Multi-Objective Optimization of Automotive Bumper System for Low Velocity Frontal Impact 2005-26-325
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.
Citation: Sinha, K. and Nagesh, S., "Multi-Objective Optimization of Automotive Bumper System for Low Velocity Frontal Impact," SAE Technical Paper 2005-26-325, 2005, https://doi.org/10.4271/2005-26-325. Download Citation
Author(s):
Kaushik Sinha, Suresh Nagesh
Affiliated:
DaimlerChrysler Research and Technology India Pvt Ltd (DCRTI), Bangalore 560 001, India
Pages: 7
Event:
International Mobility Engineering Congress & Exposition 2005 - SAE India Technology for Emerging Markets
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Optimization
Mathematical models
Computer software and hardware
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