Towards the Use of Eulerian Field PDF Methods for Combustion Modeling in IC Engines

Tommaso Lucchini*, Gianluca D'Errico, Francesco Contino, Mehdi Jangi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Detailed chemistry and turbulence-chemistry interaction need to be properly taken into account for a realistic combustion simulation of IC engines where advanced combustion modes, multiple injections and stratified combustion involve a wide range of combustion regimes and require a proper description of several phenomena such as auto-ignition, flame stabilization, diffusive combustion and lean premixed flame propagation. To this end, different approaches are applied and the most used ones rely on the well-stirred reactor or flamelet assumption. However, well-mixed models do not describe correctly flame structure, while unsteady flamelet models cannot easily predict premixed flame propagation and triple flames. A possible alternative for them is represented by transported probability density functions (PDF) methods, which have been applied widely and effectively for modeling turbulent reacting flows under a wide range of combustion regimes. For IC engine simulations, the most promising ones are the Eulerian field PDF methods (SEF) whose formulation was originally proposed by Vali{capital glottal stop}o and Sabel'nikov. Such models can be easily incorporated into CFD codes and are less computationally intensive with respect to Lagrangian approaches. In particular, Lagrangian particles are replaced by stochastic fields and transport equations are solved for them including a random process as a source term. Purpose of this work is the assessment of a SEF combustion model, that has been implemented into the Lib-ICE code, which is based on the OpenFOAM technology. To make the use of detailed chemistry possible in a reasonable amount of time, a multi-zone approach was incorporated in the combustion model and coupled with the TDAC technique, combining in-situ adaptive tabulation and dynamic adaptive chemistry. Experimental validation was carried out by simulating Diesel combustion experiments at constant volume conditions.

Original languageEnglish
Article number2014-01-1144
Pages (from-to)286-296
Number of pages11
JournalSAE International Journal of Engines
Volume7
Issue number1
Early online date1 Apr 2014
DOIs
Publication statusPublished - May 2014
EventSAE 2014 World Congress and Exhibition - Detroit, MI, United States
Duration: 8 Apr 201410 Apr 2014

ASJC Scopus subject areas

  • Automotive Engineering
  • Fuel Technology

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