def __init__(self,airfoil,flightConditions,yplus=1.0,mesh='C'):
self.af = airfoil
self.fc = flightConditions
self.paths = CFD_paths()
self._caseFilePath = self.paths.file_cas
if mesh=='C':
self.mesh = AirfoilCMesh(airfoil,dsWall=self.fc.get_wall_spacing(yplus))
elif mesh=='O':
self.mesh = AirfoilOMesh(airfoil,dsWall=self.fc.get_wall_spacing(yplus))
self.fluent = FluentAirfoil()
self.fluent._meshtype = mesh
class CFDsolver():
def __init__(self,airfoil,flightConditions,yplus=1.0,mesh='C'):
self.af = airfoil
self.fc = flightConditions
self.paths = CFD_paths()
self._caseFilePath = self.paths.file_cas
if mesh=='C':
self.mesh = AirfoilCMesh(airfoil,dsWall=self.fc.get_wall_spacing(yplus))
elif mesh=='O':
self.mesh = AirfoilOMesh(airfoil,dsWall=self.fc.get_wall_spacing(yplus))
self.fluent = FluentAirfoil()
self.fluent._meshtype = mesh
def create_mesh(self,reverse=False):
self.mesh.create(self.paths.file_glf,self._caseFilePath)
def run_for_multiple_aoa(self,alphaSequence=arange(-5,20,3),
turbulenceModel='SA',Cp=False,iterMax=5000,densityBased=False):
"""
Run fluent at sequence of angle of attacks
Parameters
----------
alphaSequence : array, deg
array of angles of attack
turbulenceModel : string
fluent turbulence model. Two options are available: 'SA' and
'ke-realizable'
Cp : bool
This option is not available yet.
iterMax : int
maximum number of iterations
"""
result = AirfoilPolar1D()
for i,alpha in enumerate(alphaSequence):
result1 = self.fluent.run_at_aoa(alpha,self.fc,self._caseFilePath,turbulenceModel,Cp,iterMax,densityBased)
result.alpha.append(result1.alpha)
result.cl.append(result1.cl)
result.cd.append(result1.cd)
result.cm.append(result1.cm)
result.LD.append(result1.LD)
return result
def run_for_single_aoa(self,alpha=0.0,turbulenceModel='SA',Cp=False,iterMax=5000,densityBased=False):
"""
Run fluent at single angle of attack
Parameters
----------
alpha : float, deg
angle of attack
turbulenceModel : string
fluent turbulence model. Two options are available: 'SA' and
'ke-realizable'
Cp : bool
This option is not available yet.
iterMax : int
maximum number of iterations
"""
result = self.fluent.run_at_aoa(alpha,self.fc,self._caseFilePath,turbulenceModel,Cp,iterMax,densityBased)
return result
