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Merge branch 'master' of https://github.com/coolprop/coolprop

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Ian Bell
2014-09-11 19:01:08 +02:00
parent 1a52214c72 db79ac5b30
commit 4fd8d39a9c
114 changed files with 8223 additions and 7826 deletions
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325
dev/incompressible_liquids/CPIncomp/BaseObjects.py
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@@ -6,13 +6,13 @@ import sys
# Here we define the types. This is done to keep the definitions at one
# central place instead of hiding them somewhere in the data.
class IncompressibleData(object):
"""
The work horse of the incompressible classes.
Implements both data structures and fitting
"""
The work horse of the incompressible classes.
Implements both data structures and fitting
procedures.
"""
"""
INCOMPRESSIBLE_NOT_SET = 'notdefined'
INCOMPRESSIBLE_POLYNOMIAL = 'polynomial'
INCOMPRESSIBLE_EXPPOLYNOMIAL = 'exppolynomial'
@@ -20,19 +20,19 @@ class IncompressibleData(object):
INCOMPRESSIBLE_LOGEXPONENTIAL= 'logexponential'
INCOMPRESSIBLE_POLYOFFSET = 'polyoffset'
INCOMPRESSIBLE_CHEBYSHEV = 'chebyshev'
SOURCE_DATA = 'data'
SOURCE_EQUATION = 'equation'
SOURCE_COEFFS = 'coefficients'
SOURCE_NOT_SET = 'notdefined'
maxLin = np.finfo(np.float64).max-1
minLin = -maxLin
maxLog = np.log(maxLin)
minLog = -maxLog
def __init__(self):
def __init__(self):
self.source = self.SOURCE_NOT_SET
self.type = self.INCOMPRESSIBLE_NOT_SET
self.coeffs = None #np.zeros((4,4))
@@ -41,34 +41,34 @@ class IncompressibleData(object):
self.yData = None # In case you need a customised second data set (concentration?)
self.sErr = None # Coefficient of determination
self.DEBUG = False
@staticmethod
def baseFunc(x, y=0.0, xbase=0.0, ybase=0.0, eqnType=None, c=None):
if eqnType==None: raise ValueError("You did not provide data for eqnType.")
if c==None: raise ValueError("You did not provide data for the coefficients.")
if eqnType is None: raise ValueError("You did not provide data for eqnType.")
if c is None: raise ValueError("You did not provide data for the coefficients.")
if eqnType==IncompressibleData.INCOMPRESSIBLE_POLYNOMIAL:
return np.polynomial.polynomial.polyval2d(x-xbase, y-ybase, c)
elif eqnType==IncompressibleData.INCOMPRESSIBLE_POLYOFFSET:
#if y!=0.0: raise ValueError("This is 1D only, use x not y.")
return IncompressibleData.basePolyOffset(c, x) # offset included in coeffs
elif eqnType==IncompressibleData.INCOMPRESSIBLE_EXPONENTIAL:
#if y!=0.0: raise ValueError("This is 1D only, use x not y.")
return IncompressibleData.baseExponential(c, x)
elif eqnType==IncompressibleData.INCOMPRESSIBLE_LOGEXPONENTIAL:
#if y!=0.0: raise ValueError("This is 1D only, use x not y.")
return IncompressibleData.baseLogexponential(c, x)
elif eqnType==IncompressibleData.INCOMPRESSIBLE_EXPPOLYNOMIAL:
return np.exp(np.polynomial.polynomial.polyval2d(x-xbase, y-ybase, c))
else:
raise ValueError("Unknown function: {0}.".format(eqnType))
@staticmethod
def baseExponential(co, x):
r,c,coeffs = IncompressibleFitter.shapeArray(co)
@@ -76,7 +76,7 @@ class IncompressibleData(object):
raise ValueError("You have to provide a 3,1 matrix of coefficients, not ({0},{1}).".format(r,c))
coeffs_tmp = np.array(coeffs.flat)
return np.exp(np.clip( (coeffs_tmp[0]/ ( x+coeffs_tmp[1] ) - coeffs_tmp[2]),IncompressibleData.minLog,IncompressibleData.maxLog))
@staticmethod
def baseLogexponential(co, x):
r,c,coeffs = IncompressibleFitter.shapeArray(co)
@@ -93,36 +93,36 @@ class IncompressibleData(object):
offset = coeffs[0][0]
coeffs = np.array(coeffs.flat)[1:]
return np.polynomial.polynomial.polyval(x-offset, coeffs)
### Base functions that handle the custom data type, just a place holder to show the structure.
def baseFunction(self, x, y=0.0, xbase=0.0, ybase=0.0, c=None):
if c==None: c = self.coeffs
if c is None: c = self.coeffs
return self.baseFunc(x, y, xbase, ybase, self.type, c)
def fitCoeffs(self, xbase, ybase, x=None, y=None):
if (x!=None and self.xData!=None and not IncompressibleFitter.allClose(x, self.xData)) \
or (x==None and self.xData==None): raise ValueError("I do not know which x-value you would like to use. Define either x or self.xData.")
if (y!=None and self.yData!=None and not IncompressibleFitter.allClose(y, self.yData)) \
or (y==None and self.yData==None): raise ValueError("I do not know which y-value you would like to use. Define either y or self.yData.")
if x==None and self.xData!=None: x=self.xData
if y==None and self.yData!=None: y=self.yData
if (not x is None and not self.xData is None and not IncompressibleFitter.allClose(x, self.xData)) \
or (x is None and self.xData is None): raise ValueError("I do not know which x-value you would like to use. Define either x or self.xData.")
if (not y is None and not self.yData is None and not IncompressibleFitter.allClose(y, self.yData)) \
or (y is None and self.yData is None): raise ValueError("I do not know which y-value you would like to use. Define either y or self.yData.")
if x is None and not self.xData is None: x=self.xData
if y is None and not self.yData is None: y=self.yData
#res = None
#r2 = None
res,sErr = IncompressibleFitter.fitter(x=x, y=y, z=self.data, \
xbase=xbase, ybase=ybase, \
eqnType=self.type, \
coeffs=self.coeffs, DEBUG=self.DEBUG)
bestCoeffs = np.copy(res)
bestType = self.type
bestsErr = np.copy(sErr)
bestRMS = np.sqrt(np.square(bestsErr).mean()).sum()
count = 0
while bestRMS>0.03 and count<2:
#if self.DEBUG: print("Poor solution found, trying once more with more coefficients.")
@@ -134,7 +134,7 @@ class IncompressibleData(object):
xbase=xbase, ybase=ybase, \
eqnType=self.type, \
coeffs=self.coeffs, DEBUG=self.DEBUG)
elif self.type==IncompressibleData.INCOMPRESSIBLE_LOGEXPONENTIAL and self.data.size>10:
if self.DEBUG: print("Poor solution found with log exponential, trying once more with exponential polynomial.")
self.type=IncompressibleData.INCOMPRESSIBLE_EXPPOLYNOMIAL
@@ -143,7 +143,7 @@ class IncompressibleData(object):
xbase=xbase, ybase=ybase, \
eqnType=self.type, \
coeffs=self.coeffs, DEBUG=self.DEBUG)
# elif self.type==IncompressibleData.INCOMPRESSIBLE_EXPPOLYNOMIAL:
# if self.DEBUG: print("Poor solution found with exponential polynomial, trying once more with normal polynomial.")
# self.type=IncompressibleData.INCOMPRESSIBLE_POLYNOMIAL
@@ -159,53 +159,53 @@ class IncompressibleData(object):
bestType = self.type
bestsErr = np.copy(sErr)
bestRMS = RMS
count += 1
if bestCoeffs==None:
if bestCoeffs is None:
if self.DEBUG: print("There was a fitting error, no solution found.")
elif IncompressibleFitter.allClose(bestCoeffs, self.coeffs):
if self.DEBUG: print("Coefficients did not change.")
else:
if self.DEBUG: print("Best fit for: {0}".format(bestType))
self.coeffs = bestCoeffs
self.type = bestType
self.type = bestType
self.sErr = bestsErr
#if self.DEBUG: print("Fitting statistics:")
#SSE = np.square(self.sErr).sum() # Sum of squares due to error
#SST = ((zData-zData.mean())**2).sum()
#R2 = 1-(ssErr/ssTot )
def setxData(self, xData):
if self.xData==None:
if self.xData is None:
self.xData = xData
else:
if self.DEBUG: print("Cannot update xData, value is set already.")
else:
if self.DEBUG: print("Cannot update xData, value is set already.")
def setyData(self, yData):
if self.yData==None:
if self.yData is None:
self.yData = yData
else:
if self.DEBUG: print("Cannot update yData, value is set already.")
else:
if self.DEBUG: print("Cannot update yData, value is set already.")
def setxyData(self, xData, yData):
self.setxData(xData)
self.setyData(yData)
def toJSON(self):
j = {}
try:
j['coeffs'] = self.coeffs.tolist()
except:
j['coeffs'] = 'null'
j['type'] = self.type
return j
def fromJSON(self, j):
try:
self.coeffs = np.array(j['coeffs'])
@@ -213,22 +213,22 @@ class IncompressibleData(object):
except:
self.coeffs = None
self.type = IncompressibleData.INCOMPRESSIBLE_NOT_SET
return
class IncompressibleFitter(object):
@staticmethod
def allClose(a,b):
if np.array(a).shape==np.array(b).shape:
return np.allclose(a, b)
else: return False
@staticmethod
def shapeArray(array, axs=0):
"""
A function that promotes a 1D array to 2D and
A function that promotes a 1D array to 2D and
also returns the columns and rows.
1D vectors are interpreted as column vectors.
"""
@@ -254,14 +254,14 @@ class IncompressibleFitter(object):
print(array)
raise ValueError("You have to provide a 1D-vector or a 2D-matrix.")
return (r,c,np.reshape(array,(r,c)))
@staticmethod
def fitter(x=None, y=None, z=None, \
xbase=0.0, ybase=0.0, \
eqnType=None, \
coeffs=None, DEBUG=False):
""" The entry point to the fitting routines
:param x : a 1D array in x direction or 2D with one column, most likely temperature
:param y : a 1D array in y direction or 2D with one row, most likely cocentration
:param z : a 2D array of data, rows = len(x[:,0]) and cols = len(y[0])
@@ -270,46 +270,46 @@ class IncompressibleFitter(object):
:param eqnType : an instance of IncompressibleData.INCOMPRESSIBLE_ ...
:param coeffs : the initial guess and shape (!) for the desired coefficients, can be zeros
:param DEBUG : message to display
:returns : None if failed or coeffs filled with the right values
:returns : None if failed or coeffs filled with the right values
A function that selects the correct equations and
fits coefficients. Some functions require a start
guess for the coefficients to work properly.
"""
if x==None: raise ValueError("You did not provide data for the x-values.")
if y==None: raise ValueError("You did not provide data for the y-values.")
if z==None: raise ValueError("You did not provide data for the z-values.")
if xbase==None: raise ValueError("You did not provide data for xbase.")
if ybase==None: raise ValueError("You did not provide data for ybase.")
if eqnType==None: raise ValueError("You did not provide data for eqnType.")
if coeffs==None: raise ValueError("You did not provide data for the coefficients.")
if DEBUG==None: raise ValueError("You did not provide data for DEBUG.")
if x is None: raise ValueError("You did not provide data for the x-values.")
if y is None: raise ValueError("You did not provide data for the y-values.")
if z is None: raise ValueError("You did not provide data for the z-values.")
if xbase is None: raise ValueError("You did not provide data for xbase.")
if ybase is None: raise ValueError("You did not provide data for ybase.")
if eqnType is None: raise ValueError("You did not provide data for eqnType.")
if coeffs is None: raise ValueError("You did not provide data for the coefficients.")
if DEBUG is None: raise ValueError("You did not provide data for DEBUG.")
zr,zc,_ = IncompressibleFitter.shapeArray(z)
xr,xc,x = IncompressibleFitter.shapeArray(x)
yr,yc,y = IncompressibleFitter.shapeArray(y, axs=1)
if DEBUG: print("Data : ({0},{1})".format(zr,zc))
if DEBUG: print("x-axis : ({0},{1})".format(xr,xc))
if DEBUG: print("y-axis : ({0},{1})".format(yr,yc))
if zr==1 and zc==1: #
if zr==1 and zc==1: #
if DEBUG: print("Data no set, we cannot fit the coefficients")
return None,None
if (xc!=1): raise ValueError("The first input has to be a 2D array with one column.")
if (yr!=1): raise ValueError("The second input has to be a 2D array with one row.")
if (xr!=zr): raise ValueError("First independent vector and result vector have to have the same number of rows, {0} is not {1}.".format(xr,zr))
if (yc!=zc): raise ValueError("Second independent vector and result vector have to have the same number of columns, {0} is not {1}.".format(yc,zc))
if DEBUG: print("Coefficients before fitting: \n{0}".format(coeffs))
# Polynomial fitting works for both 1D and 2D functions
if eqnType==IncompressibleData.INCOMPRESSIBLE_POLYNOMIAL or eqnType==IncompressibleData.INCOMPRESSIBLE_EXPPOLYNOMIAL:
cr,cc,_ = IncompressibleFitter.shapeArray(coeffs)
if DEBUG: print("Coefficients: ({0},{1})".format(cr,cc))
if (xr==1 and xc==1 and cr>1):
@@ -321,16 +321,16 @@ class IncompressibleFitter(object):
coeffs = coeffs.T[0]
coeffs = coeffs.reshape((cr,1))
cr,cc,_ = IncompressibleFitter.shapeArray(coeffs)
if DEBUG: print("polynomial detected, fitting {0}".format(eqnType))
if cr==1 and cc==1:
if cr==1 and cc==1:
if DEBUG: print("No coefficients left to fit, aborting procedure.")
coeffs = np.array([[0.0]])
return coeffs, None
if (xr<cr):
return coeffs, None
if (xr<cr):
if DEBUG: print("Less data points than coefficients in first dimension ({0} < {1}), reducing coefficient matrix.".format(xr,cr))
coeffs = coeffs[:xr,:]
if (yc<cc):
if (yc<cc):
if DEBUG: print("Less data points than coefficients in second dimension ({0} < {1}), reducing coefficient matrix.".format(yc,cc))
coeffs = coeffs[:,:yc]
cr,cc,_ = IncompressibleFitter.shapeArray(coeffs)
@@ -345,18 +345,18 @@ class IncompressibleFitter(object):
if DEBUG: print("Sum of squared errors: {0}".format(np.square(sErr).sum()))
if DEBUG: print("Root mean squared errors: {0}".format(np.sqrt(np.square(sErr).mean()).sum()))
return coeffs,sErr
# Select if 1D or 2D fitting
if yc==1 or xr==1: # 1D fitting, only one input
if DEBUG: print("1D function detected.")
if yc==1:
if yc==1:
if DEBUG: print("Fitting {0} in x-direction.".format(eqnType))
coeffs,sErr = IncompressibleFitter.getCoeffsIterative1D(x, z, eqnType=eqnType, coeffs=coeffs, DEBUG=DEBUG)
elif xr==1:
elif xr==1:
if DEBUG: print("Fitting {0} in y-direction.".format(eqnType))
coeffs,sErr = IncompressibleFitter.getCoeffsIterative1D(y, z, eqnType=eqnType, coeffs=coeffs, DEBUG=DEBUG)
else: raise ValueError("Unknown error in matrix shapes.")
else: raise ValueError("Unknown error in matrix shapes.")
if DEBUG: print("Coefficients after fitting: \n{0}".format(coeffs))
if DEBUG: print("Standard deviation: {0}".format(np.nanstd(sErr)))
if DEBUG: print("Sum of squared errors: {0}".format(np.square(sErr).sum()))
@@ -365,13 +365,13 @@ class IncompressibleFitter(object):
elif yc>1: # 2D fitting
raise ValueError("There are no other 2D fitting functions than polynomials, cannot use {0}.".format(eqnType))
else:
raise ValueError("Unknown function.")
else:
raise ValueError("Unknown function.")
# def getCoeffs1d(self, x, z, order):
# if (len(x)<order+1):
# if (len(x)<order+1):
# raise ValueError("You have only {0} elements and try to fit {1} coefficients, please reduce the order.".format(len(x),order+1))
# A = np.vander(x,order+1)[:,::-1]
# #Anew = np.dot(A.T,A)
@@ -379,17 +379,17 @@ class IncompressibleFitter(object):
# #coeffs = np.linalg.solve(Anew, znew)
# coeffs, resids, rank, singulars = np.linalg.lstsq(A, z)
# return np.reshape(coeffs, (len(x),1))
@staticmethod
def getCoeffs2d(x_in, y_in, z_in, x_order, y_order, DEBUG=False):
if x_in==None: raise ValueError("You did not provide data for the x-values.")
if y_in==None: raise ValueError("You did not provide data for the y-values.")
if z_in==None: raise ValueError("You did not provide data for the z-values.")
if x_order==None: raise ValueError("You did not provide data for x_order.")
if y_order==None: raise ValueError("You did not provide data for y_order.")
if DEBUG==None: raise ValueError("You did not provide data for DEBUG.")
if x_in is None: raise ValueError("You did not provide data for the x-values.")
if y_in is None: raise ValueError("You did not provide data for the y-values.")
if z_in is None: raise ValueError("You did not provide data for the z-values.")
if x_order is None: raise ValueError("You did not provide data for x_order.")
if y_order is None: raise ValueError("You did not provide data for y_order.")
if DEBUG is None: raise ValueError("You did not provide data for DEBUG.")
x_order += 1
y_order += 1
#To avoid overfitting, we only use the upper left triangle of the coefficient matrix
@@ -397,105 +397,105 @@ class IncompressibleFitter(object):
y_exp = range(y_order)
limit = max(x_order,y_order)
xy_exp = []
# Construct the upper left triangle of coefficients
# Construct the upper left triangle of coefficients
for i in x_exp:
for j in y_exp:
if(i+j<limit): xy_exp.append((i,j))
# Construct input pairs
# Construct input pairs
xx, yy = np.meshgrid(x_in,y_in,indexing='ij')
xx = np.array(xx.flat)
yy = np.array(yy.flat)
zz = np.array(z_in.flat)
# TODO: Check for rows with only nan values
x_num = len(x_in)
y_num = len(y_in)
y_num = len(y_in)
cols = len(xy_exp)
eqns = x_num * y_num
#if (eqns<cols):
# raise ValueError("You have only {0} equations and try to fit {1} coefficients, please reduce the order.".format(eqns,cols))
# raise ValueError("You have only {0} equations and try to fit {1} coefficients, please reduce the order.".format(eqns,cols))
if (x_num<x_order):
raise ValueError("You have only {0} x-entries and try to fit {1} x-coefficients, please reduce the x_order.".format(x_num,x_order))
if (y_num<y_order):
raise ValueError("You have only {0} y-entries and try to fit {1} y-coefficients, please reduce the y_order.".format(y_num,y_order))
# Build the functional matrix
A = np.zeros((eqns,cols))
for i in range(eqns): # row loop
for j, (xj,yj) in enumerate(xy_exp): # makes columns
A[i][j] = xx[i]**xj * yy[i]**yj
# Remove np.nan elements
mask = np.isfinite(zz)
A = A[mask]
xx = xx[mask]
yy = yy[mask]
zz = zz[mask]
if (len(A) < cols):
raise ValueError("Your matrix has only {0} valid rows and you try to fit {1} coefficients, please reduce the order.".format(len(A),cols))
coeffs, resids, rank, singulars = np.linalg.lstsq(A, zz)
if DEBUG: print("Linear algebra solver returned:")
if DEBUG: print(coeffs)
if DEBUG: print(resids)
if DEBUG: print(rank)
if DEBUG: print(singulars)
#if resids.size>0:
# r2 = 1 - resids / (zz.size * zz.var())
#else:
# r2 = 0
#print("\n r2 2d: ",r2.shape,r2,"\n")
#Rearrange coefficients to a matrix shape
C = np.zeros((x_order,y_order))
for i, (xi,yi) in enumerate(xy_exp): # makes columns
C[xi][yi] = coeffs[i]
sErr = zz - np.polynomial.polynomial.polyval2d(xx, yy, C)
return C, sErr
@staticmethod
def getCoeffsIterative1D(x_in, z_in, eqnType, coeffs, DEBUG=False):
if x_in==None: raise ValueError("You did not provide data for the x-values.")
if z_in==None: raise ValueError("You did not provide data for the z-values.")
if eqnType==None: raise ValueError("You did not provide data for eqnType.")
if coeffs==None: raise ValueError("You did not provide data for the coefficients.")
if DEBUG==None: raise ValueError("You did not provide data for DEBUG.")
sErr = None
if x_in is None: raise ValueError("You did not provide data for the x-values.")
if z_in is None: raise ValueError("You did not provide data for the z-values.")
if eqnType is None: raise ValueError("You did not provide data for eqnType.")
if coeffs is None: raise ValueError("You did not provide data for the coefficients.")
if DEBUG is None: raise ValueError("You did not provide data for DEBUG.")
sErr = None
#fit = "Powell" # use Powell's algorithm
#fit = "BFGS" # use Broyden-Fletcher-Goldfarb-Shanno
#fit = "LMA" # use the Levenberg-Marquardt algorithm from curve_fit
#fit = "LMA" # use the Levenberg-Marquardt algorithm from curve_fit
fit = ["LMA","Powell","BFGS"] # First try LMA, use others as fall-back
# make sure that we use other routines for polynomials
if (eqnType==IncompressibleData.INCOMPRESSIBLE_POLYNOMIAL) or \
(eqnType==IncompressibleData.INCOMPRESSIBLE_EXPPOLYNOMIAL) :
raise ValueError("Please use the specific polynomial functions, they are much better.")
expLog = False
# Fitting the logarithm of z_in?
if (eqnType==IncompressibleData.INCOMPRESSIBLE_EXPONENTIAL or eqnType==IncompressibleData.INCOMPRESSIBLE_LOGEXPONENTIAL):
expLog = True
xData = np.array(x_in.flat)
if expLog: zData = np.log(z_in.flat)
else: zData = np.array(z_in.flat)
# Remove np.nan elements
mask = np.isfinite(zData)
xData = xData[mask]
zData = zData[mask]
# The residual function
# The residual function
def fun(coefficients,xArray,yArray):
"""
"""
This function takes the coefficient array and
x and y data. It evaluates the function and returns
the sum of the squared residuals if yArray is not
@@ -504,24 +504,24 @@ class IncompressibleFitter(object):
# No offset and no Tbase etc for 1D functions!
calculated = IncompressibleData.baseFunc(xArray, y=0.0, xbase=0.0, ybase=0.0, eqnType=eqnType, c=coefficients)
if expLog: calculated = np.log(calculated)
if yArray==None: return calculated
if yArray is None: return calculated
data = yArray
res = np.sum(np.square(calculated-data))
res = np.sum(np.square(calculated-data))
return res
# Loop through the list of algorithms with basic settings to keep track of our efforts
success = False
counter = 0
tolerance = 1e-16
while (not success):
algorithm = fit[counter]
#fit = "LMA" # use the Levenberg-Marquardt algorithm from curve_fit
if algorithm=="LMA":
#fit = "LMA" # use the Levenberg-Marquardt algorithm from curve_fit
if algorithm=="LMA":
def func(xVector, *coefficients):
return fun(np.array(coefficients), xVector, None)
#return self.baseFunction(xVector, 0.0, 0.0, 0.0, np.array(coefficients)) #np.array([self._PropsFit(coefficients,xName,T=Ti) for Ti in T])
try:
#print func(xData, coeffs_start)
# Do the actual fitting
@@ -543,19 +543,19 @@ class IncompressibleFitter(object):
else:
if DEBUG: print("Fit failed for {0}.".format(algorithm))
if DEBUG: sys.stdout.flush()
success = False
success = False
except RuntimeError as e:
if DEBUG: print("Exception using "+algorithm+": "+str(e))
if DEBUG: sys.stdout.flush()
success = False
#fit = "MIN" # use a home-made minimisation with Powell and Broyden-Fletcher-Goldfarb-Shanno
elif algorithm=="Powell" or algorithm=="BFGS":
arguments = (xData,zData)
#options = {'maxiter': 1e2, 'maxfev': 1e5}
try:
res = minimize(fun, coeffs, method=algorithm, args=arguments, tol=tolerance)
if res.success:
@@ -566,7 +566,7 @@ class IncompressibleFitter(object):
#ssErr = (res['fvec']**2).sum()
#ssTot = ((zData-zData.mean())**2).sum()
#r2 = 1-(ssErr/ssTot )
#print("\n r2 : ",r2.shape,r2,algorithm,"\n")
#print("\n r2 : ",r2.shape,r2,algorithm,"\n")
return res.x,sErr
else:
if DEBUG: print("Fit failed for {0}.".format(algorithm))
@@ -580,7 +580,7 @@ class IncompressibleFitter(object):
# Something went wrong, probably a typo in the algorithm selector
else:
raise (ValueError("Error: You used an unknown fit method."))
if counter<len(fit)-1:
#print("Fit did not succeed with {0}, reducing tolerance to {1}.".format(algorithm,tol))
success = False
@@ -589,14 +589,13 @@ class IncompressibleFitter(object):
tolerance *= 1e2
if DEBUG: print("Fit did not succeed, reducing tolerance to {0}.".format(tolerance))
success = False
counter = 0
counter = 0
else:
if DEBUG: print("--------------------------------------------------------------")
if DEBUG: print("Fit failed for {0}. ".format(fit))
if DEBUG: print("--------------------------------------------------------------")
return coeffs,1

18
dev/incompressible_liquids/CPIncomp/DataObjects.py
View File

@@ -21,7 +21,7 @@ class SolutionData(object):
def __init__(self):
self.significantDigits = 10
self.significantDigits = 7
self.name = None # Name of the current fluid
self.description = None # Description of the current fluid
@@ -146,7 +146,7 @@ class SolutionData(object):
def rho (self, T, p=0.0, x=0.0, c=None):
if not self.checkTPX(T, p, x): return np.NAN
if c==None:
if c is None:
c=self.density.coeffs
if self.density.type==self.density.INCOMPRESSIBLE_POLYNOMIAL:
return np.polynomial.polynomial.polyval2d(T-self.Tbase, x-self.xbase, c)
@@ -154,7 +154,7 @@ class SolutionData(object):
def c (self, T, p=0.0, x=0.0, c=None):
if not self.checkTPX(T, p, x): return np.NAN
if c==None:
if c is None:
c = self.specific_heat.coeffs
if self.specific_heat.type==self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL:
return np.polynomial.polynomial.polyval2d(T-self.Tbase, x-self.xbase, c)
@@ -168,7 +168,7 @@ class SolutionData(object):
def u (self, T, p=0.0, x=0.0, c=None):
if not self.checkTPX(T, p, x): return np.NAN
if c==None:
if c is None:
c = self.specific_heat.coeffs
if self.specific_heat.type==self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL:
c_tmp = np.polynomial.polynomial.polyint(c)
@@ -192,7 +192,7 @@ class SolutionData(object):
return self.saturation_pressure.baseFunction(T, x, self.Tbase, self.xbase, c=c)
def Tfreeze(self, T, p=0.0, x=0.0, c=None):
if c==None:
if c is None:
c = self.T_freeze.coeffs
if self.T_freeze.type==self.T_freeze.INCOMPRESSIBLE_POLYNOMIAL:
@@ -295,6 +295,8 @@ class DigitalData(SolutionData):
def writeToFile(self, data, array):
fullPath = self.getFile(data)
if not os.path.exists(os.path.dirname(fullPath)):
os.makedirs(os.path.dirname(fullPath))
stdFmt = "%1.{0}e".format(int(self.significantDigits-1))
return np.savetxt(fullPath, array, fmt=stdFmt)
@@ -327,7 +329,7 @@ class DigitalData(SolutionData):
z = None
# First we try to read the file
if (dataID!=None and os.path.isfile(self.getFile(dataID))): # File found
if (not dataID is None and os.path.isfile(self.getFile(dataID))): # File found
fileArray = self.getFromFile(dataID)
x = np.copy(fileArray[1:,0 ])
y = np.copy(fileArray[0 ,1:])
@@ -377,7 +379,7 @@ class DigitalData(SolutionData):
z = np.zeros( (len(x)+1,len(y)+1) )
r,c = z.shape
if func==None: raise ValueError("Need a function to update the data file.")
if func is None: raise ValueError("Need a function to update the data file.")
for i in range(r-1):
for j in range(c-1):
@@ -386,7 +388,7 @@ class DigitalData(SolutionData):
z[1:,0] = x
z[0,1:] = y
if dataID!=None:
if not dataID is None:
self.writeToFile(dataID, z)
else:
if DEBUG: print("Not updating data file, dataID is missing.")

99
dev/incompressible_liquids/CPIncomp/DigitalFluids.py
View File

@@ -1,10 +1,10 @@
"""
Some fluids that are part of CoolProp 4 or another
software and that have to be reimplemented for
CoolProp 5.
Some fluids that are part of CoolProp 4 or another
software and that have to be reimplemented for
CoolProp 5.
The most famous one is probably the aqueous Lithium
bromide solution. This one is going to be transferred
The most famous one is probably the aqueous Lithium
bromide solution. This one is going to be transferred
from the equations from the publication to the standard
parameter form.
@@ -14,31 +14,31 @@ import numpy as np
from CPIncomp.DataObjects import DigitalData, PureData
class LiBrData(DigitalData):
"""
"""
Lithium Bromide solution from CoolProp 4
Source: Patek et al.
"""
"""
def __init__(self):
DigitalData.__init__(self)
DigitalData.__init__(self)
import CoolProp.CoolProp as CP
self.name = "LiBr"
self.description = "Lithium-Bromide solution from Patek2006"
self.reference = "Patek2006"
self.Tmin = 273.00
self.Tmax = 500.00
self.xmax = 0.75
self.xmin = 0.00
self.xid = self.ifrac_mass
self.TminPsat = self.Tmin
self.temperature.data = self.getTrange()
self.concentration.data = self.getxrange()
# data = [self.density.data,self.specific_heat.data,self.saturation_pressure.data]
# keys = ["D", "C", "Psat"]
#
#
# import os
# for i in range(len(keys)):
# def func(T,x):
@@ -46,23 +46,30 @@ class LiBrData(DigitalData):
# #if os.path.isfile(self.getFile(key)): os.remove(self.getFile(key))
# data[i] = self.getArray(func,keys[i])
key = 'D'
def funcD(T,x):
return CP.PropsSI(key,'T',T,'P',1e8,self.name+"-{0:.4f}%".format(x*100.0))
self.density.xData,self.density.yData,self.density.data = self.getArray(dataID=key, func=funcD, x_in=self.temperature.data, y_in=self.concentration.data,DEBUG=self.density.DEBUG)
self.density.source = self.density.SOURCE_EQUATION
key = 'C'
def funcC(T,x):
return CP.PropsSI(key,'T',T,'P',1e8,self.name+"-{0:.4f}%".format(x*100.0))
self.specific_heat.xData,self.specific_heat.yData,self.specific_heat.data = self.getArray(dataID=key, func=funcC, x_in=self.temperature.data, y_in=self.concentration.data,DEBUG=self.specific_heat.DEBUG)
self.specific_heat.source = self.specific_heat.SOURCE_EQUATION
key = 'Psat'
def funcP(T,x):
return CP.PropsSI(key,'T',T,'P',1e8,self.name+"-{0:.4f}%".format(x*100.0))
self.saturation_pressure.xData,self.saturation_pressure.yData,self.saturation_pressure.data = self.getArray(dataID=key, func=funcP, x_in=self.temperature.data, y_in=self.concentration.data,DEBUG=self.saturation_pressure.DEBUG)
self.saturation_pressure.source = self.saturation_pressure.SOURCE_EQUATION
try:
key = 'D'
def funcD(T,x):
return CP.PropsSI(key,'T',T,'P',1e8,self.name+"-{0:.4f}%".format(x*100.0))
self.density.xData,self.density.yData,self.density.data = self.getArray(dataID=key, func=funcD, x_in=self.temperature.data, y_in=self.concentration.data,DEBUG=self.density.DEBUG)
self.density.source = self.density.SOURCE_EQUATION
key = 'C'
def funcC(T,x):
return CP.PropsSI(key,'T',T,'P',1e8,self.name+"-{0:.4f}%".format(x*100.0))
self.specific_heat.xData,self.specific_heat.yData,self.specific_heat.data = self.getArray(dataID=key, func=funcC, x_in=self.temperature.data, y_in=self.concentration.data,DEBUG=self.specific_heat.DEBUG)
self.specific_heat.source = self.specific_heat.SOURCE_EQUATION
key = 'Psat'
def funcP(T,x):
return CP.PropsSI(key,'T',T,'P',1e8,self.name+"-{0:.4f}%".format(x*100.0))
self.saturation_pressure.xData,self.saturation_pressure.yData,self.saturation_pressure.data = self.getArray(dataID=key, func=funcP, x_in=self.temperature.data, y_in=self.concentration.data,DEBUG=self.saturation_pressure.DEBUG)
self.saturation_pressure.source = self.saturation_pressure.SOURCE_EQUATION
except:
self.density.source = self.density.SOURCE_NOT_SET
self.specific_heat.source = self.specific_heat.SOURCE_NOT_SET
self.saturation_pressure.source = self.saturation_pressure.SOURCE_NOT_SET
@@ -70,7 +77,7 @@ class HyCool20(PureData,DigitalData):
def __init__(self):
DigitalData.__init__(self)
PureData.__init__(self)
self.name = "HY20"
self.description = "HYCOOL 20, Potassium formate"
self.reference = "Hydro Chemicals"
@@ -88,7 +95,7 @@ class HyCool20(PureData,DigitalData):
self.specific_heat.source = self.specific_heat.SOURCE_COEFFS
self.specific_heat.type = self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL
self.specific_heat.coeffs = np.array([[2.955],[0.0023]])*1e3
key = 'Cond'
def funcCond(T,x):
T = (T-self.Tbase)
@@ -97,7 +104,7 @@ class HyCool20(PureData,DigitalData):
self.conductivity.xData,self.conductivity.yData,self.conductivity.data = self.getArray(dataID=key,func=funcCond,x_in=self.temperature.data,y_in=self.concentration.data,DEBUG=self.conductivity.DEBUG)
self.conductivity.source = self.conductivity.SOURCE_EQUATION
funcCond = None
key = 'Mu'
def funcMu(T,x):
T = (T-self.Tbase)
@@ -112,7 +119,7 @@ class HyCool30(PureData,DigitalData):
def __init__(self):
DigitalData.__init__(self)
PureData.__init__(self)
self.name = "HY30"
self.description = "HYCOOL 30, Potassium formate"
self.reference = "Hydro Chemicals"
@@ -122,7 +129,7 @@ class HyCool30(PureData,DigitalData):
self.TminPsat = self.Tmax
self.Tbase = 0.00 + 273.15
self.temperature.data = self.getTrange()
self.density.source = self.density.SOURCE_COEFFS
self.density.type = self.density.INCOMPRESSIBLE_POLYNOMIAL
self.density.coeffs = np.array([[1257.5],[-0.475350]])
@@ -130,7 +137,7 @@ class HyCool30(PureData,DigitalData):
self.specific_heat.source = self.specific_heat.SOURCE_COEFFS
self.specific_heat.type = self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL
self.specific_heat.coeffs = np.array([[2.783],[0.0023]])*1e3
key = 'Cond'
def funcCond(T,x):
T = (T-self.Tbase)
@@ -139,7 +146,7 @@ class HyCool30(PureData,DigitalData):
self.conductivity.xData,self.conductivity.yData,self.conductivity.data = self.getArray(dataID=key,func=funcCond,x_in=self.temperature.data,y_in=self.concentration.data,DEBUG=self.conductivity.DEBUG)
self.conductivity.source = self.conductivity.SOURCE_EQUATION
funcCond = None
key = 'Mu'
def funcMu(T,x):
T = (T-self.Tbase)
@@ -154,7 +161,7 @@ class HyCool40(PureData,DigitalData):
def __init__(self):
DigitalData.__init__(self)
PureData.__init__(self)
self.name = "HY40"
self.description = "HYCOOL 40, Potassium formate"
self.reference = "Hydro Chemicals"
@@ -172,7 +179,7 @@ class HyCool40(PureData,DigitalData):
self.specific_heat.source = self.specific_heat.SOURCE_COEFFS
self.specific_heat.type = self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL
self.specific_heat.coeffs = np.array([[2.646],[0.0023]])*1e3
self.conductivity.source = self.conductivity.SOURCE_COEFFS
self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
self.conductivity.coeffs = np.array([[0.4826],[0.001730]])
@@ -190,7 +197,7 @@ class HyCool45(PureData,DigitalData):
def __init__(self):
DigitalData.__init__(self)
PureData.__init__(self)
self.name = "HY45"
self.description = "HYCOOL 45, Potassium formate"
self.reference = "Hydro Chemicals"
@@ -200,7 +207,7 @@ class HyCool45(PureData,DigitalData):
self.TminPsat = self.Tmax
self.Tbase = 0.00 + 273.15
self.temperature.data = self.getTrange()
self.density.source = self.density.SOURCE_COEFFS
self.density.type = self.density.INCOMPRESSIBLE_POLYNOMIAL
self.density.coeffs = np.array([[1328.7],[-0.530754]])
@@ -208,7 +215,7 @@ class HyCool45(PureData,DigitalData):
self.specific_heat.source = self.specific_heat.SOURCE_COEFFS
self.specific_heat.type = self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL
self.specific_heat.coeffs = np.array([[2.578],[0.0023]])*1e3
self.conductivity.source = self.conductivity.SOURCE_COEFFS
self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
self.conductivity.coeffs = np.array([[0.4750],[0.001674]])
@@ -226,7 +233,7 @@ class HyCool50(PureData,DigitalData):
def __init__(self):
DigitalData.__init__(self)
PureData.__init__(self)
self.name = "HY50"
self.description = "HYCOOL 50, Potassium formate"
self.reference = "Hydro Chemicals"
@@ -236,7 +243,7 @@ class HyCool50(PureData,DigitalData):
self.TminPsat = self.Tmax
self.Tbase = 0.00 + 273.15
self.temperature.data = self.getTrange()
self.density.source = self.density.SOURCE_COEFFS
self.density.type = self.density.INCOMPRESSIBLE_POLYNOMIAL
self.density.coeffs = np.array([[1359.0],[-0.552300]])
@@ -244,7 +251,7 @@ class HyCool50(PureData,DigitalData):
self.specific_heat.source = self.specific_heat.SOURCE_COEFFS
self.specific_heat.type = self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL
self.specific_heat.coeffs = np.array([[2.498],[0.0023]])*1e3
self.conductivity.source = self.conductivity.SOURCE_COEFFS
self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
self.conductivity.coeffs = np.array([[0.4660],[0.001610]])
@@ -254,7 +261,7 @@ class HyCool50(PureData,DigitalData):
T = (T-self.Tbase)
res = 0.0491*np.exp(581.12/(T+129.05))
if T > -10: return res + 0.2
else: return res
else: return res
self.viscosity.xData,self.viscosity.yData,self.viscosity.data = self.getArray(dataID=key,func=funcMu,x_in=self.temperature.data,y_in=self.concentration.data,DEBUG=self.viscosity.DEBUG)
self.viscosity.source = self.viscosity.SOURCE_EQUATION
funcMu = None

270
dev/incompressible_liquids/CPIncomp/SecCoolFluids.py
View File

@@ -1,35 +1,36 @@
from __future__ import division, print_function
import numpy as np
from BaseObjects import IncompressibleData
from DataObjects import DigitalData, PureData
from DataObjects import DigitalData, PureData
import os, sys
from scipy import interpolate
from scipy import interpolate
from CPIncomp.BaseObjects import IncompressibleFitter
from scipy.io.matlab.miobase import arr_dtype_number
class SecCoolSolutionData(DigitalData):
"""
"""
A base class that can be fed with a fluid ID from SecCool
to read data files sitting in data/SecCool/xMass and
data/SecCool/xVolume.
"""
to read data files sitting in data/SecCool/xMass and
data/SecCool/xVolume.
"""
def __init__(self,sFile=None,sFolder=None,name=None,desc=None,ref='SecCool software'):
DigitalData.__init__(self)
self.allowNegativeData = False
if sFile == None: raise ValueError("File name cannot be empty.")
if sFolder == None: raise ValueError("Folder name cannot be empty.")
if name == None: raise ValueError("Fluid name cannot be empty.")
if desc == None: raise ValueError("Description cannot be empty.")
self.sFile = sFile
self.sFolder = sFolder
self.name = name
self.description = desc
self.reference = ref
self.temperature.data,self.concentration.data,self.density.data = self.getArray(dataID='Rho')
self.Tmax = np.max(self.temperature.data)
self.Tmin = np.min(self.temperature.data)
self.xmax = np.max(self.concentration.data)
@@ -41,10 +42,10 @@ class SecCoolSolutionData(DigitalData):
elif self.sFolder=='xPure':
self.xid = self.ifrac_pure
else:
raise ValueError("Unknown folder type specified.")
raise ValueError("Unknown folder type specified.")
self.TminPsat = self.Tmax
try:
self.density.xData,self.density.yData,self.density.data = self.getArray(dataID="Rho")
while np.max(self.density.data[np.isfinite(self.density.data)])<500: # Expect values around 1e3
@@ -53,7 +54,7 @@ class SecCoolSolutionData(DigitalData):
except:
if self.density.DEBUG: print("Could not load {}".format(self.getFile("Rho")))
pass
try:
self.specific_heat.xData,self.specific_heat.yData,self.specific_heat.data = self.getArray(dataID='Cp')
while np.max(self.specific_heat.data[np.isfinite(self.specific_heat.data)])<1000: # Expect values around 2e3
@@ -62,16 +63,16 @@ class SecCoolSolutionData(DigitalData):
except:
if self.density.DEBUG: print("Could not load {}".format(self.getFile("Cp")))
pass
try:
self.conductivity.xData,self.conductivity.yData,self.conductivity.data = self.getArray(dataID='Cond')
while np.max(self.conductivity.data[np.isfinite(self.conductivity.data)])>2: # Expect value below 1
self.conductivity.data *= 0.1
self.conductivity.data *= 0.1
self.conductivity.source = self.conductivity.SOURCE_DATA
except:
if self.density.DEBUG: print("Could not load {}".format(self.getFile("Cond")))
pass
try:
self.viscosity.xData,self.viscosity.yData,self.viscosity.data = self.getArray(dataID='Mu')
while np.max(self.viscosity.data[np.isfinite(self.viscosity.data)])>0.2: # Expect value below 0.1
@@ -80,12 +81,12 @@ class SecCoolSolutionData(DigitalData):
except:
if self.density.DEBUG: print("Could not load {}".format(self.getFile("Mu")))
pass
# def interp(self, tOld, xOld, dataNew):
# tCur = self.temperature.data
# xCur = self.concentration.data
#
# xCur = self.concentration.data
#
# data = None
# if len(tCur)==1: # 1d in concentration
# f = interpolate.interp1d(xCur, dataNew.flat)#, kind='cubic')
@@ -97,11 +98,11 @@ class SecCoolSolutionData(DigitalData):
# f = interpolate.interp2d(xCur, tCur, dataNew)#, kind='cubic')
# data = f(xOld,tOld)
# return data
# def interp(self, tOld, xOld, dataNew):
# tCur = self.temperature.data
# xCur = self.concentration.data
#
# xCur = self.concentration.data
#
# data = None
# if len(tCur)==1: # 1d in concentration
# f = interpolate.InterpolatedUnivariateSpline(xCur, dataNew.flat, k=1)
@@ -115,20 +116,20 @@ class SecCoolSolutionData(DigitalData):
# data = f(xOld,tOld)
# return data
def fitFluid(self):
if self.Tbase==None:
self.Tbase = (self.Tmin + self.Tmax) / 2.0
if self.xbase==None:
self.xbase = (self.xmin + self.xmax) / 2.0
std_coeffs = np.zeros((4,6))
errList = (ValueError, AttributeError, TypeError, RuntimeError)
try:
self.density.coeffs = np.copy(std_coeffs)
self.density.type = self.density.INCOMPRESSIBLE_POLYNOMIAL
@@ -136,15 +137,15 @@ class SecCoolSolutionData(DigitalData):
except errList as ve:
if self.density.DEBUG: print("{0}: Could not fit polynomial {1} coefficients: {2}".format(self.name,'density',ve))
pass
try:
self.specific_heat.coeffs = np.copy(std_coeffs)
self.specific_heat.type = self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL
self.specific_heat.fitCoeffs(self.Tbase,self.xbase)
self.specific_heat.fitCoeffs(self.Tbase,self.xbase)
except errList as ve:
if self.specific_heat.DEBUG: print("{0}: Could not fit polynomial {1} coefficients: {2}".format(self.name,'specific heat',ve))
pass
pass
try:
self.conductivity.coeffs = np.copy(std_coeffs)
self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
@@ -152,7 +153,7 @@ class SecCoolSolutionData(DigitalData):
except errList as ve:
if self.conductivity.DEBUG: print("{0}: Could not fit polynomial {1} coefficients: {2}".format(self.name,'conductivity',ve))
pass
# try:
# self.viscosity.coeffs = np.copy(std_coeffs)
# self.viscosity.type = self.viscosity.INCOMPRESSIBLE_EXPPOLYNOMIAL
@@ -160,14 +161,14 @@ class SecCoolSolutionData(DigitalData):
# except errList as ve:
# if self.viscosity.DEBUG: print("{0}: Could not fit polynomial {1} coefficients: {2}".format(self.name,'viscosity',ve))
# pass
try:
tried = False
if len(self.viscosity.yData)==1:# and np.isfinite(fluidObject.viscosity.data).sum()<10:
self.viscosity.coeffs = np.array([+7e+2, -6e+1, +1e+1])
self.viscosity.type = IncompressibleData.INCOMPRESSIBLE_EXPONENTIAL
self.viscosity.fitCoeffs(self.Tbase,self.xbase)
if self.viscosity.coeffs==None or IncompressibleFitter.allClose(self.viscosity.coeffs, np.array([+7e+2, -6e+1, +1e+1])): # Fit failed
if self.viscosity.coeffs is None or IncompressibleFitter.allClose(self.viscosity.coeffs, np.array([+7e+2, -6e+1, +1e+1])): # Fit failed
tried = True
if len(self.viscosity.yData)>1 or tried:
self.viscosity.coeffs = np.copy(std_coeffs)#np.zeros(np.round(np.array(std_coeffs.shape) * 1.5))
@@ -176,18 +177,18 @@ class SecCoolSolutionData(DigitalData):
except errList as ve:
if self.viscosity.DEBUG: print("{0}: Could not fit polynomial {1} coefficients: {2}".format(self.name,'viscosity',ve))
pass
# reset data for getArray and read special files
if self.xid!=self.ifrac_pure and self.xid!=self.ifrac_undefined:
allowNegativeData_org = self.allowNegativeData
self.allowNegativeData = True
try:
x,_,z = self.getArray(dataID='TFreeze')
self.T_freeze.yData = (x - 273.15) / 100.0
self.T_freeze.xData = [0.0]
if np.min(z)<150: z += 273.15
if np.min(z)<150: z += 273.15
self.T_freeze.data = z.T
try:
self.T_freeze.source = self.T_freeze.SOURCE_DATA
@@ -197,7 +198,7 @@ class SecCoolSolutionData(DigitalData):
#if np.isfinite(self.T_freeze.data).sum()<10:
# self.T_freeze.coeffs = np.array([+7e+6, +6e+4, +1e+1])
# self.T_freeze.type = self.T_freeze.INCOMPRESSIBLE_EXPONENTIAL
#else:
#else:
# self.T_freeze.coeffs = np.zeros(np.round(np.array(std_coeffs.shape) * 2))
# self.T_freeze.type = self.T_freeze.INCOMPRESSIBLE_EXPPOLYNOMIAL
#self.T_freeze.fitCoeffs(self.Tbase,self.xbase)
@@ -211,10 +212,10 @@ class SecCoolSolutionData(DigitalData):
# reset data for getArray again
self.allowNegativeData = allowNegativeData_org
try:
x,_,z = self.getArray(dataID='Vol2Mass')
x,_,z = self.getArray(dataID='Vol2Mass')
massData = z[:,0] /100.0
volData = (x - 273.15) /100.0
if self.xid==self.ifrac_volume:
_,_,self.mass2input.data = IncompressibleFitter.shapeArray(volData,axs=1)
self.mass2input.xData = [0.0]
@@ -245,14 +246,19 @@ class SecCoolSolutionData(DigitalData):
if self.mass2input.DEBUG or self.volume2input.DEBUG: print("{0}: Could not load {1} data: {2}".format(self.name,"Vol2Mass",ve))
pass
# Redefine some functions to avoid data loss
def getFile(self, data):
return os.path.join(os.path.dirname(__file__), 'data','SecCool', self.sFolder, self.sFile+"_"+data+".txt")
def getFromFile(self, data):
fullPath = self.getFile(data)
# TODO: improve this case
if not os.path.isfile(fullPath):
arr = np.empty((1,1))
arr[:] = np.NAN
return arr
r,c,res = IncompressibleFitter.shapeArray(np.loadtxt(fullPath,dtype=type('string')))
# numbers = res.astype(np.float)
numbers = np.zeros((r,c))
@@ -270,24 +276,24 @@ class SecCoolSolutionData(DigitalData):
if i==0: nu = 0.0 # Dummy for tables without concentration (TFreeze and Vol2Mass)
pass
numbers[i,j] = nu
if numbers[1,0]>numbers[-1,0]:
if numbers[1,0]>numbers[-1,0]:
numbers[1:,:] = numbers[1:,:][::-1,:]
if numbers[0,1]>numbers[0,-1]:
if numbers[0,1]>numbers[0,-1]:
numbers[:,1:] = numbers[:,1:][:,::-1]
return numbers
return numbers
def writeToFile(self, data, array):
raise ValueError("You should not overwrite the SecCool data.")
@staticmethod
def factory():
"""
A static method that returns a list of SecCool
solutions. Coefficients are fitted by calling
fitFluid and then the objects should be ready
fitFluid and then the objects should be ready
to be written to JSON.
"""
print("Loading SecCool fluids: ", end="")
print("Loading SecCool fluids: ", end="")
sec = []
sec += [SecCoolSolutionData(sFile='Antifrogen KF' ,sFolder='xVolume',name='AKF',desc='Antifrogen KF, Potassium Formate' ,ref='Clariant GmbH Jan. 2000, SecCool software')]
print("{0}".format(sec[-1].name), end="")
@@ -315,7 +321,7 @@ class SecCoolSolutionData(DigitalData):
print(", {0}".format(sec[-1].name), end="")
sec += [SecCoolSolutionData(sFile='Zitrec M' ,sFolder='xVolume',name='ZM' ,desc='Zitrec M, Ethylene Glycol' ,ref='Arteco, SecCool software')]
print(", {0}".format(sec[-1].name), end="")
sec += [SecCoolSolutionData(sFile='Melinder, Ammonia' ,sFolder='xMass',name='MAM2',desc='Melinder, Ammonia' ,ref='Melinder-BOOK-2010, SecCool software')]
print(", {0}".format(sec[-1].name), end="")
sec += [SecCoolSolutionData(sFile='Melinder, Calcium Cloride' ,sFolder='xMass',name='MCA2',desc='Melinder, Calcium Chloride' ,ref='Melinder-BOOK-2010, SecCool software')]
@@ -381,14 +387,14 @@ class SecCoolSolutionData(DigitalData):
print(", {0}".format(sec[-1].name), end="")
sec += [SecCoolSolutionData(sFile='Dowtherm Q' ,sFolder='xPure',name='DowQ2',desc='Dowtherm Q, Diphenylethane/alkylated aromatics' ,ref='Dow Chemicals, SecCool software')]
print(", {0}".format(sec[-1].name), end="")
sec += [SecCoolIceData(sFile='IceEA' ,sFolder='xMass',name='IceEA',desc='Ice slurry with Ethanol' ,ref='Danish Technological Institute, SecCool software')]
print(", {0}".format(sec[-1].name), end="")
sec += [SecCoolIceData(sFile='IceNA' ,sFolder='xMass',name='IceNA',desc='Ice slurry with NaCl' ,ref='Danish Technological Institute, SecCool software')]
print(", {0}".format(sec[-1].name), end="")
sec += [SecCoolIceData(sFile='IcePG' ,sFolder='xMass',name='IcePG',desc='Ice slurry with Propylene Glycol' ,ref='Danish Technological Institute, SecCool software')]
print(", {0}".format(sec[-1].name), end="")
sec += [ThermogenVP1869()]
print(", {0}".format(sec[-1].name), end="")
sec += [Freezium()]
@@ -403,43 +409,43 @@ class SecCoolSolutionData(DigitalData):
print(", {0}".format(sec[-1].name), end="")
sec += [AS55()]
print(", {0}".format(sec[-1].name), end="")
print(" ... done")
return sec
class SecCoolIceData(SecCoolSolutionData):
"""
"""
A base class that can be fed with a fluid ID from SecCool
to read data files sitting in data/SecCool/xTables.
"""
"""
def __init__(self,sFile=None,sFolder=None,name=None,desc=None,ref='Danish Technological Institute, SecCool software'):
SecCoolSolutionData.__init__(self,sFile=sFile,sFolder=sFolder,name=name,desc=desc,ref=ref)
#self.density.xData,self.density.yData,self.density.data = self.getArray(dataID="Rho")
#self.density.source = self.density.SOURCE_DATA
self.specific_heat.xData,self.specific_heat.yData,self.specific_heat.data = self.getArray(dataID='Hfusion')
self.specific_heat.source = self.specific_heat.SOURCE_DATA
#self.conductivity.xData,self.conductivity.yData,self.conductivity.data = self.getArray(dataID='Cond')
#self.conductivity.source = self.conductivity.SOURCE_DATA
#self.viscosity.xData,self.viscosity.yData,self.viscosity.data = self.getArray(dataID='Mu')
#self.viscosity.source = self.viscosity.SOURCE_DATA
# def fitFluid(self):
# if self.Tbase==None:
# self.Tbase = (self.Tmin + self.Tmax) / 2.0
# if self.xbase==None:
# self.xbase = (self.xmin + self.xmax) / 2.0
#
#
# std_coeffs = np.zeros((4,6))
# errList = (ValueError, AttributeError, TypeError, RuntimeError)
#
#
# try:
# self.density.coeffs = np.copy(std_coeffs)
# self.density.type = self.density.INCOMPRESSIBLE_POLYNOMIAL
@@ -447,15 +453,15 @@ class SecCoolIceData(SecCoolSolutionData):
# except errList as ve:
# if self.density.DEBUG: print("{0}: Could not fit polynomial {1} coefficients: {2}".format(self.name,'density',ve))
# pass
#
#
# try:
# self.specific_heat.coeffs = np.copy(std_coeffs)
# self.specific_heat.type = self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL
# self.specific_heat.fitCoeffs(self.Tbase,self.xbase)
# self.specific_heat.fitCoeffs(self.Tbase,self.xbase)
# except errList as ve:
# if self.specific_heat.DEBUG: print("{0}: Could not fit polynomial {1} coefficients: {2}".format(self.name,'specific heat',ve))
# pass
#
# pass
#
# try:
# self.conductivity.coeffs = np.copy(std_coeffs)
# self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
@@ -463,7 +469,7 @@ class SecCoolIceData(SecCoolSolutionData):
# except errList as ve:
# if self.conductivity.DEBUG: print("{0}: Could not fit polynomial {1} coefficients: {2}".format(self.name,'conductivity',ve))
# pass
#
#
# try:
# self.viscosity.coeffs = np.copy(std_coeffs)
# self.viscosity.type = self.viscosity.INCOMPRESSIBLE_EXPPOLYNOMIAL
@@ -472,12 +478,12 @@ class SecCoolIceData(SecCoolSolutionData):
# if self.viscosity.DEBUG: print("{0}: Could not fit polynomial {1} coefficients: {2}".format(self.name,'viscosity',ve))
# pass
# Redefine some functions to avoid data loss
def getFile(self, data):
return os.path.join(os.path.dirname(__file__), 'data','SecCool','xTables', self.sFolder, self.sFile+"_"+data+".csv")
def getFromFile(self, data):
fullPath = self.getFile(data)
content = np.loadtxt(fullPath,dtype=type('string'),delimiter=",",skiprows=3)
@@ -497,35 +503,35 @@ class SecCoolIceData(SecCoolSolutionData):
if i==0: nu = 0.0 # Dummy for tables without concentration (TFreeze and Vol2Mass)
pass
numbers[i,j] = nu
if numbers[1,0]>numbers[-1,0]:
if numbers[1,0]>numbers[-1,0]:
numbers[1:,:] = numbers[1:,:][::-1,:]
if numbers[0,1]>numbers[0,-1]:
if numbers[0,1]>numbers[0,-1]:
numbers[:,1:] = numbers[:,1:][:,::-1]
return numbers
return numbers
class ThermogenVP1869(PureData,DigitalData):
"""
"""
Source: SecCool Software
"""
def __init__(self):
"""
def __init__(self):
DigitalData.__init__(self)
PureData.__init__(self)
PureData.__init__(self)
self.name = "TVP1869"
self.description = "Thermogen VP 1869"
self.reference = "Hoechst, SecCool software"
self.Tmax = 20 + 273.15
self.Tmin = -80 + 273.15
self.TminPsat = self.Tmax
self.Tbase = 0.00 + 273.15
self.density.source = self.density.SOURCE_COEFFS
self.density.type = self.density.INCOMPRESSIBLE_POLYNOMIAL
self.density.coeffs = np.array([[945.5454545],[-1.054545455]])
self.specific_heat.source = self.specific_heat.SOURCE_COEFFS
self.specific_heat.type = self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL
self.specific_heat.coeffs = np.array([[2.322218182],[0.003843636]])*1000
@@ -533,19 +539,19 @@ class ThermogenVP1869(PureData,DigitalData):
self.conductivity.source = self.conductivity.SOURCE_COEFFS
self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
self.conductivity.coeffs = np.array([[0.15],[-0.000154545]])
self.temperature.data = self.getTrange()
self.concentration.data = np.array([0.0]) # mass fraction
def fitFluid(self):
def fitFluid(self):
key = 'Mu'
def funcMu(T,x):
T = T-self.Tbase
return (341.3688975+T*(-0.713408301+0.017723992*T))/(1.0+T*(0.034502393+T*(0.000401319+1.57288E-06*T)))*1e-2*1e-3
self.viscosity.xData,self.viscosity.yData,self.viscosity.data = self.getArray(dataID=key,func=funcMu,x_in=self.temperature.data,y_in=self.concentration.data)
try:
self.viscosity.source = self.viscosity.SOURCE_EQUATION
self.viscosity.type = self.viscosity.INCOMPRESSIBLE_EXPPOLYNOMIAL
@@ -553,31 +559,31 @@ class ThermogenVP1869(PureData,DigitalData):
self.viscosity.fitCoeffs(self.Tbase,self.xbase)
except (ValueError, AttributeError, TypeError, RuntimeError) as e:
if self.viscosity.DEBUG: print("{0}: Could not fit polynomial {1} coefficients: {2}".format(self.name,'viscosity',e))
pass
pass
class Freezium(DigitalData):
def __init__(self):
DigitalData.__init__(self)
DigitalData.__init__(self)
self.name = "FRE"
self.description = "Freezium, Potassium Formate"
self.reference = "Kemira Chemicals OY, SecCool software"
self.Tmin = -40 + 273.00
self.Tmax = +40 + 273.00
self.xmax = 0.50
self.xmin = 0.19
self.xid = self.ifrac_mass
self.TminPsat = self.Tmax
self.Tbase = 273.15
self.xbase = 0.0
self.temperature.data = self.getTrange()
self.concentration.data = self.getxrange()
self.density.source = self.density.SOURCE_COEFFS
self.density.type = self.density.INCOMPRESSIBLE_POLYNOMIAL
self.density.coeffs = np.array([[1015,462,406],[-40/100.0,0.0,0.0]])
@@ -585,17 +591,17 @@ class Freezium(DigitalData):
self.conductivity.source = self.conductivity.SOURCE_COEFFS
self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
self.conductivity.coeffs = np.array([[0.55,-0.15],[0.18/100.0,-0.16/100.0]])
def fitFluid(self):
key = 'Cp'
def funcCp(T,x):
T = (T-self.Tbase)/100.0
return (4.15*np.exp(-0.9*x)+0.63*T*x)*1000.0
self.specific_heat.xData,self.specific_heat.yData,self.specific_heat.data = self.getArray(dataID=key,func=funcCp,x_in=self.temperature.data,y_in=self.concentration.data,DEBUG=self.specific_heat.DEBUG)
try:
self.specific_heat.source = IncompressibleData.SOURCE_EQUATION
self.specific_heat.type = IncompressibleData.INCOMPRESSIBLE_POLYNOMIAL
@@ -603,9 +609,9 @@ class Freezium(DigitalData):
self.specific_heat.fitCoeffs(self.Tbase,self.xbase)
except (ValueError, AttributeError, TypeError, RuntimeError) as e:
if self.specific_heat.DEBUG: print("{0}: Could not fit polynomial {1} coefficients: {2}".format(self.name,'specific heat',e))
pass
pass
funcCp = None
key = 'Mu'
def funcMu(T,x):
@@ -614,7 +620,7 @@ class Freezium(DigitalData):
return self.rho(T, 1e6, x)*np.power(10,result)*1E-3;
self.viscosity.xData,self.viscosity.yData,self.viscosity.data = self.getArray(dataID=key,func=funcMu,x_in=self.temperature.data,y_in=self.concentration.data,DEBUG=self.viscosity.DEBUG)
try:
self.viscosity.source = IncompressibleData.SOURCE_EQUATION
self.viscosity.type = IncompressibleData.INCOMPRESSIBLE_EXPPOLYNOMIAL
@@ -624,8 +630,8 @@ class Freezium(DigitalData):
if self.viscosity.DEBUG: print("{0}: Could not fit polynomial {1} coefficients: {2}".format(self.name,'viscosity',e))
pass
funcMu = None
# Changed the coefficient order for TFreeze
key = 'Tfreeze'
def funcTf(T,x):
@@ -641,20 +647,20 @@ class Freezium(DigitalData):
i = 2.41704396074865E-08
j = 4.314861246570078E-11
return ((a+x*(c+x*(e+x*(g+i*x))))/(1+x*(b+x*(d+x*(f+x*(h+j*x)))))*100)+273.15
self.T_freeze.xData,self.T_freeze.yData,self.T_freeze.data = self.getArray(dataID=key,func=funcTf,x_in=np.array([0.0]),y_in=self.concentration.data,DEBUG=self.T_freeze.DEBUG)
try:
try:
self.T_freeze.coeffs = np.zeros((4,6))
self.T_freeze.source = IncompressibleData.SOURCE_EQUATION
self.T_freeze.type = IncompressibleData.INCOMPRESSIBLE_POLYNOMIAL
self.T_freeze.fitCoeffs(self.Tbase,self.xbase)
except (ValueError, AttributeError, TypeError, RuntimeError) as e:
if self.T_freeze.DEBUG: print("{0}: Could not fit polynomial {1} coefficients: {2}".format(self.name,'T freeze',e))
pass
pass
funcTf = None
class AS10(PureData,DigitalData):
def __init__(self):
@@ -717,7 +723,7 @@ class AS20(PureData,DigitalData):
self.conductivity.source = self.conductivity.SOURCE_COEFFS
self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
self.conductivity.coeffs = np.array([[0.001342],[+ 0.480766]])[::-1]
def fitFluid(self):
key = 'Mu'
@@ -726,7 +732,7 @@ class AS20(PureData,DigitalData):
return 2.43708721027941*np.exp(-0.0537593944541809*T) + 0.97244
self.viscosity.xData,self.viscosity.yData,self.viscosity.data = self.getArray(dataID=key,func=funcMu,x_in=self.temperature.data,y_in=self.concentration.data,DEBUG=self.viscosity.DEBUG)
try:
self.viscosity.source = self.viscosity.SOURCE_EQUATION
self.viscosity.type = self.viscosity.INCOMPRESSIBLE_EXPPOLYNOMIAL
@@ -774,7 +780,7 @@ class AS30(PureData,DigitalData):
return 2.65653950695888*np.exp(-0.0598806339442954*T) + 1.30143
self.viscosity.xData,self.viscosity.yData,self.viscosity.data = self.getArray(dataID=key,func=funcMu,x_in=self.temperature.data,y_in=self.concentration.data,DEBUG=self.viscosity.DEBUG)
try:
self.viscosity.source = self.viscosity.SOURCE_EQUATION
self.viscosity.type = self.viscosity.INCOMPRESSIBLE_EXPPOLYNOMIAL
@@ -821,7 +827,7 @@ class AS40(PureData,DigitalData):
return 0.714976365635003*np.exp(-0.100050525515385*T) + 4.38768154440393*np.exp(-0.0260039000649317*T)
self.viscosity.xData,self.viscosity.yData,self.viscosity.data = self.getArray(dataID=key,func=funcMu,x_in=self.temperature.data,y_in=self.concentration.data,DEBUG=self.viscosity.DEBUG)
try:
self.viscosity.source = self.viscosity.SOURCE_EQUATION
self.viscosity.type = self.viscosity.INCOMPRESSIBLE_EXPPOLYNOMIAL
@@ -869,7 +875,7 @@ class AS55(PureData,DigitalData):
return 0.159583223482554*np.exp(-0.138097704125669*T) + 6.3176967296442*np.exp(-0.0380509974688477*T)
self.viscosity.xData,self.viscosity.yData,self.viscosity.data = self.getArray(dataID=key,func=funcMu,x_in=self.temperature.data,y_in=self.concentration.data,DEBUG=self.viscosity.DEBUG)
try:
self.viscosity.source = self.viscosity.SOURCE_EQUATION
self.viscosity.type = self.viscosity.INCOMPRESSIBLE_EXPPOLYNOMIAL
@@ -883,13 +889,13 @@ class AS55(PureData,DigitalData):

592
dev/incompressible_liquids/CPIncomp/WriterObjects.py
View File

File diff suppressed because it is too large Load Diff

76
dev/incompressible_liquids/CPIncomp/__init__.py
View File

@@ -1,7 +1,7 @@
"""
CPIncomp - Jorrit's collection of routines for fitting incompressible liquids
=====
readme.md - General instructions and copyright information / credits.
"""
@@ -12,9 +12,9 @@ from CPIncomp.SecCoolFluids import SecCoolSolutionData
def getBaseClassNames():
"""
Returns a list of names of the abstract base
classes that should not be instantiated. Can
"""
Returns a list of names of the abstract base
classes that should not be instantiated. Can
be used to build an ignore list.
"""
ignList = []
@@ -25,12 +25,12 @@ def getBaseClassNames():
def getExampleNames(obj=False):
"""
Returns a list of names of the example fluid
classes that should not be treated like the
normal fluids. Can be used to build an ignore
"""
Returns a list of names of the example fluid
classes that should not be treated like the
normal fluids. Can be used to build an ignore
list.
Use the obj switch to return the objects instead
Use the obj switch to return the objects instead
of the names.
"""
ignList = getBaseClassNames()
@@ -44,9 +44,9 @@ def getExampleNames(obj=False):
def getIgnoreNames():
"""
Returns a list of names of classes that should
not be treated like the normal fluids.
"""
Returns a list of names of classes that should
not be treated like the normal fluids.
"""
ignList = []
ignList += getBaseClassNames()
@@ -56,10 +56,10 @@ def getIgnoreNames():
def getCoefficientFluids():
"""
Returns a list of CoefficientData objects, which
Returns a list of CoefficientData objects, which
already contain all coefficients. These objects
can be written to JSON without further processing.
"""
can be written to JSON without further processing.
"""
classes = []
ignList = getIgnoreNames()
for name, obj in inspect.getmembers(CoefficientFluids):
@@ -67,24 +67,24 @@ def getCoefficientFluids():
#print(name)
if not name in ignList: # Ignore the base classes
classes.append(obj())
return classes
return classes
def getDigitalFluids():
"""
Returns a list of DigitalData objects, which
contain data for the fitting. These objects
only hold the data and you still have to call
the fitting routines.
a) Data in these classes is based on equations
Returns a list of DigitalData objects, which
contain data for the fitting. These objects
only hold the data and you still have to call
the fitting routines.
a) Data in these classes is based on equations
that cannot be converted to the forms available
in CoolProp.
b) There are no equations available, but the
fluid data can be accessed from python in the
form of another library.
b) There are no equations available, but the
fluid data can be accessed from python in the
form of another library.
c) There are data files that contain the experimental
data. The fit has to be done after laoding the fluids.
"""
"""
classes = []
ignList = getIgnoreNames()
for name, obj in inspect.getmembers(DigitalFluids):
@@ -92,18 +92,18 @@ def getDigitalFluids():
#print(name)
if not name in ignList: # Ignore the base classes
classes.append(obj())
return classes
return classes
def getMelinderFluids():
"""
Returns a list of CoefficientData objects, which
Returns a list of CoefficientData objects, which
already contain all coefficients. These objects
can be written to JSON without further processing.
All coefficients are taken from the same reference:
"Properties of Secondary Working Fluids for Indirect Systems"
written by Aake Melinder and published in 2010 by IIR
"""
written by Aake Melinder and published in 2010 by IIR
"""
classes = []
ignList = getIgnoreNames()
for name, obj in inspect.getmembers(MelinderFluids):
@@ -111,16 +111,16 @@ def getMelinderFluids():
#print(name)
if not name in ignList: # Ignore the base classes
classes.append(obj())
return classes
return classes
def getPureFluids():
"""
Returns a list of SolutionData objects, which
contain data for fitting pure fluids. These
objects only hold the data and you still have
Returns a list of SolutionData objects, which
contain data for fitting pure fluids. These
objects only hold the data and you still have
to call the fitting routines.
"""
"""
classes = []
ignList = getIgnoreNames()
for name, obj in inspect.getmembers(PureFluids):
@@ -128,18 +128,18 @@ def getPureFluids():
#print(name)
if not name in ignList: # Ignore the base classes
classes.append(obj())
return classes
return classes
def getSecCoolFluids():
"""
Returns a list of DigitalData objects, which
Returns a list of DigitalData objects, which
contain data for the fits. All objects here
implement the fitFluid() function, which can
be called to set the coefficients before writing
the JSON files.
"""
return SecCoolSolutionData.factory()
"""
return SecCoolSolutionData.factory()
def get_version():

118
dev/incompressible_liquids/Incompressibles_include_generator.py
View File

@@ -8,12 +8,14 @@ from __future__ import division, absolute_import, print_function
import os
from CPIncomp import getCoefficientFluids, getDigitalFluids, getMelinderFluids,\
getPureFluids, getSecCoolFluids
from CPIncomp.DataObjects import SolutionData
from CPIncomp.BaseObjects import IncompressibleData
import numpy as np
# See http://stackoverflow.com/questions/11347505/what-are-some-approaches-to-outputting-a-python-data-structure-to-restructuredte
def make_table(grid):
max_cols = [max(out) for out in map(list, zip(*[[len(item) for item in row] for row in grid]))]
rst = table_div(max_cols, 1)
for i, row in enumerate(grid):
header_flag = False
if i == 0 or i == len(grid)-1: header_flag = True
@@ -27,15 +29,20 @@ def table_div(max_cols, header_flag=1):
style = "="
else:
style = "-"
for max_col in max_cols:
out += max_col * style + " "
out += "\n"
return out
def normalize_row(row, max_cols):
r = ""
for i, max_col in enumerate(max_cols):
r += row[i] + (max_col - len(row[i]) + 1) * " "
return r + "\n"
def writeTextToFile(path,text):
print("Writing to file: {0}".format(path))
f = open(path, "w")
f.write(text)
f.close()
@@ -44,21 +51,50 @@ def writeTextToFile(path,text):
def writeTableToFile(path,table):
return writeTextToFile(path, make_table(table))
def getReportLink(name):
reportFile = os.path.join("report","{0}_fitreport.pdf".format(name))
return d(name,reportFile)
def normalize_row(row, max_cols):
r = ""
for i, max_col in enumerate(max_cols):
r += row[i] + (max_col - len(row[i]) + 1) * " "
def checkForNumber(number):
try:
n = float(number)
except:
n = np.NAN
pass
return n
return r + "\n"
def d(text,target):
try:
if os.path.isfile(target):
link = ":download:`{0}<{1}>`".format(text,target)
else:
link = "{0}".format(text)
except:
link = "{0}".format(text)
pass
return link
def m(math):
text = ":math:`{0}`".format(math)
return text
def c(number):
text = "{0:5.2f} deg C".format(checkForNumber(number)-273.15)
return text
def x(number):
text = "{0:3.2f}".format(checkForNumber(number))
return text
if __name__ == '__main__':
FLUID_INFO_FOLDER=os.path.join("..","..","Web","fluid_properties")
FLUID_INFO_FOLDER=os.path.abspath(os.path.join("..","..","Web","fluid_properties"))
FLUID_INFO_INCOMP_LIST=os.path.join(FLUID_INFO_FOLDER,"Incompressibles_Fluids.txt")
FLUID_INFO_MASS_LIST=os.path.join(FLUID_INFO_FOLDER,"mass-based-fluids.txt")
FLUID_INFO_MOLE_LIST=os.path.join(FLUID_INFO_FOLDER,"mole-based-fluids.txt")
FLUID_INFO_VOLU_LIST=os.path.join(FLUID_INFO_FOLDER,"volume-based-fluids.txt")
FLUID_INFO_PURE_LIST=os.path.join(FLUID_INFO_FOLDER,"pure-fluids.txt")
@@ -75,11 +111,65 @@ if __name__ == '__main__':
allObjs += pureFObjs[:]
allObjs += secCoObjs[:]
testTable = []
testTable.append(['Name', 'Description', 'Reference']) # Headline
# Parse the objects and make lists according to the data sources
dataSourceObjs = []
equaSourceObjs = []
coefSourceObjs = []
unknSourceObjs = []
# Make other lists for pure solution fluids
massBasedObjs = []
moleBasedObjs = []
voluBasedObjs = []
pureBasedObjs = []
unknBasedObjs = []
for fluid in allObjs:
testTable.append([fluid.name, fluid.description, fluid.reference])
if fluid.density.source==IncompressibleData.SOURCE_DATA:
dataSourceObjs += [fluid]
elif fluid.density.source==IncompressibleData.SOURCE_EQUATION:
equaSourceObjs += [fluid]
elif fluid.density.source==IncompressibleData.SOURCE_COEFFS:
coefSourceObjs += [fluid]
else:
unknSourceObjs += [fluid]
if fluid.xid==SolutionData.ifrac_mass:
massBasedObjs += [fluid]
elif fluid.xid==SolutionData.ifrac_mole:
moleBasedObjs += [fluid]
elif fluid.xid==SolutionData.ifrac_volume:
voluBasedObjs += [fluid]
elif fluid.xid==SolutionData.ifrac_pure:
pureBasedObjs += [fluid]
else:
unknBasedObjs += [fluid]
# After all the list got populated, we can process the entries
# and generate some tables
#
objLists = [pureBasedObjs,massBasedObjs,moleBasedObjs,voluBasedObjs]
for i in range(len(objLists)):
objLists[i] = sorted(objLists[i], key=lambda x: x.name)
filLists = [FLUID_INFO_PURE_LIST,FLUID_INFO_MASS_LIST]
filLists +=[FLUID_INFO_MOLE_LIST,FLUID_INFO_VOLU_LIST]
#
header = ['Name', 'Description', 'Reference', m('T_{min}'), m('T_{max}')]
testTable = []
testTable.append(header) # Headline
for fluid in objLists[0]:
testTable.append([getReportLink(fluid.name), fluid.description, fluid.reference, c(fluid.Tmin), c(fluid.Tmax)])
writeTableToFile(filLists[0], testTable)
#
# Process solutions
header.extend([m('x_{min}'), m('x_{max}')])
for i in range(1,len(objLists)):
testTable = []
testTable.append(header) # Headline
for fluid in objLists[i]:
testTable.append([getReportLink(fluid.name), fluid.description, fluid.reference, c(fluid.Tmin), c(fluid.Tmax), x(fluid.xmin), x(fluid.xmax)])
writeTableToFile(filLists[i], testTable)
writeTableToFile(FLUID_INFO_INCOMP_LIST, testTable)

169
dev/incompressible_liquids/all_incompressibles.py
View File

@@ -4,18 +4,64 @@ from CPIncomp import getExampleNames, getPureFluids, getCoefficientFluids,\
getDigitalFluids, getSecCoolFluids, getMelinderFluids
import sys
from CPIncomp.DataObjects import SolutionData
import argparse
import os
import numpy as np
def getTime(path):
if os.path.isfile(path):
return os.path.getctime(path)
else:
return 0
def mergePdfIfNewer(singlePdfs, combined):
from PyPDF2 import PdfFileMerger, PdfFileReader
singles_time = np.array([])
for fi in singlePdfs:
singles_time = np.append(singles_time, [getTime(fi)])
combined_time = getTime(combined)
if np.any(singles_time>combined_time):
allcombined = PdfFileMerger()
for fl in singlePdfs:
allcombined.append(PdfFileReader(fl,"rb"))
allcombined.write(combined)
if __name__ == '__main__':
runTest = False
runFitting = True
runReports = True
runSummary = True
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument("-t","--test", action='store_true', help="only run a subset of fluid")
parser.add_argument("-nf","--nofit", action='store_true', help="Do not fit the data, but read the JSON files")
parser.add_argument("-nr","--noreports", action='store_true', help="Do not write the fitting reports")
parser.add_argument("-ns","--nosummary", action='store_true', help="Do not generate the summary figures")
#parser.add_argument("-f","--fluid", help="Only process the fluid FLUID")
parser.add_argument("-fr","--fullreport", action='store_true', help="Generate one file with all fitting reports")
args = parser.parse_args()
# if args.verbosity:
# print "verbosity turned on"
if args.test: runTest = True
else: runTest = False
if args.nofit: runFitting = False
else: runFitting = True
if args.noreports: runReports = False
else: runReports = True
if args.nosummary: runSummary = False
else: runSummary = True
if args.fullreport:runFullreport = True
else: runFullreport = False
#if args.fluid: onlyFluid = args.fluid
#else: onlyFluid = None
print("")
print("Processing the incompressible fluids for CoolProp")
print("Legend: FluidName (w) | (i) -> (w)=written, (i)=ignored, unchanged coefficient or reports")
print("")
writer = SolutionDataWriter()
doneObjs = []
# To debug single fluids
if runTest:
solObjs = []
@@ -41,11 +87,11 @@ if __name__ == '__main__':
writer.writeFluidList(solObjs)
writer.writeReportList(solObjs)
sys.exit(0)
# treat the examples first
fluidObjs = getExampleNames(obj=True)
examplesToFit = ["ExamplePure","ExampleSolution","ExampleDigital","ExampleDigitalPure"]
print("\nProcessing example fluids")
for obj in fluidObjs:
if obj.name in examplesToFit:
@@ -53,12 +99,17 @@ if __name__ == '__main__':
else: writer.fromJSON(obj)
doneObjs += fluidObjs[:]
if runFitting: writer.writeFluidList(doneObjs)
if runReports: writer.writeReportList(doneObjs, pdfFile="all_examples.pdf")
# If the examples did not cause any errors,
if runReports:
# TODO: The new method for multipage PDFs produces larger files, why?
writer.writeReportList(doneObjs, pdfFile="all_examples.pdf")
#singleNames = [writer.get_report_file(fl.name) for fl in doneObjs]
#mergePdfIfNewer(singleNames, "all_examples.pdf")
# If the examples did not cause any errors,
# we can proceed to the real data.
doneObjs = []
print("\nProcessing fluids with given coefficients")
fluidObjs = getCoefficientFluids()
doneObjs += fluidObjs[:]
@@ -68,11 +119,11 @@ if __name__ == '__main__':
if runFitting: writer.fitFluidList(fluidObjs)
else: writer.readFluidList(fluidObjs)
doneObjs += fluidObjs[:]
print("\nProcessing Melinder fluids")
fluidObjs = getMelinderFluids()
doneObjs += fluidObjs[:]
print("\nProcessing pure fluids")
fluidObjs = getPureFluids()
if runFitting: writer.fitFluidList(fluidObjs)
@@ -84,57 +135,87 @@ if __name__ == '__main__':
if runFitting: writer.fitSecCoolList(fluidObjs)
else: writer.readFluidList(fluidObjs)
doneObjs += fluidObjs[:]
print("\nAll {0} fluids processed, all coefficients should be set.".format(len(doneObjs)))
print("Checking the list of fluid objects.")
#doneObjs += getCoefficientObjects()[:]
doneObjs = sorted(doneObjs, key=lambda x: x.name)
purefluids = []
solMass = []
solMole = []
solVolu = []
errors = []
for i in range(len(doneObjs)-1):
if doneObjs[i].name==doneObjs[i+1].name:
print("Conflict between {0} and {1}, aborting".format(doneObjs[i],doneObjs[i+1]))
raise ValueError("Two elements have the same name, that does not work: {0}".format(doneObjs[i].name))
for i in range(0,len(doneObjs)):
curObj = doneObjs[i]
if i < len(doneObjs)-2:
nexObj = doneObjs[i+1]
else:
if doneObjs[i].xid==SolutionData.ifrac_mass:
solMass += [doneObjs[i]]
elif doneObjs[i].xid==SolutionData.ifrac_mole:
solMole += [doneObjs[i]]
elif doneObjs[i].xid==SolutionData.ifrac_volume:
solVolu += [doneObjs[i]]
elif doneObjs[i].xid==SolutionData.ifrac_pure:
purefluids += [doneObjs[i]]
else:
errors += [doneObjs[i]]
nexObj = doneObjs[0]
if curObj.name==nexObj.name:
print("Conflict between {0} and {1}, aborting".format(curObj,nexObj))
raise ValueError("Two elements have the same name, that does not work: {0}".format(curObj.name))
else:
if curObj.xid==SolutionData.ifrac_mass:
solMass += [curObj]
elif curObj.xid==SolutionData.ifrac_mole:
solMole += [curObj]
elif curObj.xid==SolutionData.ifrac_volume:
solVolu += [curObj]
elif curObj.xid==SolutionData.ifrac_pure:
purefluids += [curObj]
else:
errors += [curObj]
if len(errors)>0:
raise ValueError("There was a problem processing the fluid(s): {0}".format([error.name for error in errors]))
solutions = solMass
solutions += solMole
solutions += solVolu
if runFitting: print("All checks passed, going to write parameters to disk.")
if runFitting: writer.writeFluidList(doneObjs)
if runReports:
if runReports:
print("Creating the fitting reports for the different groups.")
#writer.writeReportList(doneObjs)
#doneObjs.sort(key=lambda x: (x.xid ,x.name))
if len(purefluids)>0 and runReports:
if len(purefluids)>0:
print("Processing {0:2d} pure fluids - ".format(len(purefluids)), end="")
writer.writeReportList(purefluids, pdfFile="all_pure.pdf")
if len(solutions)>0 and runReports:
writer.writeReportList(purefluids)#, pdfFile="all_pure.pdf")
#singleNames = [writer.get_report_file(fl.name) for fl in purefluids]
#mergePdfIfNewer(singleNames, "all_pure.pdf")
if len(solutions)>0:
print("Processing {0:2d} solutions - ".format(len(solutions)), end="")
writer.writeReportList(solutions, pdfFile="all_solutions.pdf")
if len(errors)>0 and runReports:
print("Processing {0:2d} faulty fluids - ".format(len(errors)), end="")
writer.writeReportList(errors, pdfFile="all_errors.pdf")
writer.writeReportList(solutions)#, pdfFile="all_solutions.pdf")
#singleNames = [writer.get_report_file(fl.name) for fl in solutions]
#mergePdfIfNewer(singleNames, "all_solutions.pdf")
if runFullreport:
print("Creating the full fitting report.")
combined_name = "all_incompressibles.pdf"
if len(doneObjs)>0:
singles_time = np.array([])
for fl in doneObjs:
singles_time = np.append(singles_time, [getTime(writer.get_report_file(fl.name))])
combined_time = getTime(combined_name)
if np.any(singles_time>combined_time):
print("Processing {0:2d} fluids - ".format(len(doneObjs)), end="")
writer.writeReportList(doneObjs, pdfFile=combined_name)
if runSummary:
writer.makeSolutionPlots(solObjs=doneObjs, pdfObj=None)
print("All done, bye")
sys.exit(0)

230
dev/incompressible_liquids/json/AEG.json
View File

@@ -2,53 +2,53 @@
"T_freeze": {
"coeffs": [
[
5.609719171e+00,
-6.509781426e-02,
-9.158158969e-01,
3.290908403e+00,
-7.040654955e+00,
4.622115836e+00
5.609719e+00,
-6.509781e-02,
-9.158159e-01,
3.290908e+00,
-7.040655e+00,
4.622116e+00
]
],
"type": "exppolynomial"
},
"Tbase": 0.000000000e+00,
"Tmax": 3.731500000e+02,
"Tmin": 2.381500000e+02,
"TminPsat": 3.731500000e+02,
"Tbase": 0.000000e+00,
"Tmax": 3.731500e+02,
"Tmin": 2.381500e+02,
"TminPsat": 3.731500e+02,
"conductivity": {
"coeffs": [
[
-9.620598770e-01,
2.536521578e+00,
-2.430821209e+00,
1.895451529e+00,
-2.121385266e+00,
1.192263427e+00
-9.620599e-01,
2.536522e+00,
-2.430821e+00,
1.895452e+00,
-2.121385e+00,
1.192263e+00
],
[
9.358664249e-03,
-2.056496962e-02,
1.696770884e-02,
-3.191381138e-03,
-2.372098448e-04,
0.000000000e+00
9.358664e-03,
-2.056497e-02,
1.696771e-02,
-3.191382e-03,
-2.372098e-04,
0.000000e+00
],
[
-1.553655193e-05,
4.325203303e-05,
-4.127655083e-05,
5.716024111e-06,
0.000000000e+00,
0.000000000e+00
-1.553655e-05,
4.325203e-05,
-4.127655e-05,
5.716025e-06,
0.000000e+00,
0.000000e+00
],
[
5.888191482e-09,
-2.839873155e-08,
3.179826982e-08,
0.000000000e+00,
0.000000000e+00,
0.000000000e+00
5.888192e-09,
-2.839873e-08,
3.179827e-08,
0.000000e+00,
0.000000e+00,
0.000000e+00
]
],
"type": "polynomial"
@@ -56,36 +56,36 @@
"density": {
"coeffs": [
[
9.077632768e+02,
4.596565992e+01,
4.900762762e+02,
-9.721285018e+02,
1.286739890e+03,
-6.933963025e+02
9.077633e+02,
4.596569e+01,
4.900762e+02,
-9.721284e+02,
1.286740e+03,
-6.933962e+02
],
[
8.291603597e-01,
1.250161391e+00,
-2.112928772e+00,
6.693383373e-01,
-6.817559763e-02,
0.000000000e+00
8.291604e-01,
1.250161e+00,
-2.112929e+00,
6.693382e-01,
-6.817555e-02,
0.000000e+00
],
[
-1.516858652e-03,
-4.344982336e-03,
5.280182470e-03,
-8.979712141e-04,
0.000000000e+00,
0.000000000e+00
-1.516859e-03,
-4.344982e-03,
5.280183e-03,
-8.979712e-04,
0.000000e+00,
0.000000e+00
],
[
-9.073173335e-07,
4.118599010e-06,
-4.391163613e-06,
0.000000000e+00,
0.000000000e+00,
0.000000000e+00
-9.073173e-07,
4.118599e-06,
-4.391163e-06,
0.000000e+00,
0.000000e+00,
0.000000e+00
]
],
"type": "polynomial"
@@ -94,12 +94,12 @@
"mass2input": {
"coeffs": [
[
-8.676771554e-05,
8.711163256e-01,
2.899710201e-01,
-7.174561966e-01,
1.423644598e+00,
-1.011664968e+00
-8.676772e-05,
8.711163e-01,
2.899710e-01,
-7.174562e-01,
1.423645e+00,
-1.011665e+00
]
],
"type": "polynomial"
@@ -117,36 +117,36 @@
"specific_heat": {
"coeffs": [
[
3.692583306e+03,
-2.599097397e+03,
-2.952576827e+03,
9.103511481e+03,
-1.434572178e+04,
7.905301276e+03
3.692583e+03,
-2.599098e+03,
-2.952576e+03,
9.103510e+03,
-1.434572e+04,
7.905301e+03
],
[
1.858463775e+00,
3.985895633e+00,
-2.054892937e+00,
5.007961160e+00,
-6.689401609e-01,
0.000000000e+00
1.858464e+00,
3.985896e+00,
-2.054894e+00,
5.007963e+00,
-6.689408e-01,
0.000000e+00
],
[
-2.493095175e-03,
9.117152014e-03,
-6.471693745e-03,
-5.359817322e-03,
0.000000000e+00,
0.000000000e+00
-2.493095e-03,
9.117152e-03,
-6.471693e-03,
-5.359818e-03,
0.000000e+00,
0.000000e+00
],
[
2.916138000e-06,
-1.239414374e-05,
1.419542775e-05,
0.000000000e+00,
0.000000000e+00,
0.000000000e+00
2.916138e-06,
-1.239414e-05,
1.419542e-05,
0.000000e+00,
0.000000e+00,
0.000000e+00
]
],
"type": "polynomial"
@@ -154,36 +154,36 @@
"viscosity": {
"coeffs": [
[
-9.083208802e+00,
2.959048724e+02,
-3.535369530e+02,
1.915320586e+02,
-3.745698255e+02,
2.528586677e+02
-9.083209e+00,
2.959049e+02,
-3.535370e+02,
1.915320e+02,
-3.745697e+02,
2.528586e+02
],
[
7.656352416e-02,
-2.655212153e+00,
2.746158844e+00,
4.594103103e-01,
-2.651483568e-01,
0.000000000e+00
7.656353e-02,
-2.655212e+00,
2.746159e+00,
4.594102e-01,
-2.651484e-01,
0.000000e+00
],
[
-3.961535543e-04,
8.362833749e-03,
-9.286505419e-03,
-2.477100848e-04,
0.000000000e+00,
0.000000000e+00
-3.961536e-04,
8.362834e-03,
-9.286506e-03,
-2.477100e-04,
0.000000e+00,
0.000000e+00
],
[
5.171920158e-07,
-8.726740791e-06,
9.973463365e-06,
0.000000000e+00,
0.000000000e+00,
0.000000000e+00
5.171920e-07,
-8.726741e-06,
9.973463e-06,
0.000000e+00,
0.000000e+00,
0.000000e+00
]
],
"type": "exppolynomial"
@@ -192,8 +192,8 @@
"coeffs": "null",
"type": "notdefined"
},
"xbase": 0.000000000e+00,
"xbase": 0.000000e+00,
"xid": "volume",
"xmax": 6.000000000e-01,
"xmin": 1.000000000e-01
"xmax": 6.000000e-01,
"xmin": 1.000000e-01
}

266
dev/incompressible_liquids/json/AKF.json
View File

@@ -2,53 +2,53 @@
"T_freeze": {
"coeffs": [
[
5.611339359e+00,
-5.447346572e-02,
-3.086401558e-01,
3.437472159e-01,
-2.043835878e-01,
4.414577340e-03
5.611339e+00,
-5.447347e-02,
-3.086402e-01,
3.437472e-01,
-2.043836e-01,
4.414577e-03
]
],
"type": "exppolynomial"
},
"Tbase": 0.000000000e+00,
"Tmax": 3.231500000e+02,
"Tmin": 2.331500000e+02,
"TminPsat": 3.231500000e+02,
"Tbase": 0.000000e+00,
"Tmax": 3.231500e+02,
"Tmin": 2.331500e+02,
"TminPsat": 3.231500e+02,
"conductivity": {
"coeffs": [
[
5.162231290e-01,
-1.568203267e+00,
4.324693314e+00,
-4.673080770e+00,
1.814473458e+00,
-2.691980111e-01
5.162231e-01,
-1.568203e+00,
4.324693e+00,
-4.673081e+00,
1.814474e+00,
-2.691981e-01
],
[
4.765092400e-04,
2.448934699e-03,
-1.468343003e-02,
1.689155054e-02,
-3.382793004e-03,
0.000000000e+00
4.765092e-04,
2.448935e-03,
-1.468343e-02,
1.689155e-02,
-3.382793e-03,
0.000000e+00
],
[
-3.100136775e-06,
2.042795085e-05,
-4.793186112e-06,
-1.551464432e-05,
0.000000000e+00,
0.000000000e+00
-3.100137e-06,
2.042795e-05,
-4.793186e-06,
-1.551464e-05,
0.000000e+00,
0.000000e+00
],
[
1.059927343e-08,
-5.244005085e-08,
4.485477521e-08,
0.000000000e+00,
0.000000000e+00,
0.000000000e+00
1.059927e-08,
-5.244005e-08,
4.485478e-08,
0.000000e+00,
0.000000e+00,
0.000000e+00
]
],
"type": "polynomial"
@@ -56,36 +56,36 @@
"density": {
"coeffs": [
[
1.239898138e+03,
1.670948856e+03,
-1.724790709e+02,
-3.982144384e+02,
1.454871857e+02,
3.888996443e+01
1.239898e+03,
1.670949e+03,
-1.724790e+02,
-3.982146e+02,
1.454873e+02,
3.888992e+01
],
[
-2.416920469e+00,
-1.246293449e+01,
2.096143388e+00,
1.284863085e+00,
-2.620867236e-01,
0.000000000e+00
-2.416920e+00,
-1.246293e+01,
2.096144e+00,
1.284863e+00,
-2.620867e-01,
0.000000e+00
],
[
8.150832991e-03,
4.480499814e-02,
-1.062392349e-02,
-1.398866131e-03,
0.000000000e+00,
0.000000000e+00
8.150833e-03,
4.480500e-02,
-1.062392e-02,
-1.398866e-03,
0.000000e+00,
0.000000e+00
],
[
-1.006985382e-05,
-5.438966614e-05,
1.524249139e-05,
0.000000000e+00,
0.000000000e+00,
0.000000000e+00
-1.006985e-05,
-5.438967e-05,
1.524249e-05,
0.000000e+00,
0.000000e+00,
0.000000e+00
]
],
"type": "polynomial"
@@ -94,36 +94,36 @@
"mass2input": {
"coeffs": [
[
0.000000000e+00,
0.000000000e+00,
0.000000000e+00,
0.000000000e+00,
0.000000000e+00,
0.000000000e+00
0.000000e+00,
0.000000e+00,
0.000000e+00,
0.000000e+00,
0.000000e+00,
0.000000e+00
],
[
0.000000000e+00,
0.000000000e+00,
0.000000000e+00,
0.000000000e+00,
0.000000000e+00,
0.000000000e+00
0.000000e+00,
0.000000e+00,
0.000000e+00,
0.000000e+00,
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266
dev/incompressible_liquids/json/AL.json
View File

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266
dev/incompressible_liquids/json/AN.json
View File

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230
dev/incompressible_liquids/json/APG.json
View File

@@ -2,53 +2,53 @@
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40
dev/incompressible_liquids/json/AS10.json
View File

@@ -3,17 +3,17 @@
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40
dev/incompressible_liquids/json/AS20.json
View File

@@ -3,17 +3,17 @@
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@@ -67,16 +67,16 @@
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40
dev/incompressible_liquids/json/AS30.json
View File

@@ -3,17 +3,17 @@
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40
dev/incompressible_liquids/json/AS40.json
View File

@@ -3,17 +3,17 @@
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42
dev/incompressible_liquids/json/AS55.json
View File

@@ -3,20 +3,20 @@
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32
dev/incompressible_liquids/json/DEB.json
View File

@@ -3,17 +3,17 @@
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@@ -47,10 +47,10 @@
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50
dev/incompressible_liquids/json/DowJ.json
View File

@@ -3,23 +3,23 @@
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],
"type": "polynomial"
@@ -54,34 +54,34 @@
"reference": "Dow Chemicals data sheet",
"saturation_pressure": {
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],
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},
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],
[
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[
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"viscosity": {
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],
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},
@@ -89,8 +89,8 @@
"coeffs": "null",
"type": "notdefined"
},
"xbase": 0.000000000e+00,
"xbase": 0.000000e+00,
"xid": "pure",
"xmax": 1.000000000e+00,
"xmin": 0.000000000e+00
"xmax": 1.000000e+00,
"xmin": 0.000000e+00
}

44
dev/incompressible_liquids/json/DowJ2.json
View File

@@ -3,23 +3,23 @@
"coeffs": "null",
"type": "notdefined"
},
"Tbase": 0.000000000e+00,
"Tmax": 5.881500000e+02,
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@@ -27,16 +27,16 @@
"density": {
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@@ -59,25 +59,25 @@
"specific_heat": {
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[
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},
@@ -85,8 +85,8 @@
"coeffs": "null",
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},
"xbase": 0.000000000e+00,
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"xmin": 0.000000000e+00
"xmax": 0.000000e+00,
"xmin": 0.000000e+00
}

50
dev/incompressible_liquids/json/DowQ.json
View File

@@ -3,23 +3,23 @@
"coeffs": "null",
"type": "notdefined"
},
"Tbase": 0.000000000e+00,
"Tmax": 6.331500000e+02,
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@@ -27,16 +27,16 @@
"density": {
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@@ -54,34 +54,34 @@
"reference": "Dow Chemicals data sheet",
"saturation_pressure": {
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},
@@ -89,8 +89,8 @@
"coeffs": "null",
"type": "notdefined"
},
"xbase": 0.000000000e+00,
"xbase": 0.000000e+00,
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"xmax": 1.000000000e+00,
"xmin": 0.000000000e+00
"xmax": 1.000000e+00,
"xmin": 0.000000e+00
}

44
dev/incompressible_liquids/json/DowQ2.json
View File

@@ -3,23 +3,23 @@
"coeffs": "null",
"type": "notdefined"
},
"Tbase": 0.000000000e+00,
"Tmax": 6.031500000e+02,
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@@ -27,16 +27,16 @@
"density": {
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[
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@@ -59,25 +59,25 @@
"specific_heat": {
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[
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],
[
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},
@@ -85,8 +85,8 @@
"coeffs": "null",
"type": "notdefined"
},
"xbase": 0.000000000e+00,
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"xmax": 0.000000000e+00,
"xmin": 0.000000000e+00
"xmax": 0.000000e+00,
"xmin": 0.000000e+00
}

260
dev/incompressible_liquids/json/ExampleDigital.json
View File

@@ -1,49 +1,49 @@
{
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@@ -51,36 +51,36 @@
"density": {
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@@ -99,36 +99,36 @@
"saturation_pressure": {
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@@ -136,36 +136,36 @@
"specific_heat": {
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@@ -173,36 +173,36 @@
"viscosity": {
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@@ -211,8 +211,8 @@
"coeffs": "null",
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},
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"xid": "mass",
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"xmax": 1.000000e+00,
"xmin": 0.000000e+00
}

50
dev/incompressible_liquids/json/ExampleDigitalPure.json
View File

@@ -3,23 +3,23 @@
"coeffs": "null",
"type": "notdefined"
},
"Tbase": 0.000000000e+00,
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@@ -27,16 +27,16 @@
"density": {
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@@ -54,34 +54,34 @@
"reference": "none",
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@@ -89,8 +89,8 @@
"coeffs": "null",
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}

218
dev/incompressible_liquids/json/ExampleMelinder.json
View File

@@ -2,53 +2,53 @@
"T_freeze": {
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@@ -56,36 +56,36 @@
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50
dev/incompressible_liquids/json/ExamplePure.json
View File

@@ -3,23 +3,23 @@
"coeffs": "null",
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216
dev/incompressible_liquids/json/ExampleSecCool.json
View File

@@ -1,51 +1,51 @@
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260
dev/incompressible_liquids/json/ExampleSolution.json
View File

@@ -1,49 +1,49 @@
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142
dev/incompressible_liquids/json/FRE.json
View File

@@ -2,29 +2,29 @@
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230
dev/incompressible_liquids/json/GKN.json
View File

@@ -2,53 +2,53 @@
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52
dev/incompressible_liquids/json/HC10.json
View File

@@ -3,23 +3,23 @@
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52
dev/incompressible_liquids/json/HC20.json
View File

@@ -3,23 +3,23 @@
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52
dev/incompressible_liquids/json/HC30.json
View File

@@ -3,23 +3,23 @@
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}

52
dev/incompressible_liquids/json/HC40.json
View File

@@ -3,23 +3,23 @@
"coeffs": "null",
"type": "notdefined"
},
"Tbase": 0.000000000e+00,
"Tmax": 4.731500000e+02,
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"conductivity": {
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],
[
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],
"type": "polynomial"
@@ -27,16 +27,16 @@
"density": {
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],
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@@ -55,16 +55,16 @@
"saturation_pressure": {
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[
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"type": "exppolynomial"
@@ -72,25 +72,25 @@
"specific_heat": {
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[
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],
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@@ -98,8 +98,8 @@
"coeffs": "null",
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"xmax": 1.000000e+00,
"xmin": 0.000000e+00
}

52
dev/incompressible_liquids/json/HC50.json
View File

@@ -3,23 +3,23 @@
"coeffs": "null",
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},
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@@ -27,16 +27,16 @@
"density": {
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@@ -55,16 +55,16 @@
"saturation_pressure": {
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@@ -72,25 +72,25 @@
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@@ -98,8 +98,8 @@
"coeffs": "null",
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"xmax": 1.000000e+00,
"xmin": 0.000000e+00
}

32
dev/incompressible_liquids/json/HCB.json
View File

@@ -3,17 +3,17 @@
"coeffs": "null",
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},
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@@ -21,10 +21,10 @@
"density": {
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@@ -47,10 +47,10 @@
"specific_heat": {
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@@ -58,13 +58,13 @@
"viscosity": {
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@@ -73,8 +73,8 @@
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"xmin": 0.000000e+00
}

32
dev/incompressible_liquids/json/HCM.json
View File

@@ -3,17 +3,17 @@
"coeffs": "null",
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},
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@@ -21,10 +21,10 @@
"density": {
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@@ -47,10 +47,10 @@
"specific_heat": {
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@@ -58,13 +58,13 @@
"viscosity": {
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@@ -73,8 +73,8 @@
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}

32
dev/incompressible_liquids/json/HFE.json
View File

@@ -3,17 +3,17 @@
"coeffs": "null",
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},
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@@ -21,10 +21,10 @@
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@@ -47,10 +47,10 @@
"specific_heat": {
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@@ -58,13 +58,13 @@
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@@ -73,8 +73,8 @@
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}

44
dev/incompressible_liquids/json/HFE2.json
View File

@@ -3,23 +3,23 @@
"coeffs": "null",
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},
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@@ -27,16 +27,16 @@
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@@ -59,25 +59,25 @@
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@@ -85,8 +85,8 @@
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42
dev/incompressible_liquids/json/HY20.json
View File

@@ -3,23 +3,23 @@
"coeffs": "null",
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},
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@@ -27,10 +27,10 @@
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@@ -48,28 +48,28 @@
"reference": "Hydro Chemicals",
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@@ -77,8 +77,8 @@
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42
dev/incompressible_liquids/json/HY30.json
View File

@@ -3,23 +3,23 @@
"coeffs": "null",
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},
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@@ -27,10 +27,10 @@
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@@ -48,28 +48,28 @@
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@@ -77,8 +77,8 @@
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38
dev/incompressible_liquids/json/HY40.json
View File

@@ -3,17 +3,17 @@
"coeffs": "null",
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@@ -21,10 +21,10 @@
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@@ -42,28 +42,28 @@
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@@ -71,8 +71,8 @@
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38
dev/incompressible_liquids/json/HY45.json
View File

@@ -3,17 +3,17 @@
"coeffs": "null",
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@@ -21,10 +21,10 @@
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@@ -42,28 +42,28 @@
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@@ -71,8 +71,8 @@
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38
dev/incompressible_liquids/json/HY50.json
View File

@@ -3,17 +3,17 @@
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206
dev/incompressible_liquids/json/IceEA.json
View File

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206
dev/incompressible_liquids/json/IceNA.json
View File

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206
dev/incompressible_liquids/json/IcePG.json
View File

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260
dev/incompressible_liquids/json/LiBr.json
View File

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218
dev/incompressible_liquids/json/MAM.json
View File

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228
dev/incompressible_liquids/json/MAM2.json
View File

@@ -1,45 +1,45 @@
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218
dev/incompressible_liquids/json/MCA.json
View File

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260
dev/incompressible_liquids/json/MCA2.json
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218
dev/incompressible_liquids/json/MEA.json
View File

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dev/incompressible_liquids/json/MEA2.json
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218
dev/incompressible_liquids/json/MEG.json
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266
dev/incompressible_liquids/json/MEG2.json
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218
dev/incompressible_liquids/json/MGL.json
View File

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260
dev/incompressible_liquids/json/MGL2.json
View File

@@ -1,49 +1,49 @@
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218
dev/incompressible_liquids/json/MKA.json
View File

@@ -2,53 +2,53 @@
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260
dev/incompressible_liquids/json/MKA2.json
View File

@@ -1,49 +1,49 @@
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218
dev/incompressible_liquids/json/MKC.json
View File

@@ -2,53 +2,53 @@
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260
dev/incompressible_liquids/json/MKC2.json
View File

@@ -1,49 +1,49 @@
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218
dev/incompressible_liquids/json/MKF.json
View File

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218
dev/incompressible_liquids/json/MLI.json
View File

@@ -2,53 +2,53 @@
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218
dev/incompressible_liquids/json/MMA.json
View File

@@ -2,53 +2,53 @@
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260
dev/incompressible_liquids/json/MMA2.json
View File

@@ -1,49 +1,49 @@
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218
dev/incompressible_liquids/json/MMG.json
View File

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260
dev/incompressible_liquids/json/MMG2.json
View File

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218
dev/incompressible_liquids/json/MNA.json
View File

@@ -2,53 +2,53 @@
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260
dev/incompressible_liquids/json/MNA2.json
View File

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218
dev/incompressible_liquids/json/MPG.json
View File

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260
dev/incompressible_liquids/json/MPG2.json
View File

@@ -1,49 +1,49 @@
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44
dev/incompressible_liquids/json/NBS.json
View File

@@ -3,23 +3,23 @@
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34
dev/incompressible_liquids/json/NaK.json
View File

@@ -3,17 +3,17 @@
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44
dev/incompressible_liquids/json/PCL.json
View File

@@ -3,23 +3,23 @@
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230
dev/incompressible_liquids/json/PK2.json
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230
dev/incompressible_liquids/json/PKL.json
View File

@@ -2,53 +2,53 @@
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32
dev/incompressible_liquids/json/PMS1.json
View File

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@@ -47,10 +47,10 @@
"specific_heat": {
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[
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],
[
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],
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@@ -58,13 +58,13 @@
"viscosity": {
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"type": "exppolynomial"
@@ -73,8 +73,8 @@
"coeffs": "null",
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},
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"xmax": 1.000000e+00,
"xmin": 0.000000e+00
}

32
dev/incompressible_liquids/json/PMS2.json
View File

@@ -3,17 +3,17 @@
"coeffs": "null",
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},
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@@ -21,10 +21,10 @@
"density": {
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@@ -47,10 +47,10 @@
"specific_heat": {
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],
[
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@@ -58,13 +58,13 @@
"viscosity": {
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@@ -73,8 +73,8 @@
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}

44
dev/incompressible_liquids/json/PNF.json
View File

@@ -3,23 +3,23 @@
"coeffs": "null",
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},
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@@ -27,16 +27,16 @@
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@@ -59,25 +59,25 @@
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@@ -85,8 +85,8 @@
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}

32
dev/incompressible_liquids/json/SAB.json
View File

@@ -3,17 +3,17 @@
"coeffs": "null",
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},
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@@ -21,10 +21,10 @@
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@@ -47,10 +47,10 @@
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@@ -58,13 +58,13 @@
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@@ -73,8 +73,8 @@
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}

50
dev/incompressible_liquids/json/T66.json
View File

@@ -3,23 +3,23 @@
"coeffs": "null",
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},
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@@ -27,16 +27,16 @@
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@@ -54,34 +54,34 @@
"reference": "Therminol Heat Transfer Reference Disk",
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@@ -89,8 +89,8 @@
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}

52
dev/incompressible_liquids/json/T72.json
View File

@@ -3,23 +3,23 @@
"coeffs": "null",
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},
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@@ -27,16 +27,16 @@
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@@ -55,16 +55,16 @@
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@@ -72,25 +72,25 @@
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@@ -98,8 +98,8 @@
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}

32
dev/incompressible_liquids/json/TCO.json
View File

@@ -3,17 +3,17 @@
"coeffs": "null",
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@@ -21,10 +21,10 @@
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@@ -47,10 +47,10 @@
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@@ -58,13 +58,13 @@
"viscosity": {
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@@ -73,8 +73,8 @@
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50
dev/incompressible_liquids/json/TD12.json
View File

@@ -3,23 +3,23 @@
"coeffs": "null",
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@@ -27,16 +27,16 @@
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@@ -54,34 +54,34 @@
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@@ -89,8 +89,8 @@
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50
dev/incompressible_liquids/json/TVP1.json
View File

@@ -3,23 +3,23 @@
"coeffs": "null",
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@@ -27,16 +27,16 @@
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@@ -54,34 +54,34 @@
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@@ -89,8 +89,8 @@
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34
dev/incompressible_liquids/json/TVP1869.json
View File

@@ -3,17 +3,17 @@
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@@ -21,10 +21,10 @@
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@@ -47,10 +47,10 @@
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@@ -58,16 +58,16 @@
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@@ -76,8 +76,8 @@
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50
dev/incompressible_liquids/json/TX22.json
View File

@@ -3,23 +3,23 @@
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44
dev/incompressible_liquids/json/TY10.json
View File

@@ -3,23 +3,23 @@
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44
dev/incompressible_liquids/json/TY15.json
View File

@@ -3,23 +3,23 @@
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44
dev/incompressible_liquids/json/TY20.json
View File

@@ -3,23 +3,23 @@
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44
dev/incompressible_liquids/json/TY24.json
View File

@@ -3,23 +3,23 @@
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228
dev/incompressible_liquids/json/VCA.json
View File

@@ -1,45 +1,45 @@
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260
dev/incompressible_liquids/json/VKC.json
View File

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228
dev/incompressible_liquids/json/VMG.json
View File

@@ -1,45 +1,45 @@
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260
dev/incompressible_liquids/json/VNA.json
View File

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@@ -51,36 +51,36 @@
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@@ -103,36 +103,36 @@
"specific_heat": {
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@@ -140,36 +140,36 @@
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@@ -177,42 +177,42 @@
"volume2input": {
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}

50
dev/incompressible_liquids/json/XLT.json
View File

@@ -3,23 +3,23 @@
"coeffs": "null",
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},
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@@ -27,16 +27,16 @@
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@@ -54,34 +54,34 @@
"reference": "Dow Chemicals data sheet",
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@@ -89,8 +89,8 @@
"coeffs": "null",
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}

44
dev/incompressible_liquids/json/XLT2.json
View File

@@ -3,23 +3,23 @@
"coeffs": "null",
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@@ -27,16 +27,16 @@
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@@ -59,25 +59,25 @@
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@@ -85,8 +85,8 @@
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}

Some files were not shown because too many files have changed in this diff Show More