Mixture-fraction based hybrid binomial-langevin–MMC modelling applied to auto-ignition in vitiated flow

Wandel, Andrew P. and Lindstedt, R. Peter (2017) Mixture-fraction based hybrid binomial-langevin–MMC modelling applied to auto-ignition in vitiated flow. In: 11th Asia-Pacific Conference on Combustion, 10-14 Dec 2017, Sydney, Australia.

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Abstract

A new hybrid binomial Langevin–MMC (Multiple Mapping Conditioning) modelling approach is proposed. The mixture fraction derived from the binomial Langevin model is used to specify the reference variable for MMC. The modified Curl’s model is used to close the stochastic MMC mixing term. The new model is applied to a jet burner with a vitiated co-flow (the 'Cabra burner') with methane as the fuel. The first- and second-order statistics show good agreement with experimental data.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: No evidence of copyright restrictions preventing deposit.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Date Deposited: 08 Feb 2018 05:59
Last Modified: 08 Feb 2018 05:59
Fields of Research : 09 Engineering > 0913 Mechanical Engineering > 091305 Energy Generation, Conversion and Storage Engineering
09 Engineering > 0915 Interdisciplinary Engineering > 091508 Turbulent Flows
Socio-Economic Objective: B Economic Development > 85 Energy > 8507 Energy Conservation and Efficiency > 850702 Energy Conservation and Efficiency in Transport
B Economic Development > 85 Energy > 8507 Energy Conservation and Efficiency > 850703 Industrial Energy Conservation and Efficiency
URI: http://eprints.usq.edu.au/id/eprint/33560

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