Multi-objective optimization of an automobile seat frame based on collision condition and gray fuzzy decision

Linchong Huang; Chenxu Dai; Jiangqi Long

doi:10.1117/12.2679603

18 July 2023 Multi-objective optimization of an automobile seat frame based on collision condition and gray fuzzy decision

Linchong Huang, Chenxu Dai, Jiangqi Long

Author Affiliations +

Proceedings Volume 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023); 127223M (2023) https://doi.org/10.1117/12.2679603
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 2023, Hangzhou, China

Abstract

This study established 50% dummy front collision (FC) and 50% dummy rear collision (RC) simulation analysis working conditions to address the optimization problem of automobile seat skeletons, improve the overall performance of automobile seat skeleton structures, and avoid the problems of instability of multi-criteria decision results, non-uniform results of different multi-criteria methods. The gray relation analysis and fuzzy logic system were used to optimize the design of the automobile seat under FC and RC conditions, and the fuzzy logic decision system was adopted to make decisions on the optimal design solutions for the sample points under FC and RC conditions. Then, the two design solutions were rationally recombined to form the final optimal design solution. The final optimized design scheme reduced the quality by 19.2% and the cost by 25.7%. Afterward, this study compared the fuzzy decision method with TOPSIS decision methods and proved that the proposed fuzzy decision-making method is simple, efficient, convenient, and fast.

Citation Download Citation

Linchong Huang, Chenxu Dai, and Jiangqi Long "Multi-objective optimization of an automobile seat frame based on collision condition and gray fuzzy decision", Proc. SPIE 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 127223M (18 July 2023); https://doi.org/10.1117/12.2679603

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available