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32 lines
1.1 KiB
Python
32 lines
1.1 KiB
Python
from CoolProp import CoolProp as CP
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from PDSim.misc.datatypes import Collector
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import numpy as np
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from mpl_toolkits.mplot3d import Axes3D
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import matplotlib.pyplot as plt
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fluid = 'R245fa'
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Ttriple = CP.Props(fluid, 'Ttriple')
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Tcrit = CP.Props(fluid, 'Tcrit')
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RHO, TTT, RHO0, TTT0, ERR = Collector(), Collector(), Collector(), Collector(), Collector()
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rhomax = CP.Props('D', 'T', Ttriple, 'Q', 0, 'R245fa')
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# Build a database of "experimental" data
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for T in np.linspace(Ttriple, Tcrit + 50, 80):
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for rho in np.linspace(1e-10, rhomax, 80):
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if (T > Tcrit or rho > CP.rhosatL_anc(fluid, T) or rho < CP.rhosatV_anc(fluid, T)):
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h = CP.Props('H', 'T', T, 'D', rho, 'R245fa')
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p = CP.Props('P', 'T', T, 'D', rho, 'R245fa')
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RHO << rho
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TTT << T
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ERR << h
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TTT0 << p
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fig = plt.figure()
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ax1 = fig.add_subplot(121, projection='3d')
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ax1.scatter(np.array(RHO.vec), np.array(TTT.vec), ERR.vec)
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ax2 = fig.add_subplot(122, projection='3d')
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ax2.scatter(np.array(RHO.vec), np.array(TTT.vec), TTT0.vec)
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plt.show()
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