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test2.py
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test2.py
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import pyomo.environ as pe
from jj_thesis.Rheology import Chemical, Stream
import jj_thesis.Rheology.emulsion_models.viscosity as em_v
import jj_thesis.Rheology.emulsion_models.dp_size as dps
from pyomo.opt import SolverFactory
################################
# Master model
################################
m = pe.ConcreteModel() # Modelo integrado de diseno
opt = SolverFactory("ipopt")
opt2 = SolverFactory("scip")
#
# Propiedades de fluidos
# Agua
wat = Chemical(name = "wat")
wat.mu_parameters = {0 : 0.01}
wat.rho_parameters = {0: 1}
CPh = Stream() # Fase continua
CPh.add_chemical(wat)
CPh.temperature = 298
# Metodos de prediccion
CPh.enable_viscosity_calculation()
CPh.enable_density_calculation()
CPh.activate_w_to_v()
CPh.initialize_mass_flow(80)
m.CPh = CPh
# Aceite
oil = Chemical(name = "oil")
oil.mu_parameters = {0 : 1}
oil.rho_parameters = {0 : 0.8}
alm= Chemical(name="alm")
alm.mu_parameters= {0 : 2}
alm.rho_parameters = {0: 1.6}
DPh = Stream()
# Metodos de prediccion
DPh.add_chemical(oil)
Dph.add_chemical(alm)
DPh.enable_viscosity_calculation()
DPh.enable_density_calculation()
DPh.activate_w_to_v()
DPh.initialize_mass_flow(20)
m.DPh = DPh
# Restriccion balance de materia
# m.DPh.mass_flow.setlb()
# m.DPh.mass_flow.setlb()
DPh.mass_flow.setub(30)
def bal_const_rule(m):
return m.DPh.mass_flow + m.CPh.mass_flow == 100
m.bal_const = pe.Constraint(rule = bal_const_rule)
# Inicializar corrientes
opt.solve(CPh)
opt.solve(DPh)
#####################################
# Modelo de emulsion
#####################################
m.cd = pe.Set(initialize = ['prop', 'appl']) # Conjunto de condiciones
############### Viscosidad de emulsion
m.mu = pe.Var(m.cd, domain = pe.PositiveReals) # Emulsion viscosity
###############
# Variables compartidas
m.vo = pe.Var(domain = pe.PositiveReals, bounds = (0,1)) # Fraccion volumetrica O/W
m.dM = pe.Var(domain = pe.PositiveReals) # D32 [mu m]
m.ti = pe.Var(domain = pe.PositiveReals) # Tension interfacial
m.k = pe.Var(m.cd, domain = pe.PositiveReals) # Ratio de viscosidades
m.Sr = pe.Var(m.cd, domain = pe.PositiveReals) # Shear rate
# Variables fijas y limites
m.Sr['appl'].fix(100) # Shear rate
m.Sr['prop'].value = 1000 #
m.dM.setlb(3)
m.dM.setub(30)
m.dM.fix(9.3)
m.ti.fix(20)
###################################
# Modelos de viscosidad de emulsion
###################################
# Calculo de variables de ensamble
def vo_rule(m):
return m.DPh.vol_flow == m.vo * (m.DPh.vol_flow + m.CPh.vol_flow)
m.vo_cons = pe.Constraint(rule = vo_rule)
m.vo.value = m.DPh.vol_flow.value / (m.CPh.vol_flow.value + m.DPh.vol_flow.value)
def k_rule(m,i):
return m.DPh.Dmu == m.k[i]*m.CPh.Dmu
m.k_cons = pe.Constraint(m.cd, rule = k_rule)
for i in m.cd:
m.k[i].value = m.DPh.Dmu.value / m.CPh.Dmu.value
# Bloques de Oldroyd
old_prop = em_v.oldroyd_viscosity_model(v0 = 0.3,
k0 = m.k[i].value,
c_mu0 = m.CPh.Dmu.value)
old_appl = em_v.oldroyd_viscosity_model(v0 = 0.3,
k0 = m.k[i].value,
c_mu0 = m.CPh.Dmu.value)
def oldy_rule(m,i):
if i == 'prop':
return old_prop
else:
return old_appl
m.oldy = pe.Block(m.cd, rule = oldy_rule)
#
# Restricciones de ensamble
m.split_cs = pe.ConstraintList() # Lista de split constraints
for i in m.cd:
m.split_cs.add(expr = m.vo == m.oldy[i].v) # Fraccion volumetrica
m.split_cs.add(expr = m.k[i] == m.oldy[i].k) # V. Ratio
m.split_cs.add(expr = m.dM == m.oldy[i].dD) # D32
m.split_cs.add(expr = m.Sr[i] == m.oldy[i].Sr) # Shear rate
m.split_cs.add(expr = m.ti == m.oldy[i].st) # ow surface tension
# split de viscosidad
m.split_mu = pe.ConstraintList()
for i in m.cd:
m.split_mu.add(expr = m.mu[i] == m.oldy[i].mu)
m.split_mu.add(expr = m.CPh.Dmu == m.oldy[i].c_mu)
#####################################
# Diametro de particula
####################################
"""
m.dps = dps.h_k_model()
# Restricciones de ensamble
m.split_dp = pe.ConstraintList()
m.split_dp.add(expr = m.CPh.Rho == m.dps.c_den)
m.split_dp.add(expr = m.Sr['prop'] == m.dps.Sr)
m.split_dp.add(expr = m.ti == m.dps.st)
m.split_dp.add(expr = m.DPh.Dmu == m.dps.d_mu)
####
m.split_dp.add(expr = m.dM == m.dps.dD)
m.split_dp.pprint()
"""
#########################
# Caso de estudio
########################333
m.obj = pe.Objective(expr = -m.mu["appl"])
opt.solve(m, tee = True)
m.oldy.pprint()
CPh.mass_flow.pprint()
m.k.pprint()