Note
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Catalytic combustion of a stagnation flow on a platinum surface#
This script solves a catalytic combustion problem. A stagnation flow is set up, with a gas inlet 10 cm from a platinum surface at 900 K. The lean, premixed methane/air mixture enters at ~ 6 cm/s (0.06 kg/m2/s), and burns catalytically on the platinum surface. Gas-phase chemistry is included too, and has some effect very near the surface.
The catalytic combustion mechanism is from Deutschmann et al., 26th Symp. (Intl.) on Combustion,1996 pp. 1747-1754
Initialization#
help catcomb;
clear all
close all
t0 = cputime; % record the starting time
Set parameter values#
p = OneAtm; % pressure
tinlet = 300.0; % inlet temperature
tsurf = 900.0; % surface temperature
mdot = 0.06; % kg/m^2/s
transport = 'mixture-averaged'; % transport model
Solve first for a hydrogen/air case for use as the initial estimate for the methane/air case.
% composition of the inlet premixed gas for the hydrogen/air case
comp1 = 'H2:0.05, O2:0.21, N2:0.78, AR:0.01';
% composition of the inlet premixed gas for the methane/air case
comp2 = 'CH4:0.095, O2:0.21, N2:0.78, AR:0.01';
% the initial grid, in meters. The inlet/surface separation is 10 cm.
initial_grid = [0.0, 0.02, 0.04, 0.06, 0.08, 0.1]; % m
% numerical parameters
tol_ss = {1.0e-8 1.0e-14}; % {rtol atol} for steady-state problem
tol_ts = {1.0e-4 1.0e-9}; % {rtol atol} for time stepping
loglevel = 1; % amount of diagnostic output (0 to 5)
refine_grid = 1; % 1 to enable refinement, 0 to disable
Create the gas object#
This object will be used to evaluate all thermodynamic, kinetic, and transport properties
The gas phase will be taken from the definition of phase gas
in
input file ptcombust.yaml
, which is a stripped-down version of
GRI-Mech 3.0.
gas = Solution('ptcombust.yaml', 'gas', transport);
gas.TPX = {tinlet, p, comp1};
Create the interface object#
This object will be used to evaluate all surface chemical production
rates. It will be created from the interface definition Pt_surf
in input file ptcombust.yaml
, which implements the reaction
mechanism of Deutschmann et al., 1995 for catalytic combustion on
platinum.
surf_phase = Interface('ptcombust.yaml', 'Pt_surf', gas);
surf_phase.TP = {tsurf, surf_phase.P};
Integrate the coverage equations in time for 1 s, holding the gas composition fixed to generate a good starting estimate for the coverages.
surf_phase.advanceCoverages(1.0);
The two objects we just created are independent of the problem type – they are useful in zero-D simulations, 1-D simulations, etc. Now we turn to creating the objects that are specifically for 1-D simulations. These will be ‘stacked’ together to create the complete simulation.
Create the flow object#
The flow object is responsible for evaluating the 1D governing
equations for the flow. We will initialize it with the gas
object, and assign it the name flow
.
flow = AxisymmetricFlow(gas, 'flow');
% set some parameters for the flow
flow.P = p;
flow.setupGrid(initial_grid);
flow.setSteadyTolerances('default', tol_ss{:});
flow.setTransientTolerances('default', tol_ts{:});
Create the inlet#
The temperature, mass flux, and composition (relative molar) may be specified. This object provides the inlet boundary conditions for the flow equations.
inlt = Inlet(gas, 'inlet');
% set the inlet parameters. Start with comp1 (hydrogen/air)
inlt.T = tinlet;
inlt.massFlux = mdot;
inlt.setMoleFractions(comp1);
Create the surface#
This object provides the surface boundary conditions for the flow
equations. By supplying object surface_phase
as an argument, the
coverage equations for its surface species will be added to the
equation set, and used to compute the surface production rates of
the gas-phase species.
surf = ReactingSurface(surf_phase, 'surface');
surf.T = tsurf;
Create the stack#
Once the component parts have been created, they can be assembled to create the 1D simulation.
stack = Sim1D({inlt, flow, surf});
% set the initial profiles.
stack.setProfile(2, {'velocity', 'spread_rate', 'T'}, ...
[0.0, 1.0 % z/zmax
0.06, 0.0 % u
0.0, 0.0 % V
tinlet, tsurf]); % T
names = gas.speciesNames;
for k = 1:gas.nSpecies
y = inlt.massFraction(k);
stack.setProfile(2, names{k}, [0, 1; y, y]);
end
stack.setTimeStep(1.0e-5, [1, 3, 6, 12]);
stack.setMaxJacAge(4, 5);
Solution#
Start with the energy equation on
flow.energyEnabled = true;
Disable the surface coverage equations, and turn off all gas and surface chemistry
surf.coverageEnabled = false;
surf_phase.setMultiplier(0.0);
gas.setMultiplier(0.0);
Solve the problem, refining the grid if needed
stack.solve(1, refine_grid);
Now turn on the surface coverage equations, and turn the chemistry on slowly
surf.coverageEnabled = true;
for iter = 1:6
mult = 10.0^(iter - 6);
surf_phase.setMultiplier(mult);
gas.setMultiplier(mult);
stack.solve(1, refine_grid);
end
At this point, we should have the solution for the hydrogen/air problem. Now switch the inlet to the methane/air composition.
inlt.setMoleFractions(comp2);
Set more stringent grid refinement criteria
stack.setRefineCriteria(2, 100.0, 0.15, 0.2);
Solve the problem for the final time
stack.solve(loglevel, refine_grid);
Show statistics#
stack.writeStats;
elapsed = cputime - t0;
e = sprintf('Elapsed CPU time: %10.4g', elapsed);
disp(e);
Make plots#
clf;
subplot(3, 3, 1);
plotSolution(stack, 'flow', 'T');
title('Temperature [K]');
subplot(3, 3, 2);
plotSolution(stack, 'flow', 'velocity');
title('Axial Velocity [m/s]');
subplot(3, 3, 3);
plotSolution(stack, 'flow', 'spread_rate');
title('Radial Velocity / Radius [1/s]');
subplot(3, 3, 4);
plotSolution(stack, 'flow', 'CH4');
title('CH4 Mass Fraction');
subplot(3, 3, 5);
plotSolution(stack, 'flow', 'O2');
title('O2 Mass Fraction');
subplot(3, 3, 6);
plotSolution(stack, 'flow', 'CO');
title('CO Mass Fraction');
subplot(3, 3, 7);
plotSolution(stack, 'flow', 'CO2');
title('CO2 Mass Fraction');
subplot(3, 3, 8);
plotSolution(stack, 'flow', 'H2O');
title('H2O Mass Fraction');
subplot(3, 3, 9);
plotSolution(stack, 'flow', 'H2');
title('H2 Mass Fraction');