COMPOSITE MATERIAL SELECTION USING MULTI CRITERIA DECISION MAKING FOR AUTOMOBILE TORSION BAR

被引:2
作者
ChandraSekar, V. S. [1 ]
Raja, K. [1 ]
Marimuthu, P. [2 ]
机构
[1] Univ Coll Engn, Dept Mech Engn, Ramanathapuram 623513, Tamil Nadu, India
[2] Syed ammal Engn Coll, Ramanathapuram 623513, Tamil Nadu, India
来源
ADVANCEMENTS IN AUTOMATION AND CONTROL TECHNOLOGIES | 2014年 / 573卷
关键词
Composite material; Incomplete linguistic preference relations; AHP; Decision analysis; Consistent fuzzy preference relations; Multi-criteria decision making; PREFERENCE RELATIONS;
D O I
10.4028/www.scientific.net/AMM.573.649
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Automotive components made from composite materials can result in significant weight savings over steel and Aluminum. The main purpose of this research is to study about the selection of suitable composite material for automobile torsion bar which possesses good strength to weight ratio and yield considerable weight savings. This paper involves identification of potential composite materials, selection of evaluation criteria, use of fuzzy theory to quantify criteria values under uncertainty and application of fuzzy Linguistics to evaluate and select the best material for replacing conventional steel material with composite material used in automobile torsion bar. The strength of the proposed paper is the ability to deal with uncertainty arising due to the lack of real data in material selection for replacing the conventional material.
引用
收藏
页码:649 / +
页数:3
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