The handling of species transfer within the interface-composition phase
change system has been sigificantly altered. The explicit-implicit
caching of the mass transfer has been removed and been replaced with
storage of an Su-Sp coefficient pair. The mass transfer is now generated
on the fly from these coefficients.
These fixes resolve a number of issues involving multiple species for
which the pimple loop did not converge to a conservative solution. It
also removes the requirement for a second evaluation of the mass
transfer after solution of the species fraction equations.
This work was supported by Zhen Li, at Evonik
This fixes a consistency issue in the interface-composition method, and
also seems to improve stability/convergence of the pimple iteration in
the presence of significant mass transfer.
Two new phase models have been added as selectable options for
reactingMultiphaseEulerFoam; pureStationaryPhaseModel and
pureStationaryIsothermalPhaseModel. These phases do not store a
velocity and their phase fractions remain constant throughout the
simulation. They are intended for use in modelling static particle beds
and other forms of porous media by means of the existing Euler-Euler
transfer models (drag, heat transfer, etc...).
Note that this functionality has not been extended to
reactingTwoPhaseEulerFoam, or the non-reacting *EulerFoam solvers.
Additional maintenance work has been carried out on the phase model
and phase system structure. The system can now loop over subsets of
phases with specific functionality (moving, multi-component, etc...) in
order to avoid testing for the existence of equations or variables in
the top level solver. The mass transfer handling and it's effect on
per-phase source terms has been refactored to reduce duplication. Const
and non-const access to phase properties has been formalised by renaming
non-const accessors with a "Ref" suffix, which is consistent with other
recent developments to classes including tmp and GeometricField, among
others. More sub-modelling details have been made private in order to
reduce the size of interfaces and improve abstraction.
This work was supported by Zhen Li, at Evonik
Fixed reaction source terms in the energy and species fraction equations
by multiplying by the phase fraction.
Resolves bug report https://bugs.openfoam.org/view.php?id=2591
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.
