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dc.contributor.authorKing, Andrew
dc.contributor.authorMullins, Benjamin
dc.contributor.authorLowe, A.
dc.contributor.editorKian Teh, Ian Davies and Ian Howard
dc.identifier.citationKing, Andrew J.C. and Mullins, Benjamin J. and Lowe, Andrew G. 2010. Discrete Particle Tracking in Fluid Flows for Particulate Filter Simulations, in Teh, K. and Davies, I. and Howard, I. (ed), 6th Australasian Congress on Applied Mechanics, Dec 12 2010. Perth, WA: Engineers Australia.

Filtration of particulate-laden airstreams is an important industrial process, undertaken for a combination of operational, environmental, safety and health reasons. The fundamentals of filtration are well-understood and these can serve as a basis for design where the filter is assumed clean, and where it has a regular geometry. However, after a filter is has undergone a period of service, or for filters with complex fibre geometries, the application of these basic principles is often unsuccessful. For this reason it is desirable to fully simulate a filter design prior to manufacture in order to gauge both the initial and long term filter performance.This paper presents a coupled fluid and particle solver that can accurately model particulate filters, and allows their performance to be predicted. The solver is built on the open-source OpenFOAM Computational Fluid Dynamics (CFD) software libraries, which are extended to include a physically accurate model for particle motion and capture. Results demonstrate that the particle motion is accurately modelled for a range of particle sizes, and allows the three major particle capturing mechanisms to be simulated - namely Brownian motion, interception, and inertial impact. A comparison between the performance calculated from Single Fibre Efficiency (SFE) theory and that predicted by the numerical model is presented and shows good agreement.To demonstrate the feasibility of conducting a realistic filter simulation using the developed code, the flow and particle capture behaviour of a representative filter geometry is presented. Future developments to the code are planned to combine discrete particle tracking with a multiphase volume of fluid model to predict filter behaviour of oil-mist filters, including coalescence and break-up.

dc.publisherEngineers Australia
dc.subjectdiscrete particle tracking
dc.titleDiscrete Particle Tracking in Fluid Flows for Particulate Filter Simulations
dc.typeConference Paper
dcterms.source.titleProceedings of the 6th Australasian Congress on Applied Mechanics
dcterms.source.seriesProceedings of the 6th Australasian Congress on Applied Mechanics
dcterms.source.conference6th Australasian Congress on Applied Mechanics
dcterms.source.conference-start-dateDec 12 2010
dcterms.source.conferencelocationPerth, Western Australia
curtin.departmentDepartment of Mechanical Engineering
curtin.accessStatusFulltext not available

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