Machine Learning applications are developed to disrupt product design methodology across all industries. Every design engineer would like to optimize his design at the concept stage only considering a few critical and essential load cases. The major challenge for the design engineer has not much simulation expertise required to prepare the CAE model, apply material properties, load case, solve and post-process to understand the CAE performance. Even, when the engineer has CAE expertise, it will take a considerable amount of time to prepare the CAE model, solve and post-process it.


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    Titel :

    CAE Performance Prediction Using Machine Learning Model Based On Historical Data


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:

    Kongress:

    Symposium on International Automotive Technology ; 2021



    Erscheinungsdatum :

    2021-09-22




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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