Title: Multi-objective optimisation of the passenger car seat frame using grey relational analysis and grey entropy measurement

Authors: Zhiying Shan; Wei Wang; Jiangqi Long

Addresses: College of Mechanical and Electrical Engineering, Wenzhou University, Chashan Street, Ouhai District, Wenzhou, 325035, China ' College of Mechanical and Electrical Engineering, Wenzhou University, Chashan Street, Ouhai District, Wenzhou, 325035, China ' College of Mechanical and Electrical Engineering, Wenzhou University, Chashan Street, Ouhai District, Wenzhou, 325035, China

Abstract: At present, more attention has been paid to the performance and lightweight design for passenger car seats. The optimisation design for seat frame is performed in this research. The innovation is that a particular method of lightweight optimisation is proposed according to the characteristics of seat frame. The best thickness-material scheme of the parts that needs to be optimised (opti-parts) is obtained by applying the method of grey relational analysis (GRA), grey entropy measurement, and average strain indices (GRA&GEM(ASI)). Moreover, in order to verify the advantages of GRA&GEM(ASI), a comparison is made among several different techniques. The results show that, not only the gross cost and gross mass of opti-parts are reduced by ¥3.13 (16.68%) and 0.67kg (16.88%), respectively, but also the performance and reliability of seat frame is well guaranteed. The method of GRA&GEM(ASI) proposed makes significant contributions effectively performed in multi-objective optimisation design for passenger car seat frames.

Keywords: seat frame of passenger car; multi-objective optimisation; GRA; grey relational analysis.

DOI: 10.1504/IJVD.2022.129166

International Journal of Vehicle Design, 2022 Vol.90 No.1/2/3/4, pp.69 - 97

Received: 09 Mar 2021
Accepted: 31 Mar 2022

Published online: 27 Feb 2023 *

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