A high efficiency parallel unstructured solver dedicated to internal combustion engine simulation

Velghe, A.; Gillet, N.; Bohbot, J.

doi:10.1016/j.compfluid.2011.01.027

Cited by 26 publications

(21 citation statements)

References 7 publications

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“…In the present work, this is done by coupling the ECFM3Z model [24] and a specifically developed tabulated chemistry model, VPTHC, to the IFP-C3D RANS code [40,41]. IFP-C3D, also used for the 3-D Diesel simulations and described in Section 5, is used to simulate homogeneous cases in this section in order to validate the tabulated approach against a reference solution provided by a detailed kinetic solver computation.…”

Section: Turbulent Combustion Modelingmentioning

confidence: 99%

“…Kays and Crawford law is used as proposed by Angelberger et al [50]. Moving-mesh strategies are integrated with all physical models needed to simulate internal combustion engines [40,41].…”

Section: Numerical Set-upmentioning

confidence: 99%

“…The simulations are performed with the IFP-C3D RANS code [40,41], a fully parallelized code developed by IFP Energies Nouvelles for simulating compressible reactive flows. It solves the Navier Stokes equations using the Arbitrary Lagrangian Eulerian formalism as described by Bohbot et al [40].…”

Section: Numerical Set-upmentioning

confidence: 99%

See 2 more Smart Citations

Sectional soot model coupled to tabulated chemistry for Diesel RANS simulations

Aubagnac-Karkar

Michel

Colin

et al. 2015

Combustion and Flame

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Section: Turbulent Combustion Modelingmentioning

confidence: 99%

“…Kays and Crawford law is used as proposed by Angelberger et al [50]. Moving-mesh strategies are integrated with all physical models needed to simulate internal combustion engines [40,41].…”

Section: Numerical Set-upmentioning

confidence: 99%

See 1 more Smart Citation

Sectional soot model coupled to tabulated chemistry for Diesel RANS simulations

Aubagnac-Karkar

Michel

Colin

et al. 2015

Combustion and Flame

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“…The sectional soot and the ADF-PCM models are implemented in the IFP-C3D RANS code, 60,61 which is a fully parallelized code developed by IFP Energies nouvelles for simulating compressible reactive flows. It integrates Lagrangian spray and liquid-film models.…”

Section: Numerical Configurationmentioning

confidence: 99%

Combustion and soot modelling of a high-pressure and high-temperature Dodecane spray

Aubagnac-Karkar

Michel

Colin

et al. 2017

International Journal of Engine Research

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Diesel engines are known to be one of the main sources of soot particle emission in the atmosphere. The norms to restrain these emissions have created a need of accurate soot models for piston engine emissions prediction in the automotive industry. This article addresses this question by coupling a sectional soot model with a tabulated combustion model for Reynolds-averaged Navier-Stokes simulations of the engine combustion network Spray A, a high-pressure Dodecane spray with conditions very similar to diesel engine sprays. The sectional soot model, which has already been used in diesel engines Reynolds-averaged Navier-Stokes simulations with a simpler combustion model, is implemented in the IFP-C3D Reynolds-averaged Navier-Stokes computational fluid dynamics code. At each time and location, transport equations are solved for several soot sections, including source terms for collisional and chemical processes. The soot model is here coupled to the approximated diffusion flame-presumed conditional moment model, which is a tabulated combustion model. It allows to represent the minor species required by the soot model with a much lower computational cost than a kinetic solver and includes complex turbulence-chemistry interactions. The predictions of these models agree with the experimental measurements for most of the Spray A cases for flame structure and soot production. These results show that detailed soot models can be coupled to tabulated combustion models with good results in turbulent flames.

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“…In nearly all scientific and engineering systems, multiphysics problems are the general problems that one has to tackle in order to describe the system accurately. Internal combustion engines are an everyday example of a system that involves fluid flow, chemical reactions, heat transfer, and solid mechanics . A detailed model for each of these disciplines is required for a high‐fidelity representation of the coupled system.…”

Section: Introductionmentioning

confidence: 99%

Approaches for mitigating over‐solving in multiphysics simulations

Senecal

2017

Numerical Meth Engineering

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Summary Multiphysics simulations are used to solve coupled physics problems found in a wide variety of applications in natural and engineering systems. Combining models of different physical processes into one computational tool is the essence of multiphysics simulation. A general and widely used coupling approach is to combine several ‘single‐physics’ numerical solvers, each already being well developed, mature/sophisticated into an iteration‐based computational package. This approach iterates over the constituent solvers at every time step, to obtain globally converged solutions. During the simulation, each single‐physics component is solved repeatedly until the feedback has been adequately resolved. However, the component problem solution only needs to be as precise as the feedback that it receives from the other component. Thus, computational effort expended to exceed such precision is wasted. This issue is usually called over‐solving. This paper proposes and discusses several methods that circumvent over‐solving. The residual balance, relaxed relative tolerance, alternating nonlinear, and solution interruption methods are described, and their performance is compared with Picard iteration. A steady state problem with coupling along an interface and a transient problem with two fields coupled throughout the spatial domain are solved as examples. These problems demonstrate that the savings associated with eliminating over‐solving can reach at least 30% without any loss in accuracy. Copyright © 2017 John Wiley & Sons, Ltd.

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A high efficiency parallel unstructured solver dedicated to internal combustion engine simulation

Cited by 26 publications

References 7 publications

Sectional soot model coupled to tabulated chemistry for Diesel RANS simulations

Sectional soot model coupled to tabulated chemistry for Diesel RANS simulations

Combustion and soot modelling of a high-pressure and high-temperature Dodecane spray

Approaches for mitigating over‐solving in multiphysics simulations

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