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Received: 2006-08-04

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Journal of Zhejiang University SCIENCE A 2007 Vol.8 No.5 P.805~811

http://doi.org/10.1631/jzus.2007.A0805


Application of grey relational analysis in sheet metal forming for multi-response quality characteristics


Author(s):  XIE Yan-min, YU Hu-ping, CHEN Jun, RUAN Xue-yu

Affiliation(s):  National Die & Mold CAD Engineering Research Center, Shanghai Jiao Tong University, Shanghai 200030, China

Corresponding email(s):   xie_yanmin@sjtu.edu.cn

Key Words:  Grey relational analysis, Flanging, Multiple response, Optimization design


XIE Yan-min, YU Hu-ping, CHEN Jun, RUAN Xue-yu. Application of grey relational analysis in sheet metal forming for multi-response quality characteristics[J]. Journal of Zhejiang University Science A, 2007, 8(5): 805~811.

@article{title="Application of grey relational analysis in sheet metal forming for multi-response quality characteristics",
author="XIE Yan-min, YU Hu-ping, CHEN Jun, RUAN Xue-yu",
journal="Journal of Zhejiang University Science A",
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number="5",
pages="805~811",
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publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2007.A0805"
}

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%T Application of grey relational analysis in sheet metal forming for multi-response quality characteristics
%A XIE Yan-min
%A YU Hu-ping
%A CHEN Jun
%A RUAN Xue-yu
%J Journal of Zhejiang University SCIENCE A
%V 8
%N 5
%P 805~811
%@ 1673-565X
%D 2007
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2007.A0805

TY - JOUR
T1 - Application of grey relational analysis in sheet metal forming for multi-response quality characteristics
A1 - XIE Yan-min
A1 - YU Hu-ping
A1 - CHEN Jun
A1 - RUAN Xue-yu
J0 - Journal of Zhejiang University Science A
VL - 8
IS - 5
SP - 805
EP - 811
%@ 1673-565X
Y1 - 2007
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2007.A0805


Abstract: 
The theory of grey systems is a new technique for performing prediction, relational analysis and decision making in many areas. In this paper, the use of grey relational analysis for optimizing the square hole flanging process parameters with considerations of the multiple response (the average flanging height, regular flanging and maximum strain) is introduced. Various flanging parameters, such as the blank inner radius rb, blank inner width B0, are considered. An orthogonal array is used for the experimental design. multiple response values are obtained using finite element analysis (FEA). Optimal process parameters are determined by the grey relational grade obtained from the grey relational analysis for multi-performance characteristics (flanging height, regular flanging and maximum strain). Analysis of variance (ANOVA) for the grey relational grade is implemented. The results showed good agreement with the experiment result. grey relational analysis can be applied in multiple response optimization designs.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

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