Optimal design of the S-rail family for an automotive platform with novel modifications on the product-family optimization process
作者： Seyyed Mohammad Hosseini , Mohammad Arjomandi Rad , Abolfazl Khalkhali , Mohammad Javad Saranjam
DOI: 10.1016/J.TWS.2019.01.046
关键词:
摘要: Abstract The genetic algorithm as a successful procedure that has been widely used in previous works to optimally design product family. In this paper, improve optimization procedure, novel modification on the augmented chromosomes after performing operations is proposed. Some drawbacks of family penalty function (PFPF), such inability detect level platform commonality, are illustrated and fully discussed by counterexamples. To overcome drawback, commonality index based chromosome employed further select trade-off optimum points using multi-criteria decision-making methods. proposed modifications S-rails for an automotive platform. main components front rear underbody with significant effects crashworthiness capability vehicle. Therefore, find high capability, experimentally verified S-rail models implemented through non-dominated sorting four-objective optimization, namely remaining energy, peak crushing force, mass, PFPF. Results show there exists set acceptable 100% which can be all products within
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