Effects of differential diffusion and stratification characteristic length-scale on the propagation of a spherical methane-air flame kernel

Aimad Er-Raiy, Radouan Boukharfane, Matteo Parsani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Early flame kernel development and propagation in globally lean stratified fuel--air mixtures is of importance in various practical devices such as internal combustion engines. In this work, three-dimensional direct numerical simulation (DNS) is used to study the influence of the differential diffusion effects in a globally lean methane--air mixtures in presence of mixture heterogeneities with the goal of understanding the flame kernel behavior in such conditions. The DNS typical configuration corresponds to a homogeneous isotropic flow with an expanding spherical flame kernel. The local forced ignition of the kernel is performed by appending as source term in the sensible enthalpy transport equation that emulates spark ignition by energy deposit for a prescribed duration. The combustion chemistry is described with a skeletal methane-air mechanism, which i) features 14 species and 38 reactions, and ii) uses a multicomponent approach to evaluate transport coefficients. To assess the joint effects of differential diffusion and the stratification characteristic length-scale $L_{\Phi}$ on the flame kernel development, we considered cases with constant (unitary) and variable fuel Lewis number, both with different values for $L_{\Phi}$.
Original languageEnglish (US)
Title of host publicationAIAA Scitech 2021 Forum
PublisherAmerican Institute of Aeronautics and Astronautics
ISBN (Print)9781624106095
DOIs
StatePublished - Jan 4 2021

Bibliographical note

KAUST Repository Item: Exported on 2021-02-23
Acknowledgements: The research work was sponsored by King Abdullah University of Science and Technology (KAUST) and made use of the computer clusters at KAUST Supercomputing Laboratory (KSL) and the Supercomputing Laboratory and the Extreme Computing Research Center. The authors also thank Dr. Bilel Hadri at KSL for his technical assistance

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