This paper presents a methodology for digital design of a bumper system with energy absorber that caters to low velocity impact with a rigid barrier with maximum energy absorption and minimum barrier intrusion with constraint on transmitted rail loading. This gives rise to a conflicting situation and a genetic algorithm based multi-objective optimization software GDOT, developed in-house, is used to come-up with an optimal pareto-front. The technique employed here treats multiple objective functions separately without combining them in any form. A decision-making criterion is subsequently invoked to select the “best” subset of solutions from the obtained non-dominated Pareto optimal solutions.


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    Title :

    Multi-Objective Optimization of Automotive Bumper System for Low Velocity Frontal Impact


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    International Mobility Engineering Congress & Exposition 2005 - SAE India Technology for Emerging Markets ; 2005



    Publication date :

    2005-10-23




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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