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43 lines
1.4 KiB
Python
43 lines
1.4 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()
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