def heat_transfer_callback(self, theta):
"""
A callback used by PDSimCore.derivs to calculate the heat transfer
to the gas in the working chamber.
We return an arraym instance the same length as the number of CV in existence
More code (a proper heat transfer model) could be included here, like
in PDSim.recip.core
"""
return arraym([0.0] * self.CVs.N)
def heat_transfer_callback(self, theta):
"""
A callback used by PDSimCore.derivs to calculate the heat transfer
to the gas in the working chamber.
We return an arraym instance the same length as the number of CV in existence
More code (a proper heat transfer model) could be included here, like
in PDSim.recip.core
"""
return arraym([0.0]*self.CVs.N)
def step_callback(self,t,h,Itheta):
"""
Here we test whether the control volumes need to be
a) Split
b) Adjusted because you are at the discharge angle
"""
#This gets called at every step, or partial step
self.beta=t
def angle_difference(angle1,angle2):
# Due to the periodicity of angles, you need to handle the case where the
# angles wrap around - suppose theta_d is 6.28 and you are at an angles of 0.1 rad
#, the difference should be around 0.1, not -6.27
#
# This brilliant method is from http://blog.lexique-du-net.com/index.php?post/Calculate-the-real-difference-between-two-angles-keeping-the-sign
# and the comment of user tk
return (angle1-angle2+pi)%(2*pi)-pi
def IsAtSplit():
if t > 3.5 and t < 2*pi-self.theta_d:
return True
else:
return False
disable=False
if t<2*pi-self.theta_d<t+h and self.__before_discharge2__==False:
#Take a step almost up to the discharge angle using the old definitions
disable=True
h=2*pi-self.theta_d-t-1e-10
self.__before_discharge2__=True
elif self.__before_discharge2__==True:
#At the discharge angle
print('At the discharge angle')
########################
#Reassign chambers
########################
#Find chambers with a discharge_becomes flag
for key in self.CVs.exists_keys:
if self.CVs[key].discharge_becomes in self.CVs.keys:
#Set the state of the "new" chamber to be the old chamber
oldCV=self.CVs[key]
#print 'setting',key,'to',oldCV.discharge_becomes
if oldCV.exists==True:
newCV=self.CVs[oldCV.discharge_becomes]
newCV.State.update({'T':oldCV.State.T,'D':oldCV.State.rho})
oldCV.exists = False
newCV.exists = True
else:
raise AttributeError("old CV doesn't exist")
self.__before_discharge2__ = False
self.__before_discharge1__ = True
self.update_existence()
#Re-calculate the CV volumes
V,dV = self.CVs.volumes(t)
#Update the matrices using the new CV definitions
self.T[self.CVs.exists_indices,Itheta]=self.CVs.T
self.p[self.CVs.exists_indices,Itheta]=self.CVs.p
self.m[self.CVs.exists_indices,Itheta]=arraym(self.CVs.rho)*V
self.rho[self.CVs.exists_indices,Itheta]=arraym(self.CVs.rho)
# Adaptive makes steps of h/4 3h/8 12h/13 and h/2 and h
# Make sure step does not hit any *right* at theta_d
# That is why it is 2.2e-10 rather than 2.0e-10
h=2.2e-10
disable=True
elif self.CVs['sss'].exists and IsAtSplit():
#Build the volume vector using the old set of control volumes (pre-merge)
V,dV=self.CVs.volumes(t)
print('splitting')
if self.__hasLiquid__==False:
T = self.CVs['sss'].State.T
rho = self.CVs['sss'].State.rho
self.CVs['s1'].State.update({'T':T,'D':rho})
self.CVs['s2'].State.update({'T':T,'D':rho})
self.CVs['ss'].State.update({'T':T,'D':rho})
self.CVs['sss'].exists = False
self.CVs['s1'].exists = True
self.CVs['s2'].exists = True
self.CVs['ss'].exists = True
self.update_existence()
#Re-calculate the CV
V,dV=self.CVs.volumes(t)
self.T[self.CVs.exists_indices,Itheta] = self.CVs.T
self.p[self.CVs.exists_indices,Itheta] = self.CVs.p
self.m[self.CVs.exists_indices,Itheta] = arraym(self.CVs.rho)*V
self.rho[self.CVs.exists_indices,Itheta] = arraym(self.CVs.rho)
else:
raise NotImplementedError('no flooding yet')
h = 1e-8
disable=True
elif t > 2*pi - self.theta_d:
self.__before_discharge1__ = False
disable = False
return disable, h
def derivs(self, t0, xold):
return arraym([xold[0]])
def get_initial_array(self):
return arraym([1.0])
def step_callback(self,t,h,Itheta):
"""
Here we test whether the control volumes need to be
a) Split
b) Adjusted because you are at the discharge angle
"""
#This gets called at every step, or partial step
self.beta=t
def angle_difference(angle1,angle2):
# Due to the periodicity of angles, you need to handle the case where the
# angles wrap around - suppose theta_d is 6.28 and you are at an angles of 0.1 rad
#, the difference should be around 0.1, not -6.27
#
# This brilliant method is from http://blog.lexique-du-net.com/index.php?post/Calculate-the-real-difference-between-two-angles-keeping-the-sign
# and the comment of user tk
return (angle1-angle2+pi)%(2*pi)-pi
def IsAtSplit():
if t > 3.5 and t < 2*pi-self.theta_d:
return True
else:
return False
disable=False
if t<2*pi-self.theta_d<t+h and self.__before_discharge2__==False:
#Take a step almost up to the discharge angle using the old definitions
disable=True
h=2*pi-self.theta_d-t-1e-10
self.__before_discharge2__=True
elif self.__before_discharge2__==True:
#At the discharge angle
print('At the discharge angle')
########################
#Reassign chambers
########################
#Find chambers with a discharge_becomes flag
for key in self.CVs.exists_keys:
if self.CVs[key].discharge_becomes in self.CVs.keys:
#Set the state of the "new" chamber to be the old chamber
oldCV=self.CVs[key]
#print 'setting',key,'to',oldCV.discharge_becomes
if oldCV.exists==True:
newCV=self.CVs[oldCV.discharge_becomes]
newCV.State.update({'T':oldCV.State.T,'D':oldCV.State.rho})
oldCV.exists = False
newCV.exists = True
else:
raise AttributeError("old CV doesn't exist")
self.__before_discharge2__ = False
self.__before_discharge1__ = True
self.update_existence()
#Re-calculate the CV volumes
V,dV = self.CVs.volumes(t)
#Update the matrices using the new CV definitions
self.T[self.CVs.exists_indices,Itheta]=self.CVs.T
self.p[self.CVs.exists_indices,Itheta]=self.CVs.p
self.m[self.CVs.exists_indices,Itheta]=arraym(self.CVs.rho)*V
self.rho[self.CVs.exists_indices,Itheta]=arraym(self.CVs.rho)
# Adaptive makes steps of h/4 3h/8 12h/13 and h/2 and h
# Make sure step does not hit any *right* at theta_d
# That is why it is 2.2e-10 rather than 2.0e-10
h=2.2e-10
disable=True
elif self.CVs['sss'].exists and IsAtSplit():
#Build the volume vector using the old set of control volumes (pre-merge)
V,dV=self.CVs.volumes(t)
print('splitting')
if self.__hasLiquid__==False:
T = self.CVs['sss'].State.T
rho = self.CVs['sss'].State.rho
self.CVs['s1'].State.update({'T':T,'D':rho})
self.CVs['s2'].State.update({'T':T,'D':rho})
self.CVs['ss'].State.update({'T':T,'D':rho})
self.CVs['sss'].exists = False
self.CVs['s1'].exists = True
self.CVs['s2'].exists = True
self.CVs['ss'].exists = True
self.update_existence()
#Re-calculate the CV
V,dV=self.CVs.volumes(t)
self.T[self.CVs.exists_indices,Itheta] = self.CVs.T
self.p[self.CVs.exists_indices,Itheta] = self.CVs.p
self.m[self.CVs.exists_indices,Itheta] = arraym(self.CVs.rho)*V
self.rho[self.CVs.exists_indices,Itheta] = arraym(self.CVs.rho)
else:
raise NotImplementedError('no flooding yet')
h = 1e-8
disable=True
elif t > 2*pi - self.theta_d:
self.__before_discharge1__ = False
disable = False
return disable, h