Vehicle air conditioning and heating system is one of the most important part of an automobile system. Computational fluid Dynamics (CFD) is widely used to predict air flow rates and distribution in such Heating Ventilation and Air Conditioning (HVAC). Commercial CFD codes such as FLUENT and STAR-CCM+ are widely used in simulation for industrial research. But usage of these software comes with a heavy cost. Cost is one such parameter which industries try to bring down, without compromising on the deliverables in product development. OpenFOAM is one such license free, open source code that can be used to modify and compile its code based on the needs and the physics of the problem in hand.This study assessed the performance of airflow magnitude and distribution in an HVAC using OpenFOAM. The results between STAR-CCM+ and OpenFOAM were compared in terms of grid-independent solutions using various scalar and vector plots. The results thus obtained was also validated through testing and found to be within acceptable limits. It was observed that an open source software yields reasonably accurate results when compared with a commercial software.


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    Titel :

    Comparative Study between OpenFOAM and STAR-CCM+ For HVAC Airflow Analysis


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Goel, Arunkumar (Autor:in) / Baruah, Murchana (Autor:in) / Parayil, Paulson (Autor:in) / Singh, Shobit Kumar (Autor:in) / Sen, Somnath (Autor:in)

    Kongress:

    SAENIS TTTMS Thermal Management Systems Conference-2022 ; 2022



    Erscheinungsdatum :

    09.11.2022




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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