Esempio n. 1
0
 def test():
     test_instance = DerivativeTest("Water")
     _drhodT_s = test_instance.numerical_derivative('rho', 
                                                  'T', 633.15,
                                                  'S', 4000)
     print ('Numerical: ' + str(_drhodT_s))
     fState = FluidState("Water")
     fState.update_Ts(633.15, 4000)
     print ('Analytical: ' + str(fState.rho**2 * fState.dsdT_v / fState.dpdT_v))
     print ('q = {}'.format(fState.q))
Esempio n. 2
0
 def test():
     test_instance = DerivativeTest("Water")
     _drhodT_s = test_instance.numerical_derivative('rho', 'T', 633.15, 'S',
                                                    4000)
     print('Numerical: ' + str(_drhodT_s))
     fState = FluidState("Water")
     fState.update_Ts(633.15, 4000)
     print('Analytical: ' +
           str(fState.rho**2 * fState.dsdT_v / fState.dpdT_v))
     print('q = {}'.format(fState.q))
Esempio n. 3
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 def plotIsentrops(self):
     fState = FluidState(self.fluid)
     sArr = np.linspace(self.sMin, self.sMax, num=20)
     for s in sArr:
         try:
             hArr = []
             pArr = []
             fState.update_ps(self.pMax, s)
             if (fState.T > self.TMax):
                 fState.update_Ts(self.TMax, s)
             T = fState.T
             hArr.append(fState.h)
             pArr.append(fState.p)
             # Calculated v
             v_res = fState.v
             while (T > self.TMin):
                 _dvdT_s = -fState.dsdT_v / fState.dpdT_v
                 if math.isnan(_dvdT_s):
                     break
                 TStep = -(self.critical.T / 200.) / (np.abs(_dvdT_s) + 1)
                 T = T + TStep
                 if T < self.TMin:
                     break
                 v_res += _dvdT_s * TStep
                 fState.update_Trho(T, 1. / v_res)
                 p = fState.p
                 # If it goes out of the screen through the bottom
                 if (p < self.pMin):
                     break
                 # Calculated s
                 s_res = fState.s
                 # Correcting v
                 ds = s - s_res
                 sigma = ds * fState.dvds_T
                 v = v_res + sigma
                 fState.update_Trho(T, 1. / v)
                 hArr.append(fState.h)
                 pArr.append(fState.p)
                 ##################
                 # Putting labels
                 i = len(hArr) - 1
                 b = np.log10(self.pMax /
                              1e5) - self.majDiagonalSlope * self.hMin / 1e3
                 if (np.log10(pArr[i-1] / 1e5) - self.majDiagonalSlope * hArr[i-1] / 1e3 - b) * \
                  (np.log10(pArr[i] / 1e5) - self.majDiagonalSlope * hArr[i] / 1e3 - b) <= 0:
                     angle, offset_x, offset_y = self.getLabelPlacement(
                         x1=hArr[i - 1],
                         x2=hArr[i],
                         y1=pArr[i - 1],
                         y2=pArr[i])
                     self.ax.annotate(formatNumber(s / 1e3, sig=3),
                                      xy=(hArr[i - 1] / 1e3,
                                          pArr[i - 1] / 1e5),
                                      xytext=(-offset_x, -offset_y),
                                      textcoords='offset points',
                                      color='m',
                                      size="small",
                                      rotation=angle)
                 #######################
             hArr = np.array(hArr)
             pArr = np.array(pArr)
             if (s == sArr[0]):
                 self.ax.semilogy(hArr / 1e3,
                                  pArr / 1e5,
                                  'm',
                                  label="entropy [kJ/kg-K]")
             else:
                 self.ax.semilogy(hArr / 1e3, pArr / 1e5, 'm')
         except RuntimeError, e:
             print '------------------'
             print 'Runtime Warning for s=%e' % s
             print e
Esempio n. 4
0
	def plotIsentrops(self):
		fState = FluidState(self.fluid)
		sArr = np.linspace(self.sMin, self.sMax, num = 20)
		for s in sArr:
			try:
				hArr = []
				pArr = []
				fState.update_ps(self.pMax, s)
				if (fState.T > self.TMax):
					fState.update_Ts(self.TMax, s)
				T = fState.T
				hArr.append(fState.h)
				pArr.append(fState.p)
				# Calculated v
				v_res = fState.v
				while (T > self.TMin):
					_dvdT_s = - fState.dsdT_v / fState.dpdT_v
					if math.isnan(_dvdT_s ):
						break
					TStep = - (self.critical.T / 200.) / (np.abs(_dvdT_s) + 1) 
					T = T + TStep
					if T < self.TMin:
						break
					v_res += _dvdT_s * TStep
					fState.update_Trho(T, 1. / v_res)
					p = fState.p
					# If it goes out of the screen through the bottom
					if (p < self.pMin):
						break
					# Calculated s
					s_res = fState.s
					# Correcting v
					ds = s - s_res
					sigma = ds * fState.dvds_T
					v = v_res + sigma
					fState.update_Trho(T, 1. / v)
					hArr.append(fState.h)
					pArr.append(fState.p)
					##################
					# Putting labels
					i = len(hArr) - 1
					b = np.log10(self.pMax / 1e5) - self.majDiagonalSlope * self.hMin / 1e3
					if (np.log10(pArr[i-1] / 1e5) - self.majDiagonalSlope * hArr[i-1] / 1e3 - b) * \
						(np.log10(pArr[i] / 1e5) - self.majDiagonalSlope * hArr[i] / 1e3 - b) <= 0:
						angle, offset_x, offset_y = self.getLabelPlacement(x1 = hArr[i-1], x2 = hArr[i],
																			y1 = pArr[i-1], y2 = pArr[i])
						self.ax.annotate(formatNumber(s/1e3, sig = 3), 
											xy = (hArr[i-1]/1e3, pArr[i-1]/1e5),
											xytext=(-offset_x, -offset_y),
											textcoords='offset points',
											color='m', size="small", rotation = angle)
					#######################
				hArr = np.array(hArr)
				pArr = np.array(pArr)
				if (s == sArr[0]):
					self.ax.semilogy(hArr/1e3, pArr/1e5, 'm', label = "entropy [kJ/kg-K]")
				else:
					self.ax.semilogy(hArr/1e3, pArr/1e5, 'm')
			except RuntimeError, e:
				print '------------------'
				print 'Runtime Warning for s=%e'%s 
				print e