Light weighting in the automotive industry without the use of finite element methodologies is now inconceivable. With the development and enhancement of various CAE tools available, CAE-driven optimization has become part of the product development cycle. Using a variety of CAE techniques in a lightweight optimization process can significantly reduce product development lead time with good results. Traditional light weighting can be done through different iterative approaches with different manual inputs from cross-domain teams, which is usually time consuming and leads to repeated analysis. This method describes the case of a multi-domain optimization approach with the reduction of the frame weight of an e-scooter while considering important cross-domain load cases using CAE. For frame optimization, the important load cases such as Durability/Strength (Normal and Abusive), and NVH (Stiffness, Modes and Vibration) - were taken into account. This Multi Domain/Disciplinary Optimization (MDO) approach has resulted in significant weight savings in the final product, also in reducing the product lead time and cost.


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    Titel :

    Light Weighting of Two-Wheeler Frame with CAE - Multi Domain Optimization (MDO)


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Kakanur, Ashok (Autor:in) / Poojary, Kiran (Autor:in) / V N, Kishor (Autor:in) / U PE, Manjunatha (Autor:in) / Bhat, Sachin (Autor:in) / S, Vishnu (Autor:in)

    Kongress:

    Symposium on International Automotive Technology ; 2024



    Erscheinungsdatum :

    2024-01-16




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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