Bumper Beam Composite Material Selection using Fuzzy Multi-Criteria Analysis

被引:1
|
作者
Senthilnathan, Anaamalaai Annamalai [1 ]
Mehta, Sehul Rajendra [1 ]
Kabir, Golam [1 ]
机构
[1] Univ Regina, Ind Syst Engn, Regina, SK, Canada
来源
2022 INTERNATIONAL CONFERENCE ON DECISION AID SCIENCES AND APPLICATIONS (DASA) | 2022年
关键词
Material selection; Fuzzy TOPSIS; Fuzzy AHP; Bumper beam; Composite; EXTENT ANALYSIS METHOD;
D O I
10.1109/DASA54658.2022.9765059
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Material selection has long been seen as a critical activity in both the design and product development processes. Inappropriate material selection can result in the product being remanufactured and reproduced at a later stage of development. This article conducts a decision-making study of bumper beams to avoid such scenarios, assisting designers in material selection. To accomplish this, a hybrid multicriteria decision-making analysis (MCDA) approach combining the fuzzy analytical hierarchy process (AHP) and the fuzzy technique for ranking preferences by the similarity of ideal solutions (TOPSIS) was designed. Carbon fibre reinforced in an epoxy matrix was discovered to be a more appropriate material for vehicle bumper beams. This study will assist designers and product development personnel in making the optimal material selections for the automobile sector.
引用
收藏
页码:243 / 247
页数:5
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