Multi-Objective Optimization of Automotive Bumper System for Low Velocity Frontal Impact DaimlerChrysler Research and Technology India Pvt Ltd (DCRTI), Bangalore 560 001, India

Format:

Conference/Event

Author/Creator:

Sinha, Kaushik, author.

Conference Name:

International Mobility Engineering Congress & Exposition 2005 - SAE India Technology for Emerging Markets (2005-10-23 : P-2005, Pennsylvania, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Pune, MH The Automotive Research Association of India 2005

Summary:

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

Notes:

Vendor supplied data

Publisher Number:

2005-26-325

Access Restriction:

Restricted for use by site license