Multi-objective optimisation of the passenger car seat frame using grey relational analysis and grey entropy measurement Online publication date: Mon, 27-Feb-2023
by Zhiying Shan; Wei Wang; Jiangqi Long
International Journal of Vehicle Design (IJVD), Vol. 90, No. 1/2/3/4, 2022
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.
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