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Published February 2017 | public
Journal Article

A priori filtered chemical source term modeling for LES of high Karlovitz number premixed flames

Abstract

Assumptions behind closure models for the filtered source term are studied a priori using results from DNS of turbulent n-heptane/air premixed flames at varying Karlovitz numbers. Simulations with both detailed chemistry and tabulated chemistry, as well as unity and non-unity Lewis numbers, are used to determine if finite-rate chemistry and differential diffusion effects affect the filtered chemical source terms. While the unfiltered source term shows large fluctuations, the filtered source terms from detailed chemistry and tabulated chemistry are in good agreement at sufficiently large filter widths (Δ ≳ l_F). Using the concept of optimal estimators, it is shown that a tabulation approach using the filtered progress variable and its variance can predict accurately the filtered chemical source terms. Finally, the filtered source terms from the DNS are compared to predictions from two commonly assumed sub-filter probability density function models. Both models show deviations from the filtered DNS source terms but predict accurately the mean turbulent flame speed. The results illustrate the potential of using simple tabulated chemistry approaches based on presumed PDFs for LES of premixed flames in the thin and distributed reaction zones regimes.

Additional Information

© 2016 The Combustion Institute. Published by Elsevier Inc. Received 8 April 2016, Revised 21 May 2016, Accepted 15 November 2016, Available online 9 December 2016. The authors gratefully acknowledge funding from Air Force Office of Scientific Research (FA9550-12-1-0472 and FA9550-12-1-0144) under supervision of Dr. Chiping Li and Fonds de Recherche du Québec - Nature et Techonologies for financial support. This research used resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. This work used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation grant number ACI-1053575.

Additional details

Created:
August 22, 2023
Modified:
October 23, 2023