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.
73 lines
2.4 KiB
Matlab
Executable file
73 lines
2.4 KiB
Matlab
Executable file
% Tutorial 6: Transport properties
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%
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% Topics:
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% - mixture-averaged and multicomponent models
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% - viscosity
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% - thermal conductivity
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% - binary diffusion coefficients
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% - mixture-averaged diffusion coefficients
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% - multicomponent diffusion coefficients
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% - thermal diffusion coefficients
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%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% Methods are provided to compute transport properties. By
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% default, calculation of transport properties is not enabled. If
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% transport properties are required, the transport model must be
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% specified when the gas mixture object is constructed.
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% Currently, two models are implemented. Both are based on kinetic
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% theory expressions, and follow the approach described in Dixon-Lewis
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% (1968) and Kee, Coltrin, and Glarborg (2002). The first is a full
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% multicomponent formulation, and the second is a simplification that
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% uses expressions derived for mixtures with a small number of species
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% (1 to 3), using approximate mixture rules to average over
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% composition.
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% To use the multicomponent model with GRI-Mech 3.0, call function
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% GRI30 as follows:
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g1 = GRI30('Multi')
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% To use the mixture-averaged model:
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g2 = GRI30('Mix')
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% Both models use a mixture-averaged formulation for the viscosity.
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visc = [viscosity(g1), viscosity(g2)]
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% The thermal conductivity differs, however.
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lambda = [thermalConductivity(g1), thermalConductivity(g2)]
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% Binary diffusion coefficients
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bdiff1 = binDiffCoeffs(g1)
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bdiff2 = binDiffCoeffs(g2)
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% Mixture-averaged diffusion coefficients. For convenience, the
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% multicomponent model implements mixture-averaged diffusion
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% coefficients too.
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dmix2 = mixDiffCoeffs(g1)
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dmix1 = mixDiffCoeffs(g2)
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% Multicomponent diffusion coefficients. These are only implemented
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% if the multicomponent model is used.
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dmulti = multiDiffCoeffs(g1)
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% Thermal diffusion coefficients. These are only implemented with the
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% multicomponent model. These will be very close to zero, since
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% the composition is pure H2.
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dt = thermalDiffCoeffs(g1)
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% Now change the composition and re-evaluate
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set(g1,'X',ones(nSpecies(g1),1));
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dt = thermalDiffCoeffs(g1)
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% Note that there are no singularities for pure gases. This is
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% because a very small positive value is added to all mole
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% fractions for the purpose of computing transport properties.
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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clear all
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cleanup
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