Study of random particle interactions for analysis of diffusion lengths in turbulent combustion modelling

Noor, M. M. and Yusaf, T. F. and Wandel, Andrew P. (2011) Study of random particle interactions for analysis of diffusion lengths in turbulent combustion modelling. In: Australian Combustion Symposium 2011 (ACS 2011), 29 Nov-1 Dec 2011, Newcastle, Australia.

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Abstract

Turbulent combustion is commonly modelled using probability density function (PDF) methods; to close these methods, micro-mixing models are required: these are most commonly based on stochastic particle interactions. While it is standard practice for the turbulent diffusion coefficient to be used to specify the amount of mixing, few models account for the corresponding diffusion length scale that defines interacting particle separation. This study investigates ensemble averages of the minimum, mean and maximum inter-particle distances for random realisations as a precursor to comparing with the diffusion length in real simulations. It was found that the ensemble of results for each type of inter-particle distance (minimum, mean or maximum) had a normal distribution. For 1 to 1000 dimensions, the minimum inter-particle distances for 100 particles were 0.0051 to 12.3406 and the average distances were 0.3297 to 12.7776.


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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.
Depositing User: Mr Muhamad Mat Noor
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Mechanical and Mechatronic Engineering
Date Deposited: 25 Jan 2012 02:09
Last Modified: 03 Jul 2013 00:56
Uncontrolled Keywords: particles; diffusion length; turbulent combustion
Fields of Research (FOR2008): 02 Physical Sciences > 0202 Atomic, Molecular, Nuclear, Particle and Plasma Physics > 020203 Particle Physics
09 Engineering > 0902 Automotive Engineering > 090201 Automotive Combustion and Fuel Engineering (incl. Alternative/Renewable Fuels)
09 Engineering > 0913 Mechanical Engineering > 091307 Numerical Modelling and Mechanical Characterisation
Socio-Economic Objective (SEO2008): D Environment > 96 Environment > 9601 Air Quality > 960199 Air Quality not elsewhere classified
E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
URI: http://eprints.usq.edu.au/id/eprint/20302

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