2528df0f75
These changes make it unnecessary to copy header files around during the build process, which tends to confuse IDEs and debuggers. The headers which comprise Cantera's external C++ interface are now in the 'include' directory. All of the samples and demos are now in the 'samples' subdirectory.
126 lines
3.5 KiB
Matlab
126 lines
3.5 KiB
Matlab
% FLAME1 - A burner-stabilized flat flame
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%
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% This script simulates a burner-stablized lean hydrogen-oxygen flame
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% at low pressure.
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help flame1;
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%disp('press any key to begin the simulation');
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%pause;
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t0 = cputime; % record the starting time
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% parameter values
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p = 0.05*oneatm; % pressure
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tburner = 373.0; % burner temperature
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mdot = 0.06; % kg/m^2/s
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rxnmech = 'h2o2.cti'; % reaction mechanism file
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comp = 'H2:1.8, O2:1, AR:7'; % premixed gas composition
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initial_grid = [0.0 0.02 0.04 0.06 0.08 0.1 ...
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0.15 0.2 0.4 0.49 0.5]; % m
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tol_ss = [1.0e-5 1.0e-13]; % [rtol atol] for steady-state
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% problem
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tol_ts = [1.0e-4 1.0e-9]; % [rtol atol] for time stepping
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loglevel = 1; % amount of diagnostic output (0
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% to 5)
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refine_grid = 1; % 1 to enable refinement, 0 to
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% disable
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max_jacobian_age = [5, 10];
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%%%%%%%%%%%%%%%% create the gas object %%%%%%%%%%%%%%%%%%%%%%%%
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%
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% This object will be used to evaluate all thermodynamic, kinetic,
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% and transport properties
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%
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gas = IdealGasMix(rxnmech);
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% set its state to that of the unburned gas at the burner
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set(gas,'T', tburner, 'P', p, 'X', comp);
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%%%%%%%%%%%%%%%% create the flow object %%%%%%%%%%%%%%%%%%%%%%%
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f = AxisymmetricFlow(gas,'flow');
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set(f, 'P', p, 'grid', initial_grid);
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set(f, 'tol', tol_ss, 'tol-time', tol_ts);
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%%%%%%%%%%%%%%% create the burner %%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%
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% The burner is an Inlet object. The temperature, mass flux,
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% and composition (relative molar) may be specified.
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%
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burner = Inlet('burner');
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set(burner, 'T', tburner, 'MassFlux', mdot, 'X', comp);
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%%%%%%%%%%%%%% create the outlet %%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%
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% The type of flame is determined by the object that terminates
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% the domain. An Outlet object imposes zero gradient boundary
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% conditions for the temperature and mass fractions, and zero
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% radial velocity and radial pressure gradient.
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%
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s = Outlet('out');
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%%%%%%%%%%%%% create the flame object %%%%%%%%%%%%
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%
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% Once the component parts have been created, they can be assembled
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% to create the flame object.
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%
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fl = flame(gas, burner, f, s);
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setMaxJacAge(fl, max_jacobian_age(1), max_jacobian_age(2));
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% if the starting solution is to be read from a previously-saved
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% solution, uncomment this line and edit the file name and solution id.
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%restore(fl,'h2flame2.xml', 'energy')
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solve(fl, loglevel, refine_grid);
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%%%%%%%%%%%% enable the energy equation %%%%%%%%%%%%%%%%%%%%%
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%
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% The energy equation will now be solved to compute the
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% temperature profile. We also tighten the grid refinement
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% criteria to get an accurate final solution.
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%
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enableEnergy(f);
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setRefineCriteria(fl, 2, 200.0, 0.05, 0.1);
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solve(fl, 1, 1);
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saveSoln(fl,'h2fl.xml','energy',['solution with energy' ...
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' equation']);
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%%%%%%%%%% show statistics %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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writeStats(fl);
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elapsed = cputime - t0;
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e = sprintf('Elapsed CPU time: %10.4g',elapsed);
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disp(e);
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%%%%%%%%%% make plots %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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clf;
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subplot(2,2,1);
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plotSolution(fl, 'flow', 'T');
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title('Temperature [K]');
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subplot(2,2,2);
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plotSolution(fl, 'flow', 'u');
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title('Axial Velocity [m/s]');
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subplot(2,2,3);
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plotSolution(fl, 'flow', 'H2O');
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title('H2O Mass Fraction');
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subplot(2,2,4);
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plotSolution(fl, 'flow', 'O2');
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title('O2 Mass Fraction');
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