Experimental and numerical investigation of crashworthiness performance for optimal automobile structures using response surface methodology and oppositional based learning differential evolution algorithm-Reference-Cited by-同舟云学术

Experimental and numerical investigation of crashworthiness performance for optimal automobile structures using response surface methodology and oppositional based learning differential evolution algorithm

Published:2023-03-01 Issue:3 Volume:65 Page:346-363
ISSN:0025-5300
Container-title:Materials Testing
language:en
Short-container-title:

Author:

Yildirim Ahmet¹,Demirci Emre²^ORCID,Karagöz Selçuk²,Özcan Şevket¹,Yildiz Ali Riza³

Affiliation:

1. Toksan Otomotiv A.Ş. , Bursa , Türkiye

2. Department of Mechanical Engineering , Bursa Technical University , Bursa , 16310 , Türkiye

3. Department of Mechanical Engineering , Bursa Uludag University , Görükle , Bursa , 16059 , Türkiye

Abstract

Abstract In this study, experimental and numerical crash analyses are carried out to reach an optimum bumper beam and energy absorber design for a passenger car. Design parameters have been created to determine the most crash-efficient bumper beam and energy absorber models. The models that are formed by using Taguchi tables are subjected to crash analysis, and the responses are obtained to find an optimal design. Response surface methodology is used to approximate the structural responses in crash analysis, and the optimum bumper beam and energy absorber models are obtained by the differential evolution algorithm. The optimum model is subjected to crash analysis in the Hyperform software without considering the sheet metal forming effect. Besides, the model is analyzed by incorporating forming history into the crash analysis. As a result of the numerical analysis, a new energy absorber and bumper beam model with the better crash performance and weight reduction are obtained.

Funder

Bilim, Sanayi ve Teknoloji BakanliÄŸi

Publisher

Walter de Gruyter GmbH

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Link

https://www.degruyter.com/document/doi/10.1515/mt-2022-0304/pdf

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