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74 lines
2.5 KiB
Python
74 lines
2.5 KiB
Python
from CoolProp.Plots.Plots import hs
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import CoolProp
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from CoolProp.CoolProp import Props
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import matplotlib.pyplot as plt
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import numpy as np
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Fluid = 'Nitrogen'
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fig = plt.figure()
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ax = fig.add_subplot(111)
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for Fluid in CoolProp.__fluids__:
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if Fluid == 'SES36':
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continue
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ax.cla()
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h_crit = Props('H', 'T', Props(Fluid, "Tcrit"), 'D', Props(Fluid, "rhocrit"), Fluid)
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s_crit = Props('S', 'T', Props(Fluid, "Tcrit"), 'D', Props(Fluid, "rhocrit"), Fluid)
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hL_Tmin = Props('H', 'T', Props(Fluid, "Tmin"), 'Q', 0, Fluid)
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hV_Tmin = Props('H', 'T', Props(Fluid, "Tmin"), 'Q', 1, Fluid)
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sL_Tmin = Props('S', 'T', Props(Fluid, "Tmin"), 'Q', 0, Fluid)
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sV_Tmin = Props('S', 'T', Props(Fluid, "Tmin"), 'Q', 1, Fluid)
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hs(Fluid, axis=ax)
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plt.plot(s_crit, h_crit, 'rd')
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plt.plot([sL_Tmin, sV_Tmin], [hL_Tmin, hV_Tmin], '--')
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plt.gca().axhline(h_crit)
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plt.gca().axhline(hV_Tmin)
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# Two-Phase
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for T in np.linspace(Props(Fluid, "Tmin") + 0.1, Props(Fluid, "Tcrit") - 1e-3, 30):
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for Q in np.linspace(0, 1, 30):
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try:
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h = Props("H", 'Q', Q, 'T', T, Fluid)
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s = Props("S", 'Q', Q, 'T', T, Fluid)
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T = Props("T", 'S', s, 'H', h, Fluid)
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# ax.plot(s,h,'o',mfc='none')
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except ValueError as VE:
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print(T, Q, '|||', '"T","S",', s, ',"H",', h, ',"' + Fluid + '"', '|||', VE)
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ax.plot(s, h, 'o', mfc='none')
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for h in np.linspace(hL_Tmin, hV_Tmin + 1500, 100):
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for s in np.linspace(sL_Tmin + 0.01, sV_Tmin, 100):
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try:
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h_pmax = Props('H', 'S', s, 'P', 6 * Props(Fluid, 'pcrit'), Fluid)
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except ValueError:
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h_pmax = 0
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htriple_s = (hV_Tmin - hL_Tmin) / (sV_Tmin - sL_Tmin) * (s - sL_Tmin) + hL_Tmin
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if h < htriple_s or h > h_pmax: continue
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try:
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T = Props("T", 'S', s, 'H', h, Fluid)
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# ax.plot(s,h,'o',mfc='none',ms=6)
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except ValueError:
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ax.plot(s, h, 's', mfc='none')
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# if Fluid =='Propane':
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## ps = Props("P",'T',300,'Q',0,Fluid);
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## hL = Props("H",'Q',0,'T',300,Fluid);
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## sL = Props("S",'Q',0,'T',300,Fluid);
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## h = Props("H",'P',ps,'T',299.5,Fluid);
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## s = Props("S",'P',ps,'T',299.5,Fluid);
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# print s,h,sL,hL
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# plt.plot(s,h,'o')
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# plt.plot(sL,hL,'d')
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# plt.gca().axvline(s)
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# plt.gca().axhline(268.75968916316691)
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fig.savefig('figs/' + Fluid + '.png', dpi=200)
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fig.savefig('figs/' + Fluid + '.pdf')
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