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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Related citation:Kai Zhang,Xiao-Ting Xiao,Zhen Chen,Hua-Dian Wen,Ying Chen.Optimization for Hydroforming Loading Paths of Parallel Multi-branch Tubes Based on Grey System Theory[J].Journal of Harbin Institute Of Technology(New Series),2013,20(4):116-120.DOI:10.11916/j.issn.1005-9113.2013.04.018.
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Optimization for Hydroforming Loading Paths of Parallel Multi-branch Tubes Based on Grey System Theory
Author NameAffiliation
Kai Zhang School of Material and Energy, Guangdong University of Technology, Guangzhou 510006, China 
Xiao-Ting Xiao School of Material and Energy, Guangdong University of Technology, Guangzhou 510006, China 
Zhen Chen School of Material and Energy, Guangdong University of Technology, Guangzhou 510006, China 
Hua-Dian Wen School of Material and Energy, Guangdong University of Technology, Guangzhou 510006, China 
Ying Chen School of Material and Energy, Guangdong University of Technology, Guangzhou 510006, China 
Abstract:
According to characteristic of hydroforming of parallel multi-branch tubes, multi-objective problems were transformed to single objective problem of relational grade comparison by grey system theory. Two different objectives were selected, according to the principle that process parameters were optimal which of grey relational grade were maximum, the optimal loading parameters under different objective condition were obtained, and loading paths were optimized. The results indicated that parallel multi-branch tubes hydroformed under loading paths optimized by grey system theory could meet with the requirement that objective was optimal. And the optimal loading paths under different objectives were different, and the appropriate objective should be selected according to forming characteristic.
Key words:  relational grade  parallel multi-branch tubes  hydroforming  optimization
DOI:10.11916/j.issn.1005-9113.2013.04.018
Clc Number:TG394
Fund:

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