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42 lines
1.3 KiB
Python
42 lines
1.3 KiB
Python
import matplotlib.pyplot as plt
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import CoolProp.CoolProp as CP
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import itertools, numpy as np
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variables = ['T','P','H','S','U','D']
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for fluid in ['Water','CO2','n-Propane','MDM']:
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T = np.linspace(CP.PropsSI(fluid,'Tmin'),CP.PropsSI(fluid,'T_critical')-1e-5,1000)
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fig = plt.figure(1, figsize=(10, 10), dpi=100)
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for i, types in enumerate(itertools.combinations(variables,2)):
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ax = plt.subplot(5, 3, i+1)
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types = list(types)
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if types[0] in ['T','P'] and types != ['T','P']:
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types[0],types[1] = types[1],types[0]
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xL = CP.PropsSI(types[0],'T',T,'Q',0,fluid)
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yL = CP.PropsSI(types[1],'T',T,'Q',0,fluid)
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xV = CP.PropsSI(types[0],'T',T,'Q',1,fluid)
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yV = CP.PropsSI(types[1],'T',T,'Q',1,fluid)
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Tc = CP.PropsSI(fluid, 'T_critical')
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xc = CP.PropsSI(types[0],'T',Tc-1e-6,'Q',1,fluid)
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yc = CP.PropsSI(types[1],'T',Tc-1e-6,'Q',1,fluid)
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ax.plot(xL,yL,'k')
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ax.plot(xV,yV,'k')
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ax.plot(xc,yc,'o')
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if types[0] in ['P','D']:
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ax.set_xscale('log')
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if types[1] in ['P','D']:
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ax.set_yscale('log')
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plt.title(' '.join(types))
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plt.xlabel(types[0])
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plt.ylabel(types[1])
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plt.tight_layout()
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plt.savefig('AllFlash'+fluid+'.pdf')
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plt.show() |