Direct numerical simulations of passive scalars: effect of initial mixture fraction distribution on timescales

du Preez, M. and Wandel, Andrew P. (2013) Direct numerical simulations of passive scalars: effect of initial mixture fraction distribution on timescales. In: 7th Australian Combustion Symposium (ACS 2013), 6-8 Nov 2013, Perth, Australia.

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Abstract

An investigation into the relationship between the conditional dissipation timescale and integral timescale is conducted using Direct Numerical Simulations (DNS). Specifically, the effect of the initial mixture fraction distribution is explored for passive scalar cases. Results where the initial distribution can be modelled by a beta-function distribution are compared to previous results which can be modelled using a Gaussian distribution. It is found that the behaviour of the conditional dissipation timescale is similar for the two cases and the same steady-state condition is obtained. This suggests that the behaviour of the conditional dissipation timescale is independent of the initial distribution.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: This publication is copyright. It may be reproduced in whole or in part for the purposes of study, research, or review, but is subject to the inclusion of an acknowledgment of the source.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Date Deposited: 19 Nov 2013 01:27
Last Modified: 05 Dec 2014 03:23
Uncontrolled Keywords: direct numerical simulations; scalar timescales
Fields of Research : 09 Engineering > 0915 Interdisciplinary Engineering > 091508 Turbulent Flows
09 Engineering > 0915 Interdisciplinary Engineering > 091501 Computational Fluid Dynamics
09 Engineering > 0915 Interdisciplinary Engineering > 091502 Computational Heat Transfer
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
URI: http://eprints.usq.edu.au/id/eprint/24267

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