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    CFD Approach for Non-Ideally Mixed Bioreactor Modeling

    132122_13812_CUTSE 2009 Full Paper Emily Liew Wan Teng.pdf (253.3Kb)
    Access Status
    Open access
    Authors
    Liew, Emily
    Kumar, Perumal
    Samyudia, Yudi
    Date
    2009
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Liew, Emily and Kumar, Perumal and Samyudia, Yudi. 2009. CFD Approach for Non-Ideally Mixed Bioreactor Modeling, in Agus et al. (ed), Curtin University of Technology Engineering and Science International Conference (CUTSE 2009). Miri, Sarawak, Malaysia: CUTSE 2009.
    Source Title
    Proceedings of CUTSE 2009 Progress in Science and Engineering for Sustainable Development
    Source Conference
    Curtin University of Technology Engineering and Science International Conference (CUTSE 2009)
    ISBN
    978-983-44176-2-8
    Faculty
    Sarawak
    Miri Campus
    Department of Chemical Engineering
    School
    Curtin Sarawak - Faculty Office
    URI
    http://hdl.handle.net/20.500.11937/10249
    Collection
    • Curtin Research Publications
    Abstract

    In this paper, we address the progress, challenges and prospect of modeling mixing in bioreactor by the utilization of Computational Fluid Dynamics (CFD). Efficient operation of bioreactor is essential in the biotechnological process, not only to ensure good yield but also to maintain consistent product quality. Process modeling technique has frequently been adopted in the bioreactor design, optimization and control as well as in scale-up process. One of the critical issues in bioreactor modeling is the need to overcome the mass and heat transfer limitations imposed on the bioreactor performance, particularly the close interaction between fluid flow and the biological reactions. CFD can be applied to overcome this obstacles by integrating the flow rates between adjacent zones, and fluid mechanical quantities, as the integration of mixing phenomena into the bioreactor modeling is considered a vital aspect in the efficient design and scale-up of bioreactor system.

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