openfoam/tutorials/combustion/chemFoam
Henry Weller 1d57269680 TDACChemistryModel: New chemistry model providing Tabulation of Dynamic Adaptive Chemistry
Provides efficient integration of complex laminar reaction chemistry,
combining the advantages of automatic dynamic specie and reaction
reduction with ISAT (in situ adaptive tabulation).  The advantages grow
as the complexity of the chemistry increases.

References:
    Contino, F., Jeanmart, H., Lucchini, T., & D’Errico, G. (2011).
    Coupling of in situ adaptive tabulation and dynamic adaptive chemistry:
    An effective method for solving combustion in engine simulations.
    Proceedings of the Combustion Institute, 33(2), 3057-3064.

    Contino, F., Lucchini, T., D'Errico, G., Duynslaegher, C.,
    Dias, V., & Jeanmart, H. (2012).
    Simulations of advanced combustion modes using detailed chemistry
    combined with tabulation and mechanism reduction techniques.
    SAE International Journal of Engines,
    5(2012-01-0145), 185-196.

    Contino, F., Foucher, F., Dagaut, P., Lucchini, T., D’Errico, G., &
    Mounaïm-Rousselle, C. (2013).
    Experimental and numerical analysis of nitric oxide effect on the
    ignition of iso-octane in a single cylinder HCCI engine.
    Combustion and Flame, 160(8), 1476-1483.

    Contino, F., Masurier, J. B., Foucher, F., Lucchini, T., D’Errico, G., &
    Dagaut, P. (2014).
    CFD simulations using the TDAC method to model iso-octane combustion
    for a large range of ozone seeding and temperature conditions
    in a single cylinder HCCI engine.
    Fuel, 137, 179-184.

Two tutorial cases are currently provided:
    + tutorials/combustion/chemFoam/ic8h18_TDAC
    + tutorials/combustion/reactingFoam/laminar/counterFlowFlame2D_GRI_TDAC

the first of which clearly demonstrates the advantage of dynamic
adaptive chemistry providing ~10x speedup,

the second demonstrates ISAT on the modest complex GRI mechanisms for
methane combustion, providing a speedup of ~4x.

More tutorials demonstrating TDAC on more complex mechanisms and cases
will be provided soon in addition to documentation for the operation and
settings of TDAC.  Also further updates to the TDAC code to improve
consistency and integration with the rest of OpenFOAM and further
optimize operation can be expected.

Original code providing all algorithms for chemistry reduction and
tabulation contributed by Francesco Contino, Tommaso Lucchini, Gianluca
D’Errico, Hervé Jeanmart, Nicolas Bourgeois and Stéphane Backaert.

Implementation updated, optimized and integrated into OpenFOAM-dev by
Henry G. Weller, CFD Direct Ltd with the help of Francesco Contino.
2016-07-17 15:13:54 +01:00
..
gri foamChemistryReader: Added support for elements and specie composition 2016-07-12 09:05:00 +01:00
h2 tutorials: Remove the unnecessary "\"s on "cp", "rm" and "mv" 2016-05-05 15:17:55 +01:00
ic8h18 tutorials: Remove the unnecessary "\"s on "cp", "rm" and "mv" 2016-05-05 15:17:55 +01:00
ic8h18_TDAC TDACChemistryModel: New chemistry model providing Tabulation of Dynamic Adaptive Chemistry 2016-07-17 15:13:54 +01:00
nc7h16 tutorials: Remove the unnecessary "\"s on "cp", "rm" and "mv" 2016-05-05 15:17:55 +01:00
README Renamed folder -> directory for consistency with POSIX and the rest of OpenFOAM 2014-01-30 13:01:04 +00:00

Stiff chemistry solver validation test cases

gri    : GRI-Mech 3.0. CH4 combustion, 53 species, 325 reactions
h2     : H2 combustion, 10 species, 27 reactions
nc7h16 : n-Heptane combustion, 544 species, 2446 reactions
ic8h18 : iso-Octane combustion, 874 species, 3796 reactions

Results interpreted in 'validation' sub-directory, where OpenFOAM results
are compared against those predicted by CHEMKIN II.

Overall the best performing ODE solver is seulex followed closely by rodas23.