1. EULERIAN MOMENT METHODS FOR AUTOMOTIVE SPRAYS
- Author
-
O. Emre, Frédérique Laurent, A. Velghe, Quang Huy Tran, Marc Massot, Rodney O. Fox, Damien Kah, Stéphane Jay, S. de Chaisemartin, Laboratoire d'Énergétique Moléculaire et Macroscopique, Combustion (EM2C), Université Paris Saclay (COmUE)-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec, IFP Energies nouvelles (IFPEN), Ecole Centrale Paris, Fédération de Mathématiques de l'Ecole Centrale Paris (FR3487), Ecole Centrale Paris-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), and The main contribution of this review paper relies on the Ph.D. works conducted byD. Kah (2007–2010) and O. Emre (2010–2014). These doctorates are the result of afruitful collaboration between IFPEN and EM2C Laboratory at Ecole Centrale Paris andwere co-advised by S. Jay and S. de Chaisemartin at IFPEN and F. Laurent-Nègre andM. Massot at Ecole Centrale Paris in collaboration with Rodney O. Fox. The researchof R.O.F. leading to some of the results reported in the present work on quadrature-basedmoment methods and turbulence modeling has received funding from the EuropeanUnion Seventh Framework Program (FP7/2007-2013) under grant agreementNo. 246556.
- Subjects
business.industry ,Turbulence ,[SPI.FLUID]Engineering Sciences [physics]/Reactive fluid environment ,General Chemical Engineering ,Multiphase flow ,Mechanical engineering ,Eulerian path ,Computational fluid dynamics ,Solver ,System of linear equations ,Moment (mathematics) ,[SPI]Engineering Sciences [physics] ,symbols.namesake ,Flow (mathematics) ,symbols ,Statistical physics ,[MATH]Mathematics [math] ,business ,[MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA] - Abstract
International audience; To assist industrial engine design, 3D simulations are increasingly used as they allow evaluation of a wide range of engine configurations and operating conditions and bring a comprehension of the underlying physics comple-mentary to experiments. While the gaseous flow description has reached a certain level of maturity, the multiphase flow description involving the liquid jet fuel injected into the chamber still faces some major challenges. There is a pressing need for a spray model that is time efficient and accurately describes the fuel-particle cloud dynamics downstream of the injector, which is an essential prerequisite for predictive combustion simulations. Due to the highly unsteady nature of the flow following the high-pressure injection process and the complexity of the flow regimes from separated/dense compressible phases to fully developed turbulent spray with evaporating droplets, Eulerian-Eulerian descriptions of two-phase flows are seen as very promising approaches towards realistic and predictive simulations of the mixing process. However they require some effort in terms of physical modeling and numerical analysis related to the more complex mathematical structure of the system of equations and to the unclosed terms appearing in space/time-average equations. Among the various challenges faced, one critical as-pect is to capture spray polydispersity in this framework. A review of recent developments that have permitted key advances in the spray modeling community is proposed in this paper. It is divided into four parts. First, an introduction to automotive spray modeling is provided. Then the formalisms for the description of the disperse region of an engine spray are presented with particular emphasis on the pros and cons of classical Lagrangian par-ticle methods versus Eulerian approaches. The third part presents the motivation for and the recent developments of Eulerian high-order moment methods for size polydispersion. Finally, the extension to fully two-way coupled interactions with the gas phase and the implementation of such methods for variable-geometry applications in CFD codes is described in the fourth part. Using realistic direct injection conditions computed with the IFP-C3D solver, the application and efficiency of Eulerian approaches is illustrated.
- Published
- 2015