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    A New Computational Fluid Dynamics Solver to Simulate Capture, Coalescence and Drainage in Coalescing Filter Media

    Access Status
    Fulltext not available
    Authors
    King, Andrew
    Mullins, Benjamin
    Date
    2011
    Type
    Conference Paper
    
    Metadata
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    Citation
    King, A. J. C. and Mullins, B. J. 2011. A New Computational Fluid Dynamics Solver to Simulate Capture, Coalescence and Drainage in Coalescing Filter Media, in American Filtration and Separations Society ( AFS ) (ed), Shape up to Green, American Filtration and Separations Society Annual Conference 2011: May 9-12 2011, pp. 719-727. Louisville, Kentucky, USA: Curran Associates
    Source Title
    Proceedings of the American Filtration and Separations Society Annual Conference 2011: Shape up to Green
    Source Conference
    American Filtration and Separations Society Annual Conference 2011: Shape up to Green
    ISBN
    9781618393357
    School
    Department of Mechanical Engineering
    URI
    http://hdl.handle.net/20.500.11937/32039
    Collection
    • Curtin Research Publications
    Abstract

    This paper presents a method for coupling volume-of-fluid and discrete Lagrangian particle tracking methods to allow simulation oil-mist or coalescing filters, and ultimately gauge their effectiveness.The solver is built on the open-source OpenFOAM CFD libraries, which are extended to include a physically accurate model for motion of small particles, coupled with a volume-of-fluid treatment for coalesced and captured fluid. A key part of the method is accounting for particles as they collide, are intercepted by fluid or fibres and as they change from a discrete Lagrangian treatment to a volume-of-fluid treatment. Results from simulations using a portion of realistic filter geometry are used to demonstrate the intended applications of the solver. These indicate that the method is feasible, robust and that realistic behaviour of an oil-mist filter can be captured. In the future using this solver to simulate real filter geometries should lead to a better understanding of the behaviour of oil mist filters, and as a consequence, will allow filter designs to be explored through simulation in combination with experimentation.

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