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Direct Numerical Simulations of Statistically Stationary Turbulent Premixed Flames

Im, Hong G and Arias, Paul G and Chaudhuri, Swetaprovo and Uranakara, Harshavardhana A (2016) Direct Numerical Simulations of Statistically Stationary Turbulent Premixed Flames. In: COMBUSTION SCIENCE AND TECHNOLOGY, 188 (8). pp. 1182-1198.

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Official URL: http://dx.doi.org/10.1080/00102202.2016.1198789

Abstract

Direct numerical simulations (DNS) of turbulent combustion have evolved tremendously in the past decades, thanks to the rapid advances in high performance computing technology. Today's DNS is capable of incorporating detailed reaction mechanisms and transport properties of hydrocarbon fuels, with physical parameter ranges approaching laboratory scale flames, thereby allowing direct comparison and cross-validation against laser diagnostic measurements. While these developments have led to significantly improved understanding of fundamental turbulent flame characteristics, there are increasing demands to explore combustion regimes at higher levels of turbulent Reynolds (Re) and Karlovitz (Ka) numbers, with a practical interest in new combustion engines driving towards higher efficiencies and lower emissions. The article attempts to provide a brief overview of the state-of-the-art DNS of turbulent premixed flames at high Re/Ka conditions, with an emphasis on homogeneous and isotropic turbulent flow configurations. Some important qualitative findings from numerical studies are summarized, new analytical approaches to investigate intensely turbulent premixed flame dynamics are discussed, and topics for future research are suggested.

Item Type: Journal Article
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Additional Information: Copy right for this article belongs to the TAYLOR & FRANCIS INC, 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA
Department/Centre: Division of Mechanical Sciences > Aerospace Engineering (Formerly, Aeronautical Engineering)
Date Deposited: 08 Oct 2016 05:24
Last Modified: 08 Oct 2016 05:24
URI: http://eprints.iisc.ernet.in/id/eprint/54668

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