Added stubs for liquid phase and aqueous phase transport.

This commit is contained in:
Harry Moffat 2009-02-14 19:33:52 +00:00
parent 8737bda5f9
commit 0127285b88
9 changed files with 2799 additions and 3 deletions

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/**
* @file MixTransport.cpp
* Mixture-averaged transport properties for ideal gas mixtures.
*/
/*
* $Revision$
* $Date$
*/
// turn off warnings under Windows
#ifdef WIN32
#pragma warning(disable:4786)
#pragma warning(disable:4503)
#endif
#include "ThermoPhase.h"
#include "LiquidTransport.h"
#include "utilities.h"
#include "TransportParams.h"
#include "TransportFactory.h"
#include "ctlapack.h"
#include <iostream>
using namespace std;
/**
* Mole fractions below MIN_X will be set to MIN_X when computing
* transport properties.
*/
#define MIN_X 1.e-20
namespace Cantera {
//////////////////// class AqueousTransport methods //////////////
AqueousTransport::AqueousTransport() :
m_nsp(0),
m_tmin(-1.0),
m_tmax(100000.),
m_iStateMF(-1),
m_temp(-1.0),
m_logt(0.0),
m_sqrt_t(-1.0),
m_t14(-1.0),
m_t32(-1.0),
m_sqrt_kbt(-1.0),
m_press(-1.0),
m_lambda(-1.0),
m_viscmix(-1.0),
m_viscmix_ok(false),
m_viscwt_ok(false),
m_spvisc_ok(false),
m_diffmix_ok(false),
m_bindiff_ok(false),
m_spcond_ok(false),
m_condmix_ok(false),
m_mode(-1000),
m_debug(false),
m_nDim(1)
{
}
// Initialize the object
/*
* This is where we dimension everything.
*/
bool AqueousTransport::init(TransportParams& tr) {
// constant substance attributes
m_thermo = tr.thermo;
m_nsp = m_thermo->nSpecies();
m_tmin = m_thermo->minTemp();
m_tmax = m_thermo->maxTemp();
// make a local copy of the molecular weights
m_mw.resize(m_nsp);
copy(m_thermo->molecularWeights().begin(),
m_thermo->molecularWeights().end(), m_mw.begin());
// copy polynomials and parameters into local storage
m_poly = tr.poly;
m_visccoeffs = tr.visccoeffs;
m_condcoeffs = tr.condcoeffs;
m_diffcoeffs = tr.diffcoeffs;
m_mode = tr.mode;
m_diam = tr.diam;
m_eps = tr.eps;
m_alpha = tr.alpha;
m_phi.resize(m_nsp, m_nsp, 0.0);
m_wratjk.resize(m_nsp, m_nsp, 0.0);
m_wratkj1.resize(m_nsp, m_nsp, 0.0);
int j, k;
for (j = 0; j < m_nsp; j++)
for (k = j; k < m_nsp; k++) {
m_wratjk(j,k) = sqrt(m_mw[j]/m_mw[k]);
m_wratjk(k,j) = sqrt(m_wratjk(j,k));
m_wratkj1(j,k) = sqrt(1.0 + m_mw[k]/m_mw[j]);
}
m_polytempvec.resize(5);
m_visc.resize(m_nsp);
m_sqvisc.resize(m_nsp);
m_cond.resize(m_nsp);
m_bdiff.resize(m_nsp, m_nsp);
m_molefracs.resize(m_nsp);
m_spwork.resize(m_nsp);
// resize the internal gradient variables
m_Grad_X.resize(m_nDim * m_nsp, 0.0);
m_Grad_T.resize(m_nDim, 0.0);
m_Grad_V.resize(m_nDim, 0.0);
m_Grad_mu.resize(m_nDim * m_nsp, 0.0);
// set all flags to false
m_viscmix_ok = false;
m_viscwt_ok = false;
m_spvisc_ok = false;
m_spcond_ok = false;
m_condmix_ok = false;
m_spcond_ok = false;
m_diffmix_ok = false;
return true;
}
/*********************************************************
*
* Public methods
*
*********************************************************/
/****************** viscosity ******************************/
/*
* The viscosity is computed using the Wilke mixture rule.
* \f[
* \mu = \sum_k \frac{\mu_k X_k}{\sum_j \Phi_{k,j} X_j}.
* \f]
* Here \f$ \mu_k \f$ is the viscosity of pure species \e k,
* and
* \f[
* \Phi_{k,j} = \frac{\left[1
* + \sqrt{\left(\frac{\mu_k}{\mu_j}\sqrt{\frac{M_j}{M_k}}\right)}\right]^2}
* {\sqrt{8}\sqrt{1 + M_k/M_j}}
* \f]
* @see updateViscosity_T();
*/
doublereal AqueousTransport::viscosity() {
update_T();
update_C();
if (m_viscmix_ok) return m_viscmix;
// update m_visc[] and m_phi[] if necessary
if (!m_viscwt_ok) updateViscosity_T();
multiply(m_phi, DATA_PTR(m_molefracs), DATA_PTR(m_spwork));
m_viscmix = 0.0;
for (int k = 0; k < m_nsp; k++) {
m_viscmix += m_molefracs[k] * m_visc[k]/m_spwork[k]; //denom;
}
return m_viscmix;
}
/******************* binary diffusion coefficients **************/
void AqueousTransport::getBinaryDiffCoeffs(int ld, doublereal* d) {
int i,j;
update_T();
// if necessary, evaluate the binary diffusion coefficents
// from the polynomial fits
if (!m_bindiff_ok) updateDiff_T();
doublereal pres = m_thermo->pressure();
doublereal rp = 1.0/pres;
for (i = 0; i < m_nsp; i++)
for (j = 0; j < m_nsp; j++) {
d[ld*j + i] = rp * m_bdiff(i,j);
}
}
void AqueousTransport::getMobilities(doublereal* mobil) {
// this needs to be checked out.
int k;
getMixDiffCoeffs(DATA_PTR(m_spwork));
doublereal c1 = ElectronCharge / (Boltzmann * m_temp);
for (k = 0; k < m_nsp; k++) {
mobil[k] = c1 * m_spwork[k] * m_thermo->charge(k);
}
}
void AqueousTransport::set_Grad_V(const doublereal* grad_V) {
for (int a = 0; a < m_nDim; a++) {
m_Grad_V[a] = grad_V[a];
}
}
void AqueousTransport::set_Grad_T(const doublereal* grad_T) {
for (int a = 0; a < m_nDim; a++) {
m_Grad_T[a] = grad_T[a];
}
}
void AqueousTransport::set_Grad_X(const doublereal* grad_X) {
int itop = m_nDim * m_nsp;
for (int i = 0; i < itop; i++) {
m_Grad_X[i] = grad_X[i];
}
}
/****************** thermal conductivity **********************/
/*
* The thermal conductivity is computed from the following mixture rule:
* \[
* \lambda = 0.5 \left( \sum_k X_k \lambda_k
* + \frac{1}{\sum_k X_k/\lambda_k}\right)
* \]
*/
doublereal AqueousTransport::thermalConductivity() {
int k;
update_T();
update_C();
if (!m_spcond_ok) updateCond_T();
if (!m_condmix_ok) {
doublereal sum1 = 0.0, sum2 = 0.0;
for (k = 0; k < m_nsp; k++) {
sum1 += m_molefracs[k] * m_cond[k];
sum2 += m_molefracs[k] / m_cond[k];
}
m_lambda = 0.5*(sum1 + 1.0/sum2);
}
return m_lambda;
}
/****************** thermal diffusion coefficients ************/
/**
* Thermal diffusion is not considered in this mixture-averaged
* model. To include thermal diffusion, use transport manager
* MultiTransport instead. This methods fills out array dt with
* zeros.
*/
void AqueousTransport::getThermalDiffCoeffs(doublereal* dt) {
int k;
for (k = 0; k < m_nsp; k++) {
dt[k] = 0.0;
}
}
/**
* @param ndim The number of spatial dimensions (1, 2, or 3).
* @param grad_T The temperature gradient (ignored in this model).
* @param ldx Leading dimension of the grad_X array.
* The diffusive mass flux of species \e k is computed from
*
* \f[
* \vec{j}_k = -n M_k D_k \nabla X_k.
* \f]
*/
void AqueousTransport::getSpeciesFluxes(int ndim,
doublereal* grad_T,
int ldx, const doublereal* grad_X,
int ldf, doublereal* fluxes) {
set_Grad_T(grad_T);
set_Grad_X(grad_X);
getSpeciesFluxesExt(ldf, fluxes);
}
/**
* @param ndim The number of spatial dimensions (1, 2, or 3).
* @param grad_T The temperature gradient (ignored in this model).
* @param ldx Leading dimension of the grad_X array.
* The diffusive mass flux of species \e k is computed from
*
* \f[
* \vec{j}_k = -n M_k D_k \nabla X_k.
* \f]
*/
void AqueousTransport::getSpeciesFluxesExt(int ldf, doublereal* fluxes) {
int n, k;
update_T();
update_C();
getMixDiffCoeffs(DATA_PTR(m_spwork));
const array_fp& mw = m_thermo->molecularWeights();
const doublereal* y = m_thermo->massFractions();
doublereal rhon = m_thermo->molarDensity();
// Unroll wrt ndim
vector_fp sum(m_nDim,0.0);
for (n = 0; n < m_nDim; n++) {
for (k = 0; k < m_nsp; k++) {
fluxes[n*ldf + k] = -rhon * mw[k] * m_spwork[k] * m_Grad_X[n*m_nsp + k];
sum[n] += fluxes[n*ldf + k];
}
}
// add correction flux to enforce sum to zero
for (n = 0; n < m_nDim; n++) {
for (k = 0; k < m_nsp; k++) {
fluxes[n*ldf + k] -= y[k]*sum[n];
}
}
}
/**
* Mixture-averaged diffusion coefficients [m^2/s].
*
* For the single species case or the pure fluid case
* the routine returns the self-diffusion coefficient.
* This is need to avoid a Nan result in the formula
* below.
*/
void AqueousTransport::getMixDiffCoeffs(doublereal* d) {
update_T();
update_C();
// update the binary diffusion coefficients if necessary
if (!m_bindiff_ok) updateDiff_T();
int k, j;
doublereal mmw = m_thermo->meanMolecularWeight();
doublereal sumxw = 0.0, sum2;
doublereal p = m_press;
if (m_nsp == 1) {
d[0] = m_bdiff(0,0) / p;
} else {
for (k = 0; k < m_nsp; k++) sumxw += m_molefracs[k] * m_mw[k];
for (k = 0; k < m_nsp; k++) {
sum2 = 0.0;
for (j = 0; j < m_nsp; j++) {
if (j != k) {
sum2 += m_molefracs[j] / m_bdiff(j,k);
}
}
if (sum2 <= 0.0) {
d[k] = m_bdiff(k,k) / p;
} else {
d[k] = (sumxw - m_molefracs[k] * m_mw[k])/(p * mmw * sum2);
}
}
}
}
// Handles the effects of changes in the Temperature, internally
// within the object.
/*
* This is called whenever a transport property is
* requested.
* The first task is to check whether the temperature has changed
* since the last call to update_T().
* If it hasn't then an immediate return is carried out.
*
* @internal
*/
void AqueousTransport::update_T()
{
doublereal t = m_thermo->temperature();
if (t == m_temp) return;
if (t < 0.0) {
throw CanteraError("AqueousTransport::update_T",
"negative temperature "+fp2str(t));
}
// Compute various functions of temperature
m_temp = t;
m_logt = log(m_temp);
m_kbt = Boltzmann * m_temp;
m_sqrt_t = sqrt(m_temp);
m_t14 = sqrt(m_sqrt_t);
m_t32 = m_temp * m_sqrt_t;
m_sqrt_kbt = sqrt(Boltzmann*m_temp);
// compute powers of log(T)
m_polytempvec[0] = 1.0;
m_polytempvec[1] = m_logt;
m_polytempvec[2] = m_logt*m_logt;
m_polytempvec[3] = m_logt*m_logt*m_logt;
m_polytempvec[4] = m_logt*m_logt*m_logt*m_logt;
// temperature has changed, so polynomial temperature
// interpolations will need to be reevaluated.
// Set all of these flags to false
m_viscmix_ok = false;
m_spvisc_ok = false;
m_viscwt_ok = false;
m_spcond_ok = false;
m_diffmix_ok = false;
m_bindiff_ok = false;
m_condmix_ok = false;
// For now, for a concentration redo also
m_iStateMF = -1;
}
/**
* @internal This is called the first time any transport property
* is requested from Mixture after the concentrations
* have changed.
*/
void AqueousTransport::update_C()
{
doublereal pres = m_thermo->pressure();
// Check for changes in the mole fraction vector.
int iStateNew = m_thermo->getIStateMF();
if (iStateNew == m_iStateMF) {
if (pres == m_press) {
return;
}
} else {
m_iStateMF = iStateNew;
}
m_press = pres;
// signal that concentration-dependent quantities will need to
// be recomputed before use, and update the local mole
// fractions.
m_viscmix_ok = false;
m_diffmix_ok = false;
m_condmix_ok = false;
m_thermo->getMoleFractions(DATA_PTR(m_molefracs));
// add an offset to avoid a pure species condition or
// negative mole fractions. MIN_X is 1.0E-20, a value
// which is below the additive machine precision of mole fractions.
int k;
for (k = 0; k < m_nsp; k++) {
m_molefracs[k] = fmaxx(MIN_X, m_molefracs[k]);
}
}
/*************************************************************************
*
* methods to update temperature-dependent properties
*
*************************************************************************/
/**
* Update the temperature-dependent parts of the mixture-averaged
* thermal conductivity.
*/
void AqueousTransport::updateCond_T() {
int k;
if (m_mode == CK_Mode) {
for (k = 0; k < m_nsp; k++) {
m_cond[k] = exp(dot4(m_polytempvec, m_condcoeffs[k]));
}
}
else {
for (k = 0; k < m_nsp; k++) {
m_cond[k] = m_sqrt_t*dot5(m_polytempvec, m_condcoeffs[k]);
}
}
m_spcond_ok = true;
m_condmix_ok = false;
}
/**
* Update the binary diffusion coefficients. These are evaluated
* from the polynomial fits at unit pressure (1 Pa).
*/
void AqueousTransport::updateDiff_T() {
// evaluate binary diffusion coefficients at unit pressure
int i,j;
int ic = 0;
if (m_mode == CK_Mode) {
for (i = 0; i < m_nsp; i++) {
for (j = i; j < m_nsp; j++) {
m_bdiff(i,j) = exp(dot4(m_polytempvec, m_diffcoeffs[ic]));
m_bdiff(j,i) = m_bdiff(i,j);
ic++;
}
}
}
else {
for (i = 0; i < m_nsp; i++) {
for (j = i; j < m_nsp; j++) {
m_bdiff(i,j) = m_temp * m_sqrt_t*dot5(m_polytempvec,
m_diffcoeffs[ic]);
m_bdiff(j,i) = m_bdiff(i,j);
ic++;
}
}
}
m_bindiff_ok = true;
m_diffmix_ok = false;
}
/**
* Update the pure-species viscosities.
*/
void AqueousTransport::updateSpeciesViscosities() {
int k;
if (m_mode == CK_Mode) {
for (k = 0; k < m_nsp; k++) {
m_visc[k] = exp(dot4(m_polytempvec, m_visccoeffs[k]));
m_sqvisc[k] = sqrt(m_visc[k]);
}
}
else {
for (k = 0; k < m_nsp; k++) {
// the polynomial fit is done for sqrt(visc/sqrt(T))
m_sqvisc[k] = m_t14*dot5(m_polytempvec, m_visccoeffs[k]);
m_visc[k] = (m_sqvisc[k]*m_sqvisc[k]);
}
}
m_spvisc_ok = true;
}
/**
* Update the temperature-dependent viscosity terms.
* Updates the array of pure species viscosities, and the
* weighting functions in the viscosity mixture rule.
* The flag m_visc_ok is set to true.
*/
void AqueousTransport::updateViscosity_T() {
doublereal vratiokj, wratiojk, factor1;
if (!m_spvisc_ok) updateSpeciesViscosities();
// see Eq. (9-5.15) of Reid, Prausnitz, and Poling
int j, k;
for (j = 0; j < m_nsp; j++) {
for (k = j; k < m_nsp; k++) {
vratiokj = m_visc[k]/m_visc[j];
wratiojk = m_mw[j]/m_mw[k];
// Note that m_wratjk(k,j) holds the square root of
// m_wratjk(j,k)!
factor1 = 1.0 + (m_sqvisc[k]/m_sqvisc[j]) * m_wratjk(k,j);
m_phi(k,j) = factor1*factor1 /
(SqrtEight * m_wratkj1(j,k));
m_phi(j,k) = m_phi(k,j)/(vratiokj * wratiojk);
}
}
m_viscwt_ok = true;
}
/**
* This function returns a Transport data object for a given species.
*
*/
struct GasTransportData AqueousTransport::
getGasTransportData(int kSpecies)
{
struct GasTransportData td;
td.speciesName = m_thermo->speciesName(kSpecies);
td.wellDepth = m_eps[kSpecies] / Boltzmann;
td.diameter = m_diam(kSpecies, kSpecies) * 1.0E10;
td.polarizability = m_alpha[kSpecies] * 1.0E30;
return td;
}
/*
*
* Solve for the diffusional velocities in the Stefan-Maxwell equations
*
*/
void AqueousTransport::stefan_maxwell_solve() {
int i, j, a;
int VIM = 2;
m_B.resize(m_nsp, VIM);
//! grab a local copy of the molecular weights
const vector_fp& M = m_thermo->molecularWeights();
//! get the mean molecular weight of the mixture
//double M_mix = m_thermo->meanMolecularWeight();
//! get the concentration of the mixture
//double rho = m_thermo->density();
//double c = rho/M_mix;
m_thermo->getMoleFractions(DATA_PTR(m_molefracs));
double T = m_thermo->temperature();
/* electrochemical potential gradient */
for (i = 0; i < m_nsp; i++) {
for (a = 0; a < VIM; a++) {
m_Grad_mu[a*m_nsp + i] = m_chargeSpecies[i] * Faraday * m_Grad_V[a]
+ (GasConstant*T/m_molefracs[i]) * m_Grad_X[a*m_nsp+i];
}
}
/*
* Just for Note, m_A(i,j) refers to the ith row and jth column.
* They are still fortran ordered, so that i varies fastest.
*/
switch ( VIM ) {
case 1: /* 1-D approximation */
m_B(0,0) = 0.0;
for (j = 0; j < m_nsp; j++) {
m_A(0,j) = 1.0;
}
for (i = 1; i < m_nsp; i++){
m_B(i,0) = m_concentrations[i] * m_Grad_mu[i] / (GasConstant * T);
for (j = 0; j < m_nsp; j++){
if (j != i) {
m_A(i,j) = m_molefracs[i] / ( M[j] * m_DiffCoeff_StefMax(i,j));
m_A(i,i) -= m_molefracs[j] / ( M[i] * m_DiffCoeff_StefMax(i,j));
}
else if (j == i) {
m_A(i,i) = 0.0;
}
}
}
//! invert and solve the system Ax = b. Answer is in m_B
solve(m_A, m_B.ptrColumn(0));
m_flux = m_B;
break;
case 2: /* 2-D approximation */
m_B(0,0) = 0.0;
m_B(0,1) = 0.0;
for (j = 0; j < m_nsp; j++) {
m_A(0,j) = 1.0;
}
for (i = 1; i < m_nsp; i++){
m_B(i,0) = m_concentrations[i] * m_Grad_mu[i] / (GasConstant * T);
m_B(i,1) = m_concentrations[i] * m_Grad_mu[m_nsp + i] / (GasConstant * T);
for (j = 0; j < m_nsp; j++){
if (j != i) {
m_A(i,j) = m_molefracs[i] / ( M[j] * m_DiffCoeff_StefMax(i,j));
m_A(i,i) -= m_molefracs[j] / ( M[i] * m_DiffCoeff_StefMax(i,j));
}
else if (j == i) {
m_A(i,i) = 0.0;
}
}
}
//! invert and solve the system Ax = b. Answer is in m_B
solve(m_A, m_B);
m_flux = m_B;
break;
case 3: /* 3-D approximation */
m_B(0,0) = 0.0;
m_B(0,1) = 0.0;
m_B(0,2) = 0.0;
for (j = 0; j < m_nsp; j++) {
m_A(0,j) = 1.0;
}
for (i = 1; i < m_nsp; i++){
m_B(i,0) = m_concentrations[i] * m_Grad_mu[i] / (GasConstant * T);
m_B(i,1) = m_concentrations[i] * m_Grad_mu[m_nsp + i] / (GasConstant * T);
m_B(i,2) = m_concentrations[i] * m_Grad_mu[2*m_nsp + i] / (GasConstant * T);
for (j = 0; j < m_nsp; j++){
if (j != i) {
m_A(i,j) = m_molefracs[i] / ( M[j] * m_DiffCoeff_StefMax(i,j));
m_A(i,i) -= m_molefracs[j] / ( M[i] * m_DiffCoeff_StefMax(i,j));
}
else if (j == i) {
m_A(i,i) = 0.0;
}
}
}
//! invert and solve the system Ax = b. Answer is in m_B
solve(m_A, m_B);
m_flux = m_B;
break;
default:
printf("uninmplemetnd\n");
throw CanteraError("routine", "not done");
break;
}
}
}

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/**
* @file LiquidTransport.h
* Header file defining class AqueousTransport
*/
/*
* $Revision$
* $Date$
*/
// Copyright 2001 California Institute of Technology
#ifndef CT_AQUEOUSTRAN_H
#define CT_AQYEOUSTRAN_H
using namespace std;
// Cantera includes
#include "TransportBase.h"
#include "DenseMatrix.h"
#include <vector>
#include <string>
#include <map>
#include <numeric>
#include <algorithm>
namespace Cantera {
class TransportParams;
//! Class AqueousTransport implements mixture-averaged transport
//! properties for liquid phases.
/*!
* The model is based on that
* described by Newman, Electrochemical Systems
*
* The velocity of species i may be described by the
* following equation p. 297 (12.1)
*
* \f[
* c_i \nabla \mu_i = R T \sum_j \frac{c_i c_j}{c_T D_{ij}}
* (\mathbf{v}_j - \mathbf{v}_i)
* \f]
*
* This as written is degenerate by 1 dof.
*
* To fix this we must add in the definition of the mass averaged
* velocity of the solution. We will call the simple bold-faced
* \f$\mathbf{v} \f$
* symbol the mass-averaged velocity. Then, the relation
* between \f$\mathbf{v}\f$ and the individual species velocities is
* \f$\mathbf{v}_i\f$
*
* \f[
* \rho_i \mathbf{v}_i = \rho_i \mathbf{v} + \mathbf{j}_i
* \f]
* where \f$\mathbf{j}_i\f$ are the diffusional fluxes of species i
* with respect to the mass averaged velocity and
*
* \f[
* \sum_i \mathbf{j}_i = 0
* \f]
*
* and
*
* \f[
* \sum_i \rho_i \mathbf{v}_i = \rho \mathbf{v}
* \f]
*
* Using these definitions, we can write
*
* \f[
* \mathbf{v}_i = \mathbf{v} + \frac{\mathbf{j}_i}{\rho_i}
* \f]
*
*
* \f[
* c_i \nabla \mu_i = R T \sum_j \frac{c_i c_j}{c_T D_{ij}}
* (\frac{\mathbf{j}_j}{\rho_j} - \frac{\mathbf{j}_i}{\rho_i})
* = R T \sum_j \frac{1}{D_{ij}}
* (\frac{x_i \mathbf{j}_j}{M_j} - \frac{x_j \mathbf{j}_i}{M_i})
* \f]
*
* The equations that we actually solve are
*
* \f[
* c_i \nabla \mu_i =
* = R T \sum_j \frac{1}{D_{ij}}
* (\frac{x_i \mathbf{j}_j}{M_j} - \frac{x_j \mathbf{j}_i}{M_i})
* \f]
* and we replace the 0th equation with the following:
*
* \f[
* \sum_i \mathbf{j}_i = 0
* \f]
*
* When there are charged species, we replace the rhs with the
* gradient of the electrochemical potential to obtain the
* modified equation
*
* \f[
* c_i \nabla \mu_i + c_i F z_i \nabla \Phi
* = R T \sum_j \frac{1}{D_{ij}}
* (\frac{x_i \mathbf{j}_j}{M_j} - \frac{x_j \mathbf{j}_i}{M_i})
* \f]
*
* With this formulation we may solve for the diffusion velocities,
* without having to worry about what the mass averaged velocity
* is.
*
* <H2> Viscosity Calculation </H2>
*
* The viscosity calculation may be broken down into two parts.
* In the first part, the viscosity of the pure species are calculated
* In the second part, a mixing rule is applied, based on the
* Wilkes correlation, to yield the mixture viscosity.
*
*
*
*/
class AqueousTransport : public Transport {
public:
//! virtual destructor
virtual ~AqueousTransport() {}
//! Return the model id for this transport parameterization
virtual int model() { return cAqueousTransport; }
//! overloaded base class methods
//! Returns the viscosity of the solution
/*!
* The viscosity is computed using the Wilke mixture rule.
* \f[
* \mu = \sum_k \frac{\mu_k X_k}{\sum_j \Phi_{k,j} X_j}.
* \f]
* Here \f$ \mu_k \f$ is the viscosity of pure species \e k,
* and
* \f[
* \Phi_{k,j} = \frac{\left[1
* + \sqrt{\left(\frac{\mu_k}{\mu_j}\sqrt{\frac{M_j}{M_k}}\right)}\right]^2}
* {\sqrt{8}\sqrt{1 + M_k/M_j}}
* \f]
* @see updateViscosity_T();
*
* Controlling update boolean m_viscmix_ok
*/
virtual doublereal viscosity();
//! Returns the pure species viscosities
/*!
*
* Controlling update boolean = m_viscwt_ok
*/
virtual void getSpeciesViscosities(doublereal* visc)
{ updateViscosity_T(); copy(m_visc.begin(), m_visc.end(), visc); }
virtual void getThermalDiffCoeffs(doublereal* dt);
//! Return the thermal conductivity of the solution
/*!
* The thermal conductivity is computed from the following mixture rule:
* \f[
* \lambda = 0.5 \left( \sum_k X_k \lambda_k
* + \frac{1}{\sum_k X_k/\lambda_k}\right)
* \f]
*
* Controlling update boolean = m_condmix_ok
*/
virtual doublereal thermalConductivity();
//! Returns the binary diffusion coefficients
/*!
* @param ld
* @param d
*/
virtual void getBinaryDiffCoeffs(int ld, doublereal* d);
//! Get the Mixture diffusion coefficients
/*!
* @param d vector of mixture diffusion coefficients
* units = m2 s-1. length = number of species
*/
virtual void getMixDiffCoeffs(doublereal* d);
//! Get the Mobilities
/*!
* @param mobil
*/
virtual void getMobilities(doublereal* mobil);
//! Specify the value of the gradient of the voltage
/*!
*
* @param grad_V Gradient of the voltage (length num dimensions);
*/
virtual void set_Grad_V(const doublereal* grad_V);
//! Specify the value of the gradient of the temperature
/*!
*
* @param grad_V Gradient of the temperature (length num dimensions);
*/
virtual void set_Grad_T(const doublereal* grad_T);
//! Specify the value of the gradient of the MoleFractions
/*!
*
* @param grad_X Gradient of the mole fractions(length nsp * num dimensions);
*/
virtual void set_Grad_X(const doublereal* grad_X);
//! Handles the effects of changes in the Temperature, internally
//! within the object.
/*!
* This is called whenever a transport property is
* requested.
* The first task is to check whether the temperature has changed
* since the last call to update_T().
* If it hasn't then an immediate return is carried out.
*
* @internal
*/
virtual void update_T();
//! Handles the effects of changes in the mixture concentration
/*!
* This is called the first time any transport property
* is requested from Mixture after the concentrations
* have changed.
*
* @internal
*/
virtual void update_C();
/**
* @param ndim The number of spatial dimensions (1, 2, or 3).
* @param grad_T The temperature gradient (ignored in this model).
* @param ldx Leading dimension of the grad_X array.
* The diffusive mass flux of species \e k is computed from
*
*
*/
virtual void getSpeciesFluxes(int ndim,
doublereal* grad_T,
int ldx, const doublereal* grad_X,
int ldf, doublereal* fluxes);
/**
* @param ndim The number of spatial dimensions (1, 2, or 3).
* @param grad_T The temperature gradient (ignored in this model).
* @param ldx Leading dimension of the grad_X array.
* The diffusive mass flux of species \e k is computed from
*
*
*/
virtual void getSpeciesFluxesExt(int ldf, doublereal* fluxes);
//! Initialize the transport object
/*!
* Here we change all of the internal dimensions to be sufficient.
* We get the object ready to do property evaluations.
*
* @param tr Transport parameters for all of the species
* in the phase.
*/
virtual bool init(TransportParams& tr);
friend class TransportFactory;
/**
* Return a structure containing all of the pertinent parameters
* about a species that was used to construct the Transport
* properties in this object.
*
* @param k Species number to obtain the properties about.
*/
struct GasTransportData getGasTransportData(int k);
//! Solve the stefan_maxell equations for the diffusive fluxes.
void stefan_maxwell_solve();
protected:
//! default constructor
AqueousTransport();
private:
//! Number of species in the mixture
int m_nsp;
//! Minimum temperature applicable to the transport property eval
doublereal m_tmin;
//! Maximum temperature applicable to the transport property evaluator
doublereal m_tmax;
//! Local Copy of the molecular weights of the species
/*!
* Length is Equal to the number of species in the mechanism.
*/
vector_fp m_mw;
// polynomial fits
vector<vector<int> > m_poly;
//! Polynomial coefficients of the viscosity
/*!
* These express the temperature dependendence of the pures
* species viscosities.
*/
vector<vector_fp> m_visccoeffs;
//! Polynomial coefficients of the conductivities
/*!
* These express the temperature dependendence of the pures
* species conductivities
*/
vector<vector_fp> m_condcoeffs;
//! Polynomial coefficients of the binary diffusion coefficients
/*!
* These express the temperature dependendence of the
* binary diffusivities. An overall pressure dependence is then
* added.
*/
vector<vector_fp> m_diffcoeffs;
//! Internal value of the gradient of the mole fraction vector
/*!
* m_nsp is the number of species in the fluid
* k is the species index
* n is the dimensional index (x, y, or z). It has a length
* equal to m_nDim
*
* m_Grad_X[n*m_nsp + k]
*/
vector_fp m_Grad_X;
//! Internal value of the gradient of the Temperature vector
/*!
* Generally, if a transport property needs this
* in its evaluation it will look to this place
* to get it.
*
* No internal property is precalculated based on gradients.
* Gradients are assumed to be freshly updated before
* every property call.
*/
vector_fp m_Grad_T;
//! Internal value of the gradient of the Electric Voltage
/*!
* Generally, if a transport property needs this
* in its evaluation it will look to this place
* to get it.
*
* No internal property is precalculated based on gradients.
* Gradients are assumed to be freshly updated before
* every property call.
*/
vector_fp m_Grad_V;
//! Gradient of the electrochemical potential
/*!
* m_nsp is the number of species in the fluid
* k is the species index
* n is the dimensional index (x, y, or z)
*
* m_Grad_mu[n*m_nsp + k]
*/
vector_fp m_Grad_mu;
// property values
//! Array of Binary Diffusivities
/*!
* This has a size equal to nsp x nsp
* It is a symmetric matrix.
* D_ii is undefined.
*
* units m2/sec
*/
DenseMatrix m_bdiff;
//! Species viscosities
/*!
* Viscosity of the species
* Length = number of species
*
* Depends on the temperature and perhaps pressure, but
* not the species concentrations
*
* controlling update boolean -> m_spvisc_ok
*/
vector_fp m_visc;
//! Sqrt of the species viscosities
/*!
* The sqrt(visc) is used in the mixing formulas
* Length = m_nsp
*
* Depends on the temperature and perhaps pressure, but
* not the species concentrations
*
* controlling update boolean m_spvisc_ok
*/
vector_fp m_sqvisc;
//! Internal value of the species individual thermal conductivities
/*!
* Then a mixture rule is applied to get the solution conductivities
*
* Depends on the temperature and perhaps pressure, but
* not the species concentrations
*
* controlling update boolean -> m_spcond_ok
*/
vector_fp m_cond;
//! Polynomials of the log of the temperature
vector_fp m_polytempvec;
//! State of the mole fraction vector.
int m_iStateMF;
//! Local copy of the mole fractions of the species in the phase
/*!
* Update info?
* length = m_nsp
*/
vector_fp m_molefracs;
//! Local copy of the concentrations of the species in the phase
/*!
* Update info?
* length = m_nsp
*/
vector_fp m_concentrations;
//! Local copy of the charge of each species
/*!
* Contains the charge of each species (length m_nsp)
*/
vector_fp m_chargeSpecies;
//! Stefan-Maxwell Diffusion Coefficients at T, P and C
/*!
* These diffusion coefficients are considered to be
* a function of Temperature, Pressure, and Concentration.
*/
DenseMatrix m_DiffCoeff_StefMax;
//! viscosity weighting functions
DenseMatrix m_phi;
//! Matrix of the ratios of the species molecular weights
/*!
* m_wratjk(i,j) = (m_mw[j]/m_mw[k])**0.25
*/
DenseMatrix m_wratjk;
//! Matrix of the ratios of the species molecular weights
/*!
* m_wratkj1(i,j) = (1.0 + m_mw[k]/m_mw[j])**0.5
*/
DenseMatrix m_wratkj1;
//! RHS to the stefan-maxwell equation
Array2D m_B;
//! Matrix for the stefan maxwell equation.
DenseMatrix m_A;
//! Internal storage for the species LJ well depth
vector_fp m_eps;
//! Internal storage for species polarizability
vector_fp m_alpha;
//! Current Temperature -> locally storred
/*!
* This is used to test whether new temperature computations
* should be performed.
*/
doublereal m_temp;
//! Current log(T)
doublereal m_logt;
//! Current value of kT
doublereal m_kbt;
//! Current Temperature **0.5
doublereal m_sqrt_t;
//! Current Temperature **0.25
doublereal m_t14;
//! Current Temperature **1.5
doublereal m_t32;
//! Current temperature function
/*!
* This is equal to sqrt(Boltzmann * T)
*/
doublereal m_sqrt_kbt;
//! Current value of the pressure
doublereal m_press;
//! Solution of the flux system
Array2D m_flux;
//! saved value of the mixture thermal conductivity
doublereal m_lambda;
//! Saved value of the mixture viscosity
doublereal m_viscmix;
// work space
vector_fp m_spwork;
//! Internal Function
//! Update the temperature-dependent viscosity terms.
//! Updates the array of pure species viscosities, and the
//! weighting functions in the viscosity mixture rule.
/*!
* The flag m_visc_ok is set to true.
*/
void updateViscosity_T();
//! Update the temperature-dependent parts of the mixture-averaged
//! thermal conductivity.
void updateCond_T();
//! Update the species viscosities
/*!
* Internal routine is run whenever the update_boolean
* m_spvisc_ok is false. This routine will calculate
* internal values for the species viscosities.
*
* @internal
*/
void updateSpeciesViscosities();
//! Update the binary diffusion coefficients wrt T.
/*!
* These are evaluated
* from the polynomial fits at unit pressure (1 Pa).
*/
void updateDiff_T();
//! Boolean indicating that mixture viscosity is current
bool m_viscmix_ok;
//! Boolean indicating that weight factors wrt viscosity is current
bool m_viscwt_ok;
//! Flag to indicate that the pure species viscosities
//! are current wrt the temperature
bool m_spvisc_ok;
//! Boolean indicating that mixture diffusion coeffs are current
bool m_diffmix_ok;
//! Boolean indicating that binary diffusion coeffs are current
bool m_bindiff_ok;
//! Flag to indicate that the pure species conductivities
//! are current wrt the temperature
bool m_spcond_ok;
//! Boolean indicating that mixture conductivity is current
bool m_condmix_ok;
//! Mode for fitting the species viscosities
/*!
* Either its CK_Mode or its cantera mode
* in CK_Mode visc is fitted to a polynomial
* in Cantera mode sqrt(visc) is fitted.
*/
int m_mode;
//! Internal storage for the diameter - diameter
//! species interactions
DenseMatrix m_diam;
//! Debugging flags
/*!
* Turn on to get debugging information
*/
bool m_debug;
//! Number of dimensions
/*!
* Either 1, 2, or 3
*/
int m_nDim;
};
}
#endif

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@ -0,0 +1,722 @@
/**
* @file LiquidTransport.cpp
* Mixture-averaged transport properties for ideal gas mixtures.
*/
/*
* $Revision$
* $Date$
*/
#include "ThermoPhase.h"
#include "LiquidTransport.h"
#include "utilities.h"
#include "LiquidTransportParams.h"
#include "TransportFactory.h"
#include "ctlapack.h"
#include <iostream>
using namespace std;
/**
* Mole fractions below MIN_X will be set to MIN_X when computing
* transport properties.
*/
#define MIN_X 1.e-20
namespace Cantera {
//////////////////// class LiquidTransport methods //////////////
LiquidTransport::LiquidTransport() :
m_nsp(0),
m_tmin(-1.0),
m_tmax(100000.),
m_iStateMF(-1),
m_temp(-1.0),
m_logt(0.0),
m_sqrt_t(-1.0),
m_t14(-1.0),
m_t32(-1.0),
m_sqrt_kbt(-1.0),
m_press(-1.0),
m_lambda(-1.0),
m_viscmix(-1.0),
m_viscmix_ok(false),
m_viscwt_ok(false),
m_spvisc_ok(false),
m_diffmix_ok(false),
m_bindiff_ok(false),
m_spcond_ok(false),
m_condmix_ok(false),
m_mode(-1000),
m_debug(false),
m_nDim(1)
{
}
// Initialize the object
/*
* This is where we dimension everything.
*/
bool LiquidTransport::init(LiquidTransportParams& tr) {
// constant substance attributes
m_thermo = tr.thermo;
m_nsp = m_thermo->nSpecies();
m_tmin = m_thermo->minTemp();
m_tmax = m_thermo->maxTemp();
// make a local copy of the molecular weights
m_mw.resize(m_nsp);
copy(m_thermo->molecularWeights().begin(),
m_thermo->molecularWeights().end(), m_mw.begin());
// copy polynomials and parameters into local storage
m_poly = tr.poly;
viscCoeffsVector_ = tr.viscCoeffsVector_;
m_condcoeffs = tr.condcoeffs;
m_diffcoeffs = tr.diffcoeffs;
m_mode = tr.mode;
m_diam = tr.diam;
m_eps = tr.eps;
m_alpha = tr.alpha;
m_phi.resize(m_nsp, m_nsp, 0.0);
m_wratjk.resize(m_nsp, m_nsp, 0.0);
m_wratkj1.resize(m_nsp, m_nsp, 0.0);
int j, k;
for (j = 0; j < m_nsp; j++)
for (k = j; k < m_nsp; k++) {
m_wratjk(j,k) = sqrt(m_mw[j]/m_mw[k]);
m_wratjk(k,j) = sqrt(m_wratjk(j,k));
m_wratkj1(j,k) = sqrt(1.0 + m_mw[k]/m_mw[j]);
}
m_polytempvec.resize(5);
m_visc.resize(m_nsp);
m_sqvisc.resize(m_nsp);
m_cond.resize(m_nsp);
m_bdiff.resize(m_nsp, m_nsp);
m_molefracs.resize(m_nsp);
m_spwork.resize(m_nsp);
// resize the internal gradient variables
m_Grad_X.resize(m_nDim * m_nsp, 0.0);
m_Grad_T.resize(m_nDim, 0.0);
m_Grad_V.resize(m_nDim, 0.0);
m_Grad_mu.resize(m_nDim * m_nsp, 0.0);
// set all flags to false
m_viscmix_ok = false;
m_viscwt_ok = false;
m_spvisc_ok = false;
m_spcond_ok = false;
m_condmix_ok = false;
m_spcond_ok = false;
m_diffmix_ok = false;
return true;
}
/****************** viscosity ******************************/
/*
* The viscosity is computed using the Wilke mixture rule.
* \f[
* \mu = \sum_k \frac{\mu_k X_k}{\sum_j \Phi_{k,j} X_j}.
* \f]
* Here \f$ \mu_k \f$ is the viscosity of pure species \e k,
* and
* \f[
* \Phi_{k,j} = \frac{\left[1
* + \sqrt{\left(\frac{\mu_k}{\mu_j}\sqrt{\frac{M_j}{M_k}}\right)}\right]^2}
* {\sqrt{8}\sqrt{1 + M_k/M_j}}
* \f]
* @see updateViscosity_T();
*/
doublereal LiquidTransport::viscosity() {
update_T();
update_C();
if (m_viscmix_ok) return m_viscmix;
// update m_visc[] and m_phi[] if necessary
if (!m_viscwt_ok) updateViscosity_T();
multiply(m_phi, DATA_PTR(m_molefracs), DATA_PTR(m_spwork));
m_viscmix = 0.0;
for (int k = 0; k < m_nsp; k++) {
m_viscmix += m_molefracs[k] * m_visc[k]/m_spwork[k]; //denom;
}
return m_viscmix;
}
/******************* binary diffusion coefficients **************/
void LiquidTransport::getBinaryDiffCoeffs(int ld, doublereal* d) {
int i,j;
update_T();
// if necessary, evaluate the binary diffusion coefficents
// from the polynomial fits
if (!m_bindiff_ok) updateDiff_T();
doublereal pres = m_thermo->pressure();
doublereal rp = 1.0/pres;
for (i = 0; i < m_nsp; i++)
for (j = 0; j < m_nsp; j++) {
d[ld*j + i] = rp * m_bdiff(i,j);
}
}
void LiquidTransport::getMobilities(doublereal* mobil) {
// this needs to be checked out.
int k;
getMixDiffCoeffs(DATA_PTR(m_spwork));
doublereal c1 = ElectronCharge / (Boltzmann * m_temp);
for (k = 0; k < m_nsp; k++) {
mobil[k] = c1 * m_spwork[k] * m_thermo->charge(k);
}
}
void LiquidTransport::set_Grad_V(const doublereal* grad_V) {
for (int a = 0; a < m_nDim; a++) {
m_Grad_V[a] = grad_V[a];
}
}
void LiquidTransport::set_Grad_T(const doublereal* grad_T) {
for (int a = 0; a < m_nDim; a++) {
m_Grad_T[a] = grad_T[a];
}
}
void LiquidTransport::set_Grad_X(const doublereal* grad_X) {
int itop = m_nDim * m_nsp;
for (int i = 0; i < itop; i++) {
m_Grad_X[i] = grad_X[i];
}
}
/****************** thermal conductivity **********************/
/*
* The thermal conductivity is computed from the following mixture rule:
* \[
* \lambda = 0.5 \left( \sum_k X_k \lambda_k
* + \frac{1}{\sum_k X_k/\lambda_k}\right)
* \]
*/
doublereal LiquidTransport::thermalConductivity() {
int k;
update_T();
update_C();
if (!m_spcond_ok) updateCond_T();
if (!m_condmix_ok) {
doublereal sum1 = 0.0, sum2 = 0.0;
for (k = 0; k < m_nsp; k++) {
sum1 += m_molefracs[k] * m_cond[k];
sum2 += m_molefracs[k] / m_cond[k];
}
m_lambda = 0.5*(sum1 + 1.0/sum2);
}
return m_lambda;
}
/****************** thermal diffusion coefficients ************/
/**
* Thermal diffusion is not considered in this mixture-averaged
* model. To include thermal diffusion, use transport manager
* MultiTransport instead. This methods fills out array dt with
* zeros.
*/
void LiquidTransport::getThermalDiffCoeffs(doublereal* dt) {
int k;
for (k = 0; k < m_nsp; k++) {
dt[k] = 0.0;
}
}
/**
* @param ndim The number of spatial dimensions (1, 2, or 3).
* @param grad_T The temperature gradient (ignored in this model).
* @param ldx Leading dimension of the grad_X array.
* The diffusive mass flux of species \e k is computed from
*
* \f[
* \vec{j}_k = -n M_k D_k \nabla X_k.
* \f]
*/
void LiquidTransport::getSpeciesFluxes(int ndim,
doublereal* grad_T,
int ldx, const doublereal* grad_X,
int ldf, doublereal* fluxes) {
set_Grad_T(grad_T);
set_Grad_X(grad_X);
getSpeciesFluxesExt(ldf, fluxes);
}
/**
* @param ndim The number of spatial dimensions (1, 2, or 3).
* @param grad_T The temperature gradient (ignored in this model).
* @param ldx Leading dimension of the grad_X array.
* The diffusive mass flux of species \e k is computed from
*
* \f[
* \vec{j}_k = -n M_k D_k \nabla X_k.
* \f]
*/
void LiquidTransport::getSpeciesFluxesExt(int ldf, doublereal* fluxes) {
int n, k;
update_T();
update_C();
getMixDiffCoeffs(DATA_PTR(m_spwork));
const array_fp& mw = m_thermo->molecularWeights();
const doublereal* y = m_thermo->massFractions();
doublereal rhon = m_thermo->molarDensity();
// Unroll wrt ndim
vector_fp sum(m_nDim,0.0);
for (n = 0; n < m_nDim; n++) {
for (k = 0; k < m_nsp; k++) {
fluxes[n*ldf + k] = -rhon * mw[k] * m_spwork[k] * m_Grad_X[n*m_nsp + k];
sum[n] += fluxes[n*ldf + k];
}
}
// add correction flux to enforce sum to zero
for (n = 0; n < m_nDim; n++) {
for (k = 0; k < m_nsp; k++) {
fluxes[n*ldf + k] -= y[k]*sum[n];
}
}
}
/**
* Mixture-averaged diffusion coefficients [m^2/s].
*
* For the single species case or the pure fluid case
* the routine returns the self-diffusion coefficient.
* This is need to avoid a Nan result in the formula
* below.
*/
void LiquidTransport::getMixDiffCoeffs(doublereal* d) {
update_T();
update_C();
// update the binary diffusion coefficients if necessary
if (!m_bindiff_ok) updateDiff_T();
int k, j;
doublereal mmw = m_thermo->meanMolecularWeight();
doublereal sumxw = 0.0, sum2;
doublereal p = m_press;
if (m_nsp == 1) {
d[0] = m_bdiff(0,0) / p;
} else {
for (k = 0; k < m_nsp; k++) sumxw += m_molefracs[k] * m_mw[k];
for (k = 0; k < m_nsp; k++) {
sum2 = 0.0;
for (j = 0; j < m_nsp; j++) {
if (j != k) {
sum2 += m_molefracs[j] / m_bdiff(j,k);
}
}
if (sum2 <= 0.0) {
d[k] = m_bdiff(k,k) / p;
} else {
d[k] = (sumxw - m_molefracs[k] * m_mw[k])/(p * mmw * sum2);
}
}
}
}
// Handles the effects of changes in the Temperature, internally
// within the object.
/*
* This is called whenever a transport property is
* requested.
* The first task is to check whether the temperature has changed
* since the last call to update_T().
* If it hasn't then an immediate return is carried out.
*
* @internal
*/
void LiquidTransport::update_T()
{
doublereal t = m_thermo->temperature();
if (t == m_temp) return;
if (t < 0.0) {
throw CanteraError("LiquidTransport::update_T",
"negative temperature "+fp2str(t));
}
// Compute various functions of temperature
m_temp = t;
m_logt = log(m_temp);
m_kbt = Boltzmann * m_temp;
m_sqrt_t = sqrt(m_temp);
m_t14 = sqrt(m_sqrt_t);
m_t32 = m_temp * m_sqrt_t;
m_sqrt_kbt = sqrt(Boltzmann*m_temp);
// compute powers of log(T)
m_polytempvec[0] = 1.0;
m_polytempvec[1] = m_logt;
m_polytempvec[2] = m_logt*m_logt;
m_polytempvec[3] = m_logt*m_logt*m_logt;
m_polytempvec[4] = m_logt*m_logt*m_logt*m_logt;
// temperature has changed, so polynomial temperature
// interpolations will need to be reevaluated.
// Set all of these flags to false
m_viscmix_ok = false;
m_spvisc_ok = false;
m_viscwt_ok = false;
m_spcond_ok = false;
m_diffmix_ok = false;
m_bindiff_ok = false;
m_condmix_ok = false;
// For now, for a concentration redo also
m_iStateMF = -1;
}
/**
* @internal This is called the first time any transport property
* is requested from Mixture after the concentrations
* have changed.
*/
void LiquidTransport::update_C()
{
doublereal pres = m_thermo->pressure();
// Check for changes in the mole fraction vector.
int iStateNew = m_thermo->getIStateMF();
if (iStateNew == m_iStateMF) {
if (pres == m_press) {
return;
}
} else {
m_iStateMF = iStateNew;
}
m_press = pres;
// signal that concentration-dependent quantities will need to
// be recomputed before use, and update the local mole
// fractions.
m_viscmix_ok = false;
m_diffmix_ok = false;
m_condmix_ok = false;
m_thermo->getMoleFractions(DATA_PTR(m_molefracs));
// add an offset to avoid a pure species condition or
// negative mole fractions. MIN_X is 1.0E-20, a value
// which is below the additive machine precision of mole fractions.
int k;
for (k = 0; k < m_nsp; k++) {
m_molefracs[k] = fmaxx(MIN_X, m_molefracs[k]);
}
}
/*************************************************************************
*
* methods to update temperature-dependent properties
*
*************************************************************************/
/**
* Update the temperature-dependent parts of the mixture-averaged
* thermal conductivity.
*/
void LiquidTransport::updateCond_T() {
int k;
if (m_mode == CK_Mode) {
for (k = 0; k < m_nsp; k++) {
m_cond[k] = exp(dot4(m_polytempvec, m_condcoeffs[k]));
}
}
else {
for (k = 0; k < m_nsp; k++) {
m_cond[k] = m_sqrt_t*dot5(m_polytempvec, m_condcoeffs[k]);
}
}
m_spcond_ok = true;
m_condmix_ok = false;
}
/**
* Update the binary diffusion coefficients. These are evaluated
* from the polynomial fits at unit pressure (1 Pa).
*/
void LiquidTransport::updateDiff_T() {
// evaluate binary diffusion coefficients at unit pressure
int i,j;
int ic = 0;
if (m_mode == CK_Mode) {
for (i = 0; i < m_nsp; i++) {
for (j = i; j < m_nsp; j++) {
m_bdiff(i,j) = exp(dot4(m_polytempvec, m_diffcoeffs[ic]));
m_bdiff(j,i) = m_bdiff(i,j);
ic++;
}
}
}
else {
for (i = 0; i < m_nsp; i++) {
for (j = i; j < m_nsp; j++) {
m_bdiff(i,j) = m_temp * m_sqrt_t*dot5(m_polytempvec,
m_diffcoeffs[ic]);
m_bdiff(j,i) = m_bdiff(i,j);
ic++;
}
}
}
m_bindiff_ok = true;
m_diffmix_ok = false;
}
/**
* Update the pure-species viscosities.
*/
void LiquidTransport::updateSpeciesViscosities() {
int k;
if (m_mode == CK_Mode) {
for (k = 0; k < m_nsp; k++) {
m_visc[k] = exp(dot4(m_polytempvec, viscCoeffsVector_[k]));
m_sqvisc[k] = sqrt(m_visc[k]);
}
}
else {
for (k = 0; k < m_nsp; k++) {
// the polynomial fit is done for sqrt(visc/sqrt(T))
m_sqvisc[k] = m_t14*dot5(m_polytempvec, viscCoeffsVector_[k]);
m_visc[k] = (m_sqvisc[k]*m_sqvisc[k]);
}
}
m_spvisc_ok = true;
}
/**
* Update the temperature-dependent viscosity terms.
* Updates the array of pure species viscosities, and the
* weighting functions in the viscosity mixture rule.
* The flag m_visc_ok is set to true.
*/
void LiquidTransport::updateViscosity_T() {
doublereal vratiokj, wratiojk, factor1;
if (!m_spvisc_ok) updateSpeciesViscosities();
// see Eq. (9-5.15) of Reid, Prausnitz, and Poling
int j, k;
for (j = 0; j < m_nsp; j++) {
for (k = j; k < m_nsp; k++) {
vratiokj = m_visc[k]/m_visc[j];
wratiojk = m_mw[j]/m_mw[k];
// Note that m_wratjk(k,j) holds the square root of
// m_wratjk(j,k)!
factor1 = 1.0 + (m_sqvisc[k]/m_sqvisc[j]) * m_wratjk(k,j);
m_phi(k,j) = factor1*factor1 /
(SqrtEight * m_wratkj1(j,k));
m_phi(j,k) = m_phi(k,j)/(vratiokj * wratiojk);
}
}
m_viscwt_ok = true;
}
/**
* This function returns a Transport data object for a given species.
*
*/
struct GasTransportData LiquidTransport::
getGasTransportData(int kSpecies)
{
struct GasTransportData td;
td.speciesName = m_thermo->speciesName(kSpecies);
td.wellDepth = m_eps[kSpecies] / Boltzmann;
td.diameter = m_diam(kSpecies, kSpecies) * 1.0E10;
td.polarizability = m_alpha[kSpecies] * 1.0E30;
return td;
}
/*
*
* Solve for the diffusional velocities in the Stefan-Maxwell equations
*
*/
void LiquidTransport::stefan_maxwell_solve() {
int i, j, a;
int VIM = 2;
m_B.resize(m_nsp, VIM);
//! grab a local copy of the molecular weights
const vector_fp& M = m_thermo->molecularWeights();
//! get the mean molecular weight of the mixture
//double M_mix = m_thermo->meanMolecularWeight();
//! get the concentration of the mixture
//double rho = m_thermo->density();
//double c = rho/M_mix;
m_thermo->getMoleFractions(DATA_PTR(m_molefracs));
double T = m_thermo->temperature();
/* electrochemical potential gradient */
for (i = 0; i < m_nsp; i++) {
for (a = 0; a < VIM; a++) {
m_Grad_mu[a*m_nsp + i] = m_chargeSpecies[i] * Faraday * m_Grad_V[a]
+ (GasConstant*T/m_molefracs[i]) * m_Grad_X[a*m_nsp+i];
}
}
/*
* Just for Note, m_A(i,j) refers to the ith row and jth column.
* They are still fortran ordered, so that i varies fastest.
*/
switch ( VIM ) {
case 1: /* 1-D approximation */
m_B(0,0) = 0.0;
for (j = 0; j < m_nsp; j++) {
m_A(0,j) = 1.0;
}
for (i = 1; i < m_nsp; i++){
m_B(i,0) = m_concentrations[i] * m_Grad_mu[i] / (GasConstant * T);
for (j = 0; j < m_nsp; j++){
if (j != i) {
m_A(i,j) = m_molefracs[i] / ( M[j] * m_DiffCoeff_StefMax(i,j));
m_A(i,i) -= m_molefracs[j] / ( M[i] * m_DiffCoeff_StefMax(i,j));
}
else if (j == i) {
m_A(i,i) = 0.0;
}
}
}
//! invert and solve the system Ax = b. Answer is in m_B
solve(m_A, m_B.ptrColumn(0));
m_flux = m_B;
break;
case 2: /* 2-D approximation */
m_B(0,0) = 0.0;
m_B(0,1) = 0.0;
for (j = 0; j < m_nsp; j++) {
m_A(0,j) = 1.0;
}
for (i = 1; i < m_nsp; i++){
m_B(i,0) = m_concentrations[i] * m_Grad_mu[i] / (GasConstant * T);
m_B(i,1) = m_concentrations[i] * m_Grad_mu[m_nsp + i] / (GasConstant * T);
for (j = 0; j < m_nsp; j++){
if (j != i) {
m_A(i,j) = m_molefracs[i] / ( M[j] * m_DiffCoeff_StefMax(i,j));
m_A(i,i) -= m_molefracs[j] / ( M[i] * m_DiffCoeff_StefMax(i,j));
}
else if (j == i) {
m_A(i,i) = 0.0;
}
}
}
//! invert and solve the system Ax = b. Answer is in m_B
solve(m_A, m_B);
m_flux = m_B;
break;
case 3: /* 3-D approximation */
m_B(0,0) = 0.0;
m_B(0,1) = 0.0;
m_B(0,2) = 0.0;
for (j = 0; j < m_nsp; j++) {
m_A(0,j) = 1.0;
}
for (i = 1; i < m_nsp; i++){
m_B(i,0) = m_concentrations[i] * m_Grad_mu[i] / (GasConstant * T);
m_B(i,1) = m_concentrations[i] * m_Grad_mu[m_nsp + i] / (GasConstant * T);
m_B(i,2) = m_concentrations[i] * m_Grad_mu[2*m_nsp + i] / (GasConstant * T);
for (j = 0; j < m_nsp; j++){
if (j != i) {
m_A(i,j) = m_molefracs[i] / ( M[j] * m_DiffCoeff_StefMax(i,j));
m_A(i,i) -= m_molefracs[j] / ( M[i] * m_DiffCoeff_StefMax(i,j));
}
else if (j == i) {
m_A(i,i) = 0.0;
}
}
}
//! invert and solve the system Ax = b. Answer is in m_B
solve(m_A, m_B);
m_flux = m_B;
break;
default:
printf("uninmplemetnd\n");
throw CanteraError("routine", "not done");
break;
}
}
}

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@ -0,0 +1,634 @@
/**
*
* @file LiquidTransport.h
* Header file defining class LiquidTransport
*/
/*
* $Revision$
* $Date$
*/
#ifndef CT_LIQUIDTRAN_H
#define CT_LIQUIDTRAN_H
// STL includes
#include <vector>
#include <string>
#include <map>
#include <numeric>
#include <algorithm>
using namespace std;
// Cantera includes
#include "TransportBase.h"
#include "DenseMatrix.h"
#include "LiquidTransportParams.h"
namespace Cantera {
const int LVISC_CONSTANT = 0;
const int LVISC_WILKES = 1;
class TransportParams;
//! Class LiquidTransport implements mixture-averaged transport
//! properties for liquid phases.
/*!
* The model is based on that
* described by Newman, Electrochemical Systems
*
* The velocity of species i may be described by the
* following equation p. 297 (12.1)
*
* \f[
* c_i \nabla \mu_i = R T \sum_j \frac{c_i c_j}{c_T D_{ij}}
* (\mathbf{v}_j - \mathbf{v}_i)
* \f]
*
* This as written is degenerate by 1 dof.
*
* To fix this we must add in the definition of the mass averaged
* velocity of the solution. We will call the simple bold-faced
* \f$\mathbf{v} \f$
* symbol the mass-averaged velocity. Then, the relation
* between \f$\mathbf{v}\f$ and the individual species velocities is
* \f$\mathbf{v}_i\f$
*
* \f[
* \rho_i \mathbf{v}_i = \rho_i \mathbf{v} + \mathbf{j}_i
* \f]
* where \f$\mathbf{j}_i\f$ are the diffusional fluxes of species i
* with respect to the mass averaged velocity and
*
* \f[
* \sum_i \mathbf{j}_i = 0
* \f]
*
* and
*
* \f[
* \sum_i \rho_i \mathbf{v}_i = \rho \mathbf{v}
* \f]
*
* Using these definitions, we can write
*
* \f[
* \mathbf{v}_i = \mathbf{v} + \frac{\mathbf{j}_i}{\rho_i}
* \f]
*
*
* \f[
* c_i \nabla \mu_i = R T \sum_j \frac{c_i c_j}{c_T D_{ij}}
* (\frac{\mathbf{j}_j}{\rho_j} - \frac{\mathbf{j}_i}{\rho_i})
* = R T \sum_j \frac{1}{D_{ij}}
* (\frac{x_i \mathbf{j}_j}{M_j} - \frac{x_j \mathbf{j}_i}{M_i})
* \f]
*
* The equations that we actually solve are
*
* \f[
* c_i \nabla \mu_i =
* = R T \sum_j \frac{1}{D_{ij}}
* (\frac{x_i \mathbf{j}_j}{M_j} - \frac{x_j \mathbf{j}_i}{M_i})
* \f]
* and we replace the 0th equation with the following:
*
* \f[
* \sum_i \mathbf{j}_i = 0
* \f]
*
* When there are charged species, we replace the rhs with the
* gradient of the electrochemical potential to obtain the
* modified equation
*
* \f[
* c_i \nabla \mu_i + c_i F z_i \nabla \Phi
* = R T \sum_j \frac{1}{D_{ij}}
* (\frac{x_i \mathbf{j}_j}{M_j} - \frac{x_j \mathbf{j}_i}{M_i})
* \f]
*
* With this formulation we may solve for the diffusion velocities,
* without having to worry about what the mass averaged velocity
* is.
*
* <H2> Viscosity Calculation </H2>
*
* The viscosity calculation may be broken down into two parts.
* In the first part, the viscosity of the pure species are calculated
* In the second part, a mixing rule is applied, based on the
* Wilkes correlation, to yield the mixture viscosity.
*
*
*
*/
class LiquidTransport : public Transport {
public:
//! virtual destructor
virtual ~LiquidTransport() {}
//! Return the model id for this transport parameterization
virtual int model() { return cLiquidTransport; }
//! overloaded base class methods
//! Returns the viscosity of the solution
/*!
* The viscosity is computed using the Wilke mixture rule.
* \f[
* \mu = \sum_k \frac{\mu_k X_k}{\sum_j \Phi_{k,j} X_j}.
* \f]
* Here \f$ \mu_k \f$ is the viscosity of pure species \e k,
* and
* \f[
* \Phi_{k,j} = \frac{\left[1
* + \sqrt{\left(\frac{\mu_k}{\mu_j}\sqrt{\frac{M_j}{M_k}}\right)}\right]^2}
* {\sqrt{8}\sqrt{1 + M_k/M_j}}
* \f]
* @see updateViscosity_T();
*
* Controlling update boolean m_viscmix_ok
*/
virtual doublereal viscosity();
//! Returns the pure species viscosities
/*!
*
* Controlling update boolean = m_viscwt_ok
*/
virtual void getSpeciesViscosities(doublereal* visc)
{ updateViscosity_T(); copy(m_visc.begin(), m_visc.end(), visc); }
virtual void getThermalDiffCoeffs(doublereal* dt);
//! Return the thermal conductivity of the solution
/*!
* The thermal conductivity is computed from the following mixture rule:
* \f[
* \lambda = 0.5 \left( \sum_k X_k \lambda_k
* + \frac{1}{\sum_k X_k/\lambda_k}\right)
* \f]
*
* Controlling update boolean = m_condmix_ok
*/
virtual doublereal thermalConductivity();
//! Returns the binary diffusion coefficients
/*!
* @param ld
* @param d
*/
virtual void getBinaryDiffCoeffs(int ld, doublereal* d);
//! Get the Mixture diffusion coefficients
/*!
* @param d vector of mixture diffusion coefficients
* units = m2 s-1. length = number of species
*/
virtual void getMixDiffCoeffs(doublereal* d);
//! Get the Mobilities
/*!
* @param mobil
*/
virtual void getMobilities(doublereal* mobil);
//! Specify the value of the gradient of the voltage
/*!
*
* @param grad_V Gradient of the voltage (length num dimensions);
*/
virtual void set_Grad_V(const doublereal* grad_V);
//! Specify the value of the gradient of the temperature
/*!
*
* @param grad_V Gradient of the temperature (length num dimensions);
*/
virtual void set_Grad_T(const doublereal* grad_T);
//! Specify the value of the gradient of the MoleFractions
/*!
*
* @param grad_X Gradient of the mole fractions(length nsp * num dimensions);
*/
virtual void set_Grad_X(const doublereal* grad_X);
//! Handles the effects of changes in the Temperature, internally
//! within the object.
/*!
* This is called whenever a transport property is
* requested.
* The first task is to check whether the temperature has changed
* since the last call to update_T().
* If it hasn't then an immediate return is carried out.
*
* @internal
*/
virtual void update_T();
//! Handles the effects of changes in the mixture concentration
/*!
* This is called the first time any transport property
* is requested from Mixture after the concentrations
* have changed.
*
* @internal
*/
virtual void update_C();
/**
* @param ndim The number of spatial dimensions (1, 2, or 3).
* @param grad_T The temperature gradient (ignored in this model).
* @param ldx Leading dimension of the grad_X array.
* The diffusive mass flux of species \e k is computed from
*
*
*/
virtual void getSpeciesFluxes(int ndim,
doublereal* grad_T,
int ldx, const doublereal* grad_X,
int ldf, doublereal* fluxes);
/**
* @param ndim The number of spatial dimensions (1, 2, or 3).
* @param grad_T The temperature gradient (ignored in this model).
* @param ldx Leading dimension of the grad_X array.
* The diffusive mass flux of species \e k is computed from
*
*
*/
virtual void getSpeciesFluxesExt(int ldf, doublereal* fluxes);
//! Initialize the transport object
/*!
* Here we change all of the internal dimensions to be sufficient.
* We get the object ready to do property evaluations.
*
* @param tr Transport parameters for all of the species
* in the phase.
*/
virtual bool init(LiquidTransportParams& tr);
friend class TransportFactory;
/**
* Return a structure containing all of the pertinent parameters
* about a species that was used to construct the Transport
* properties in this object.
*
* @param k Species number to obtain the properties about.
*/
struct GasTransportData getGasTransportData(int k);
//! Solve the stefan_maxell equations for the diffusive fluxes.
void stefan_maxwell_solve();
protected:
//! default constructor
LiquidTransport();
private:
//! Number of species in the mixture
int m_nsp;
//! Minimum temperature applicable to the transport property eval
doublereal m_tmin;
//! Maximum temperature applicable to the transport property evaluator
doublereal m_tmax;
//! Local Copy of the molecular weights of the species
/*!
* Length is Equal to the number of species in the mechanism.
*/
vector_fp m_mw;
// polynomial fits
vector<vector<int> > m_poly;
//! Polynomial coefficients of the viscosity
/*!
* These express the temperature dependendence of the pures
* species viscosities.
*/
std::vector<vector_fp> viscCoeffsVector_;
//! Polynomial coefficients of the conductivities
/*!
* These express the temperature dependendence of the pures
* species conductivities
*/
vector<vector_fp> m_condcoeffs;
//! Polynomial coefficients of the binary diffusion coefficients
/*!
* These express the temperature dependendence of the
* binary diffusivities. An overall pressure dependence is then
* added.
*/
vector<vector_fp> m_diffcoeffs;
//! Internal value of the gradient of the mole fraction vector
/*!
* m_nsp is the number of species in the fluid
* k is the species index
* n is the dimensional index (x, y, or z). It has a length
* equal to m_nDim
*
* m_Grad_X[n*m_nsp + k]
*/
vector_fp m_Grad_X;
//! Internal value of the gradient of the Temperature vector
/*!
* Generally, if a transport property needs this
* in its evaluation it will look to this place
* to get it.
*
* No internal property is precalculated based on gradients.
* Gradients are assumed to be freshly updated before
* every property call.
*/
vector_fp m_Grad_T;
//! Internal value of the gradient of the Electric Voltage
/*!
* Generally, if a transport property needs this
* in its evaluation it will look to this place
* to get it.
*
* No internal property is precalculated based on gradients.
* Gradients are assumed to be freshly updated before
* every property call.
*/
vector_fp m_Grad_V;
//! Gradient of the electrochemical potential
/*!
* m_nsp is the number of species in the fluid
* k is the species index
* n is the dimensional index (x, y, or z)
*
* m_Grad_mu[n*m_nsp + k]
*/
vector_fp m_Grad_mu;
// property values
//! Array of Binary Diffusivities
/*!
* This has a size equal to nsp x nsp
* It is a symmetric matrix.
* D_ii is undefined.
*
* units m2/sec
*/
DenseMatrix m_bdiff;
//! Species viscosities
/*!
* Viscosity of the species
* Length = number of species
*
* Depends on the temperature and perhaps pressure, but
* not the species concentrations
*
* controlling update boolean -> m_spvisc_ok
*/
vector_fp m_visc;
//! Sqrt of the species viscosities
/*!
* The sqrt(visc) is used in the mixing formulas
* Length = m_nsp
*
* Depends on the temperature and perhaps pressure, but
* not the species concentrations
*
* controlling update boolean m_spvisc_ok
*/
vector_fp m_sqvisc;
//! Internal value of the species individual thermal conductivities
/*!
* Then a mixture rule is applied to get the solution conductivities
*
* Depends on the temperature and perhaps pressure, but
* not the species concentrations
*
* controlling update boolean -> m_spcond_ok
*/
vector_fp m_cond;
//! Polynomials of the log of the temperature
vector_fp m_polytempvec;
//! State of the mole fraction vector.
int m_iStateMF;
//! Local copy of the mole fractions of the species in the phase
/*!
* Update info?
* length = m_nsp
*/
vector_fp m_molefracs;
//! Local copy of the concentrations of the species in the phase
/*!
* Update info?
* length = m_nsp
*/
vector_fp m_concentrations;
//! Local copy of the charge of each species
/*!
* Contains the charge of each species (length m_nsp)
*/
vector_fp m_chargeSpecies;
//! Stefan-Maxwell Diffusion Coefficients at T, P and C
/*!
* These diffusion coefficients are considered to be
* a function of Temperature, Pressure, and Concentration.
*/
DenseMatrix m_DiffCoeff_StefMax;
//! Viscosity model
/*!
*
*/
int viscosityModel_;
//! viscosity weighting functions
DenseMatrix m_phi;
//! Matrix of the ratios of the species molecular weights
/*!
* m_wratjk(i,j) = (m_mw[j]/m_mw[k])**0.25
*/
DenseMatrix m_wratjk;
//! Matrix of the ratios of the species molecular weights
/*!
* m_wratkj1(i,j) = (1.0 + m_mw[k]/m_mw[j])**0.5
*/
DenseMatrix m_wratkj1;
//! RHS to the stefan-maxwell equation
Array2D m_B;
//! Matrix for the stefan maxwell equation.
DenseMatrix m_A;
//! Internal storage for the species LJ well depth
vector_fp m_eps;
//! Internal storage for species polarizability
vector_fp m_alpha;
//! Current Temperature -> locally storred
/*!
* This is used to test whether new temperature computations
* should be performed.
*/
doublereal m_temp;
//! Current log(T)
doublereal m_logt;
//! Current value of kT
doublereal m_kbt;
//! Current Temperature **0.5
doublereal m_sqrt_t;
//! Current Temperature **0.25
doublereal m_t14;
//! Current Temperature **1.5
doublereal m_t32;
//! Current temperature function
/*!
* This is equal to sqrt(Boltzmann * T)
*/
doublereal m_sqrt_kbt;
//! Current value of the pressure
doublereal m_press;
//! Solution of the flux system
Array2D m_flux;
//! saved value of the mixture thermal conductivity
doublereal m_lambda;
//! Saved value of the mixture viscosity
doublereal m_viscmix;
// work space
vector_fp m_spwork;
//! Internal Function
//! Update the temperature-dependent viscosity terms.
//! Updates the array of pure species viscosities, and the
//! weighting functions in the viscosity mixture rule.
/*!
* The flag m_visc_ok is set to true.
*/
void updateViscosity_T();
//! Update the temperature-dependent parts of the mixture-averaged
//! thermal conductivity.
void updateCond_T();
//! Update the species viscosities
/*!
* Internal routine is run whenever the update_boolean
* m_spvisc_ok is false. This routine will calculate
* internal values for the species viscosities.
*
* @internal
*/
void updateSpeciesViscosities();
//! Update the binary diffusion coefficients wrt T.
/*!
* These are evaluated
* from the polynomial fits at unit pressure (1 Pa).
*/
void updateDiff_T();
//! Boolean indicating that mixture viscosity is current
bool m_viscmix_ok;
//! Boolean indicating that weight factors wrt viscosity is current
bool m_viscwt_ok;
//! Flag to indicate that the pure species viscosities
//! are current wrt the temperature
bool m_spvisc_ok;
//! Boolean indicating that mixture diffusion coeffs are current
bool m_diffmix_ok;
//! Boolean indicating that binary diffusion coeffs are current
bool m_bindiff_ok;
//! Flag to indicate that the pure species conductivities
//! are current wrt the temperature
bool m_spcond_ok;
//! Boolean indicating that mixture conductivity is current
bool m_condmix_ok;
//! Mode for fitting the species viscosities
/*!
* Either its CK_Mode or its cantera mode
* in CK_Mode visc is fitted to a polynomial
* in Cantera mode sqrt(visc) is fitted.
*/
int m_mode;
//! Internal storage for the diameter - diameter
//! species interactions
DenseMatrix m_diam;
//! Debugging flags
/*!
* Turn on to get debugging information
*/
bool m_debug;
//! Number of dimensions
/*!
* Either 1, 2, or 3
*/
int m_nDim;
};
}
#endif

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@ -0,0 +1,62 @@
#ifndef CT_LIQUIDTRANSPORTPARAMS_H
#define CT_LIQUIDTRANSPORTPARAMS_H
#include <vector>
#include "ct_defs.h"
#include "TransportBase.h"
#include "xml.h"
#include "XML_Writer.h"
namespace Cantera {
/**
*
* Holds transport data. Used by TransportFactory.
*
*/
class LiquidTransportParams {
public:
LiquidTransportParams() : thermo(0), xml(0) {}
virtual ~LiquidTransportParams();
int nsp;
// phase_t* mix;
thermo_t* thermo;
vector_fp mw;
// polynomial fits
std::vector<vector_fp> viscCoeffsVector_;
std::vector<vector_fp> condcoeffs;
std::vector<vector_fp> diffcoeffs;
vector_fp polytempvec;
std::vector<std::vector<int> > poly;
std::vector<vector_fp > omega22_poly;
std::vector<vector_fp > astar_poly;
std::vector<vector_fp > bstar_poly;
std::vector<vector_fp > cstar_poly;
vector_fp zrot;
vector_fp crot;
std::vector<bool> polar;
vector_fp alpha;
vector_fp fitlist;
vector_fp eps;
vector_fp sigma;
DenseMatrix reducedMass;
DenseMatrix diam;
DenseMatrix epsilon;
DenseMatrix dipole;
DenseMatrix delta;
doublereal tmax, tmin;
int mode;
XML_Writer* xml;
int log_level;
};
}
#endif

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@ -32,10 +32,11 @@ CXX_FLAGS = @CXXFLAGS@ $(CXX_OPT) $(PIC_FLAG) $(DEBUG_FLAG)
# Transport Object Files
OBJS = TransportFactory.o MultiTransport.o MixTransport.o MMCollisionInt.o \
SolidTransport.o DustyGasTransport.o
SolidTransport.o DustyGasTransport.o LiquidTransport.o
TRAN_H = TransportFactory.h MultiTransport.h MixTransport.h \
MMCollisionInt.h SolidTransport.h DustyGasTransport.h \
TransportBase.h L_matrix.h TransportParams.h
TransportBase.h L_matrix.h TransportParams.h LiquidTransport.h
CXX_INCLUDES = -I../base -I../thermo -I../numerics @CXX_INCLUDES@
LIB = @buildlib@/libtransport.a

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@ -112,6 +112,14 @@ namespace Cantera {
const doublereal* grad_X,
int ldf, doublereal* fluxes);
//! Initialize the transport object
/*!
* Here we change all of the internal dimensions to be sufficient.
* We get the object ready to do property evaluations.
*
* @param tr Transport parameters for all of the species
* in the phase.
*/
virtual bool init(TransportParams& tr);
friend class TransportFactory;

View file

@ -43,6 +43,7 @@ namespace Cantera {
const int cUserTransport = 500;
const int cFtnTransport = 600;
const int cLiquidTransport = 700;
const int cAqueousTransport = 750;
const int cRadiativeTransport = 800;
// forward reference

View file

@ -21,6 +21,8 @@
#include "SolidTransport.h"
#include "DustyGasTransport.h"
#include "LiquidTransport.h"
#include "AqueousTransport.h"
#include "TransportFactory.h"
@ -299,6 +301,7 @@ namespace Cantera {
if (transportModel == "") return new Transport;
vector_fp state;
Transport *tr = 0, *gastr = 0;
DustyGasTransport* dtr = 0;
@ -334,15 +337,24 @@ namespace Cantera {
dtr = (DustyGasTransport*)tr;
dtr->initialize(phase, gastr);
break;
case cLiquidTransport:
tr = new LiquidTransport;
tr->setThermo(*phase);
break;
case cAqueousTransport:
tr = new AqueousTransport;
tr->setThermo(*phase);
break;
default:
throw CanteraError("newTransport","unknown transport model");
}
phase->restoreState(state);
return tr;
}
/**
/**
* Prepare to build a new kinetic-theory-based transport manager
* for low-density gases. Uses polynomial fits to Monchick & Mason
* collision integrals.