The demands resulting from stringent noise legislations are increasing rapidly. It has become necessary to establish optimum design methods for low noise engines. In this paper, a methodology for structure borne engine noise control using the combination of experimental and computer aided techniques is presented. Sensitivity analysis for noise reduction is carried out for various structural modifications. The major structural improvements include addition of ribs, stiffening plate and crankcase shape modifications. The final models were validated using experimental analysis techniques.


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    Titel :

    Sensitivity Analysis for Structure Borne Noise Reduction of Diesel Engine


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Kalsule, D. J. (Autor:in) / Wagh, S. D. (Autor:in) / Athavale, S. M. (Autor:in)

    Kongress:

    Symposium on International Automotive Technology~SIAT 2003 ; 2003



    Erscheinungsdatum :

    18.01.2003




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch


    Schlagwörter :


    Sensitivity Analysis for Structure Borne Noise Reduction of Diesel Engine

    Kalsule, D. J. / Wagh, S. D. / Athavale, S. M. et al. | British Library Conference Proceedings | 2003


    Structure Borne Noise Optimization of Diesel Engine by Simulation

    Mohammad, Asif Basha Shaik / Vijayakumar, Ravindran / Panduranga, Nageshwara Rao | British Library Conference Proceedings | 2017


    Structure Borne Noise Optimization of Diesel Engine by Simulation

    Shaik Mohammad, Asif Basha / Panduranga, Nageshwara Rao / Vijayakumar, Ravindran | SAE Technical Papers | 2017


    Diesel engine control based on structure-borne noise – optimization and adaptation of parameters

    Schneider, Sebastian / Carstens, Jan Hendrik / Nobis, Jürgen et al. | Springer Verlag | 2019


    Diesel engine control based on structure-borne noise : optimization and adaption of parameters

    Schneider, Sebastian / Carstens, Hendrik / Nobis, Jürgen et al. | TIBKAT | 2019