class SolutionData(object):
"""
A base class that defines all the variables needed
in order to make a proper fit. You can copy this code
put in your data and add some documentation for where the
information came from.
"""
ifrac_mass = "mass"
ifrac_mole = "mole"
ifrac_volume = "volume"
ifrac_undefined = "not defined"
ifrac_pure = "pure"
def __init__(self):
self.significantDigits = 7
self.name = None # Name of the current fluid
self.description = None # Description of the current fluid
self.reference = None # Reference data for the current fluid
self.Tmax = None # Maximum temperature in K
self.Tmin = None # Minimum temperature in K
self.xmax = 1.0 # Maximum concentration
self.xmin = 0.0 # Minimum concentration
self.xid = self.ifrac_undefined # Concentration is mole, mass or volume-based
self.TminPsat = None # Minimum saturation temperature in K
self.Tbase = None # Base value for temperature fits
self.xbase = None # Base value for concentration fits
self.temperature = IncompressibleData() # Temperature for data points in K
self.concentration = IncompressibleData() # Concentration data points in weight fraction
self.density = IncompressibleData() # Density in kg/m3
self.specific_heat = IncompressibleData() # Heat capacity in J/(kg.K)
self.viscosity = IncompressibleData() # Dynamic viscosity in Pa.s
self.conductivity = IncompressibleData() # Thermal conductivity in W/(m.K)
self.saturation_pressure = IncompressibleData() # Saturation pressure in Pa
self.T_freeze = IncompressibleData() # Freezing temperature in K
self.mass2input = IncompressibleData() # dd
self.volume2input = IncompressibleData() # dd
self.mole2input = IncompressibleData() # dd
## Some of the functions might need a guess array
#self.viscosity.type = self.viscosity.INCOMPRESSIBLE_EXPONENTIAL
#self.viscosity.coeffs = np.array([+7e+2, -6e+1, +1e+1])
#self.saturation_pressure.type = self.saturation_pressure.INCOMPRESSIBLE_EXPONENTIAL
#self.saturation_pressure.coeffs = np.array([-5e+3, +3e+1, -1e+1])
self.xref = 0.0
self.Tref = 0.0
self.pref = 0.0
self.href = 0.0
self.sref = 0.0
self.uref = 0.0
self.rhoref = 0.0
# def getDataObjects(self):
# objList = {}
# objList["temperature"] = self.temperature
# objList["concentration"] = self.concentration
# objList["density"] = self.density
# objList["specific_heat"] = self.specific_heat
# objList["viscosity"] = self.viscosity
# objList["conductivity"] = self.conductivity
# objList["saturation_pressure"] = self.saturation_pressure
# objList["T_freeze"] = self.T_freeze
# objList["volume2mass"] = self.volume2mass
# objList["mass2mole"] = self.mass2mole
# return objList
def roundSingle(self,x):
if x==0.0: return 0.0
return round(x, self.significantDigits-int(math.floor(math.log10(abs(x))))-1)
def round(self, x):
r,c,res = IncompressibleFitter.shapeArray(x)
#digits = -1*np.floor(np.log10(res))+self.significantDigits-1
for i in range(r):
for j in range(c):
if np.isfinite(res[i,j]):
res[i,j] = self.roundSingle(res[i,j])
return res
# def getPolyObjects(self):
# objList = {}
# objList["density"] = self.density
# objList["specific heat"] = self.specific_heat
## objList["viscosity"] = self.viscosity
# objList["conductivity"] = self.conductivity
## objList["saturation_pressure"] = self.saturation_pressure
## objList["T_freeze"] = self.T_freeze
## objList["volume2mass"] = self.volume2mass
## objList["mass2mole"] = self.mass2mole
# return objList
#
# def getExpPolyObjects(self):
# objList = {}
# objList["viscosity"] = self.viscosity
# objList["saturation pressure"] = self.saturation_pressure
# return objList
def checkT(self, T, p, x):
if self.Tmin <= 0.: raise ValueError("Please specify the minimum temperature.")
if self.Tmax <= 0.: raise ValueError("Please specify the maximum temperature.");
if ((self.Tmin > T) or (T > self.Tmax)): raise ValueError("Your temperature {0} is not between {1} and {2}.".format(T, self.Tmin, self.Tmax))
TF = 0.0
if (self.T_freeze.type!=IncompressibleData.INCOMPRESSIBLE_NOT_SET): TF = self.Tfreeze(T, p, x)
if ( T<TF ): raise ValueError("Your temperature {0} is below the freezing point of {1}.".format(T, TF))
else: return True
return False
def checkP(self, T, p, x):
ps = 0.0
if (self.saturation_pressure.type!=IncompressibleData.INCOMPRESSIBLE_NOT_SET): ps = self.psat(T, p, x)
if (p < 0.0): raise ValueError("You cannot use negative pressures: {0} < {1}. ".format(p, 0.0))
if (p < ps) : raise ValueError("Equations are valid for liquid phase only: {0} < {1}. ".format(p, ps))
else : return True
return False
def checkX(self, x):
if (self.xmin < 0.0 or self.xmin > 1.0): raise ValueError("Please specify the minimum concentration between 0 and 1.");
if (self.xmax < 0.0 or self.xmax > 1.0): raise ValueError("Please specify the maximum concentration between 0 and 1.");
if ((self.xmin > x) or (x > self.xmax)): raise ValueError("Your composition {0} is not between {1} and {2}.".format(x, self.xmin, self.xmax))
else: return True
return False
def checkTPX(self, T, p, x):
try:
return (self.checkT(T,p,x) and self.checkP(T,p,x) and self.checkX(x))
except ValueError as ve:
#print("Check failed: {0}".format(ve))
pass
return False
def rho (self, T, p=0.0, x=0.0, c=None):
if not self.checkTPX(T, p, x): return np.NAN
if c is None:
c=self.density.coeffs
if self.density.type==self.density.INCOMPRESSIBLE_POLYNOMIAL:
return np.polynomial.polynomial.polyval2d(T-self.Tbase, x-self.xbase, c)
else: raise ValueError("Unknown function.")
def c (self, T, p=0.0, x=0.0, c=None):
if not self.checkTPX(T, p, x): return np.NAN
if c is None:
c = self.specific_heat.coeffs
if self.specific_heat.type==self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL:
return np.polynomial.polynomial.polyval2d(T-self.Tbase, x-self.xbase, c)
else: raise ValueError("Unknown function.")
def cp (self, T, p=0.0, x=0.0, c=None):
return self.c(T,p,x,c)
def cv (self, T, p=0.0, x=0.0, c=None):
return self.c(T,p,x,c)
def u (self, T, p=0.0, x=0.0, c=None):
if not self.checkTPX(T, p, x): return np.NAN
if c is None:
c = self.specific_heat.coeffs
if self.specific_heat.type==self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL:
c_tmp = np.polynomial.polynomial.polyint(c)
return np.polynomial.polynomial.polyval2d(T-self.Tbase, x-self.xbase, c_tmp)
else: raise ValueError("Unknown function.")
#def u (T, p, x);
def h (self, T, p=0.0, x=0.0):
return self.h_u(T,p,x)
def visc(self, T, p=0.0, x=0.0, c=None):
if not self.checkTPX(T, p, x): return np.NAN
return self.viscosity.baseFunction(T, x, self.Tbase, self.xbase, c=c)
def cond(self, T, p=0.0, x=0.0, c=None):
if not self.checkTPX(T, p, x): return np.NAN
return self.conductivity.baseFunction(T, x, self.Tbase, self.xbase, c=c)
def psat(self, T, p=0.0, x=0.0, c=None):
if (T<=self.TminPsat): return 0.0
return self.saturation_pressure.baseFunction(T, x, self.Tbase, self.xbase, c=c)
def Tfreeze(self, T, p=0.0, x=0.0, c=None):
if c is None:
c = self.T_freeze.coeffs
if self.T_freeze.type==self.T_freeze.INCOMPRESSIBLE_POLYNOMIAL:
return np.polynomial.polynomial.polyval2d(p-0.0, x-self.xbase, c)
elif self.T_freeze.type==self.T_freeze.INCOMPRESSIBLE_POLYOFFSET:
#if y!=0.0: raise ValueError("This is 1D only, use x not y.")
return self.T_freeze.basePolyOffset(c, x) # offset included in coeffs
elif self.T_freeze.type==self.T_freeze.INCOMPRESSIBLE_EXPONENTIAL:
#if y!=0.0: raise ValueError("This is 1D only, use x not y.")
return self.T_freeze.baseExponential(c, x)
elif self.T_freeze.type==IncompressibleData.INCOMPRESSIBLE_LOGEXPONENTIAL:
#if y!=0.0: raise ValueError("This is 1D only, use x not y.")
return self.T_freeze.baseLogexponential(c, x)
elif self.T_freeze.type==self.T_freeze.INCOMPRESSIBLE_EXPPOLYNOMIAL:
return np.exp(np.polynomial.polynomial.polyval2d(p-0.0, x-self.xbase, c))
else:
raise ValueError("Unknown function: {0}.".format(self.T_freeze.type))
#def V2M (T, y);
#def M2M (T, x);
def h_u(self, T, p, x):
return self.u(T,p,x)+p/self.rho(T,p,x)-self.href
def u_h(self, T, p, x):
return self.h(T,p,x)-p/self.rho(T,p,x)+self.href
def set_reference_state(self, T0, p0, x0=0.0, h0=0.0, s0=0.0):
self.rhoref = self.rho(T0,p0,x0)
self.pref = p0
self.uref = h0 - p0/self.rhoref
self.uref = self.u(T0,p0,x0)
self.href = h0
self.sref = s0
self.href = self.h(T0,p0,x0)
self.sref = self.s(T0,p0,x0)
def __init__(self):
self.significantDigits = 7
self.name = None # Name of the current fluid
self.description = None # Description of the current fluid
self.reference = None # Reference data for the current fluid
self.Tmax = None # Maximum temperature in K
self.Tmin = None # Minimum temperature in K
self.xmax = 1.0 # Maximum concentration
self.xmin = 0.0 # Minimum concentration
self.xid = self.ifrac_undefined # Concentration is mole, mass or volume-based
self.TminPsat = None # Minimum saturation temperature in K
self.Tbase = None # Base value for temperature fits
self.xbase = None # Base value for concentration fits
self.temperature = IncompressibleData() # Temperature for data points in K
self.concentration = IncompressibleData() # Concentration data points in weight fraction
self.density = IncompressibleData() # Density in kg/m3
self.specific_heat = IncompressibleData() # Heat capacity in J/(kg.K)
self.viscosity = IncompressibleData() # Dynamic viscosity in Pa.s
self.conductivity = IncompressibleData() # Thermal conductivity in W/(m.K)
self.saturation_pressure = IncompressibleData() # Saturation pressure in Pa
self.T_freeze = IncompressibleData() # Freezing temperature in K
self.mass2input = IncompressibleData() # dd
self.volume2input = IncompressibleData() # dd
self.mole2input = IncompressibleData() # dd
## Some of the functions might need a guess array
#self.viscosity.type = self.viscosity.INCOMPRESSIBLE_EXPONENTIAL
#self.viscosity.coeffs = np.array([+7e+2, -6e+1, +1e+1])
#self.saturation_pressure.type = self.saturation_pressure.INCOMPRESSIBLE_EXPONENTIAL
#self.saturation_pressure.coeffs = np.array([-5e+3, +3e+1, -1e+1])
self.xref = 0.0
self.Tref = 0.0
self.pref = 0.0
self.href = 0.0
self.sref = 0.0
self.uref = 0.0
self.rhoref = 0.0
