This paper presents a pioneer work and first time application of Multi Objective Robust Optimization to analytically improve Idle Shake Performance. The method is developed to obtain a robust design with multiple objectives under consideration along with managing material property variation. It was a Robust Optimization on top of Multi Objective Genetic Algorithm, Robu-MOGA. The design variables in the study included the nominal values and tolerances of Sound Transmission Loss property, and interior material Absorption property. The analytical objective was not only to minimize the peak airborne noise at each specified frequency, but also to reduce the total cost and the total mass of the materials. In the study, AutoSEA (statistical energy analysis) from ESI Software, Inc. was used as the solver. AutoSEA was integrated with iSIGHT from Engineous Software, Inc.


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    Titel :

    Multi Objective Robust Optimization for Idle Performance


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Yuan, Charles (Autor:in) / Lewitzke, Craig (Autor:in) / Huang, Mike (Autor:in) / Zhang, Qijun (Autor:in) / Wang, Thomas (Autor:in)

    Kongress:

    SAE 2006 World Congress & Exhibition ; 2006



    Erscheinungsdatum :

    03.04.2006




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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