本文整理汇总了Python中CPIncomp.DataObjects.PureData类的典型用法代码示例。如果您正苦于以下问题：Python PureData类的具体用法？Python PureData怎么用？Python PureData使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
在下文中一共展示了PureData类的6个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: __init__
def __init__(self):
DigitalData.__init__(self)
PureData.__init__(self)
self.name = "HY45"
self.description = "HyCool 45, Potassium formate"
self.reference = "Hydro2000"
self.Tmax = 20 + 273.15
self.Tmin = -45 + 273.15
self.TminPsat = self.Tmax
self.Tbase = 0.00 + 273.15
self.temperature.data = self.getTrange()
self.density.source = self.density.SOURCE_COEFFS
self.density.type = self.density.INCOMPRESSIBLE_POLYNOMIAL
self.density.coeffs = np.array([[1328.7],[-0.530754]])
self.specific_heat.source = self.specific_heat.SOURCE_COEFFS
self.specific_heat.type = self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL
self.specific_heat.coeffs = np.array([[2.578],[0.0023]])*1e3
self.conductivity.source = self.conductivity.SOURCE_COEFFS
self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
self.conductivity.coeffs = np.array([[0.4750],[0.001674]])
key = 'Mu'
def funcMu(T,x):
T = (T-self.Tbase)
mPas = 0.08990*np.exp(479.09/(T+126.55))
return mPas / 1e3
self.viscosity.xData,self.viscosity.yData,self.viscosity.data = self.getArray(dataID=key,func=funcMu,x_in=self.temperature.data,y_in=self.concentration.data,DEBUG=self.viscosity.DEBUG)
self.viscosity.source = self.viscosity.SOURCE_EQUATION
funcMu = None示例2: __init__
def __init__(self):
DigitalData.__init__(self)
PureData.__init__(self)
self.name = "HY50"
self.description = "HYCOOL 50, Potassium formate"
self.reference = "Hydro Chemicals"
self.Tmax = 20 + 273.15
self.Tmin = -50 + 273.15
self.TminPsat = self.Tmax
self.Tbase = 0.00 + 273.15
self.temperature.data = self.getTrange()
self.density.source = self.density.SOURCE_COEFFS
self.density.type = self.density.INCOMPRESSIBLE_POLYNOMIAL
self.density.coeffs = np.array([[1359.0],[-0.552300]])
self.specific_heat.source = self.specific_heat.SOURCE_COEFFS
self.specific_heat.type = self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL
self.specific_heat.coeffs = np.array([[2.498],[0.0023]])*1e3
self.conductivity.source = self.conductivity.SOURCE_COEFFS
self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
self.conductivity.coeffs = np.array([[0.4660],[0.001610]])
key = 'Mu'
def funcMu(T,x):
T = (T-self.Tbase)
res = 0.0491*np.exp(581.12/(T+129.05))
if T > -10: return res + 0.2
else: return res
self.viscosity.xData,self.viscosity.yData,self.viscosity.data = self.getArray(dataID=key,func=funcMu,x_in=self.temperature.data,y_in=self.concentration.data,DEBUG=self.viscosity.DEBUG)
self.viscosity.source = self.viscosity.SOURCE_EQUATION
funcMu = None示例3: __init__
def __init__(self):
CoefficientData.__init__(self)
PureData.__init__(self)
self.name = "PMS2"
self.description = "Polydimethylsiloxan 2. - Syltherm XLT Dow Corning Co."
self.reference = "Melinder-BOOK-2010"
self.Tmin = -80.0 + 273.15
self.Tmax = 100.0 + 273.15
self.TminPsat = self.Tmax
self.density.type = self.density.INCOMPRESSIBLE_POLYNOMIAL
_,_,self.density.coeffs = IncompressibleFitter.shapeArray(np.array([1155.94,-1.02576]))
self.specific_heat.type = self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL
_,_,self.specific_heat.coeffs = IncompressibleFitter.shapeArray(np.array([1153.55,2.10788]))
self.viscosity.type = self.viscosity.INCOMPRESSIBLE_EXPPOLYNOMIAL
_,_,self.viscosity.coeffs = IncompressibleFitter.shapeArray(np.array([5.66926,-0.065582,8.09988e-05]))
self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
_,_,self.conductivity.coeffs = IncompressibleFitter.shapeArray(np.array([0.000172305,-2.11212e-07]))
self.density.source = self.density.SOURCE_COEFFS
self.specific_heat.source = self.specific_heat.SOURCE_COEFFS
self.conductivity.source = self.conductivity.SOURCE_COEFFS
self.viscosity.source = self.viscosity.SOURCE_COEFFS示例4: __init__
def __init__(self):
CoefficientData.__init__(self)
PureData.__init__(self)
self.name = "NaK"
self.description = "Nitrate salt, heat transfer fluid based on 60% NaNO3 and 40% KNO3"
self.reference = "Zavoico2001"
self.Tmin = 300 + 273.15
self.Tmax = 600 + 273.15
self.TminPsat = self.Tmax
self.Tbase = 273.15
#self.temperature.data = self.getTrange()
#self.concentration.data = np.array([ 0 ]) # mass fraction
self.density.type = self.density.INCOMPRESSIBLE_POLYNOMIAL
self.density.source = self.density.SOURCE_COEFFS
self.density.coeffs = np.array([[2090],[-0.636]])
self.specific_heat.type = self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL
self.specific_heat.source = self.specific_heat.SOURCE_COEFFS
self.specific_heat.coeffs = np.array([[1443],[+0.172]])
self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
self.conductivity.source = self.conductivity.SOURCE_COEFFS
self.conductivity.coeffs = np.array([[0.443],[+1.9e-4]])
self.viscosity.type = self.viscosity.INCOMPRESSIBLE_POLYNOMIAL
self.viscosity.source = self.viscosity.SOURCE_COEFFS
self.viscosity.coeffs = np.array([[22.714],[-0.120],[2.281 * 1e-4],[-1.474 * 1e-7]])/1e3示例5: __init__
def __init__(self):
CoefficientData.__init__(self)
PureData.__init__(self)
self.name = "NaK"
self.description = "NitrateSalt"
self.reference = "Solar Power Tower Design Basis Document, Alexis B. Zavoico, Sandia Labs, USA"
self.Tmin = 300 + 273.15
self.Tmax = 600 + 273.15
self.TminPsat = self.Tmax
self.Tbase = 273.15
#self.temperature.data = self.getTrange()
#self.concentration.data = np.array([ 0 ]) # mass fraction
self.density.type = self.density.INCOMPRESSIBLE_POLYNOMIAL
self.density.source = self.density.SOURCE_COEFFS
self.density.coeffs = np.array([[2090],[-0.636]])
self.specific_heat.type = self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL
self.specific_heat.source = self.specific_heat.SOURCE_COEFFS
self.specific_heat.coeffs = np.array([[1443],[+0.172]])
self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
self.conductivity.source = self.conductivity.SOURCE_COEFFS
self.conductivity.coeffs = np.array([[0.443],[+1.9e-4]])
self.viscosity.type = self.viscosity.INCOMPRESSIBLE_POLYNOMIAL
self.viscosity.source = self.viscosity.SOURCE_COEFFS
self.viscosity.coeffs = np.array([[22.714],[-0.120],[2.281 * 1e-4],[-1.474 * 1e-7]])/1e3
示例6: __init__
def __init__(self):
DigitalData.__init__(self)
PureData.__init__(self)
self.name = "ExampleDigitalPure"
self.description = "water at 100 bar"
self.reference = "none"
self.Tmin = 280.00;
self.Tmax = 500.00;
self.TminPsat = self.Tmin;
self.temperature.data = self.getTrange()
self.concentration.data = self.getxrange()
import CoolProp.CoolProp as CP
def funcD(T,x):
return CP.PropsSI('D','T',T,'P',1e7,'water')
def funcC(T,x):
return CP.PropsSI('C','T',T,'P',1e7,'water')
def funcL(T,x):
return CP.PropsSI('L','T',T,'P',1e7,'water')
def funcV(T,x):
return CP.PropsSI('V','T',T,'P',1e7,'water')
def funcP(T,x):
return CP.PropsSI('P','T',T,'Q',0.0,'water')
self.density.xData,self.density.yData,self.density.data = self.getArray(dataID="D", func=funcD, x_in=self.temperature.data, y_in=self.concentration.data,DEBUG=self.density.DEBUG)
self.density.source = self.density.SOURCE_EQUATION
self.specific_heat.xData,self.specific_heat.yData,self.specific_heat.data = self.getArray(dataID="C", func=funcC, x_in=self.temperature.data, y_in=self.concentration.data,DEBUG=self.specific_heat.DEBUG)
self.specific_heat.source = self.specific_heat.SOURCE_EQUATION
self.conductivity.xData,self.conductivity.yData,self.conductivity.data = self.getArray(dataID="L", func=funcL, x_in=self.temperature.data, y_in=self.concentration.data,DEBUG=self.conductivity.DEBUG)
self.conductivity.source = self.conductivity.SOURCE_EQUATION
self.viscosity.xData,self.viscosity.yData,self.viscosity.data = self.getArray(dataID="V", func=funcV, x_in=self.temperature.data, y_in=self.concentration.data,DEBUG=self.viscosity.DEBUG)
self.viscosity.source = self.viscosity.SOURCE_EQUATION
self.saturation_pressure.xData,self.saturation_pressure.yData,self.saturation_pressure.data = self.getArray(dataID="P", func=funcP, x_in=self.temperature.data, y_in=self.concentration.data,DEBUG=self.saturation_pressure.DEBUG)
self.saturation_pressure.source = self.saturation_pressure.SOURCE_EQUATION