Optimization for Hydroforming Loading Paths of Parallel Multi-branch Tubes Based on Grey System Theory

被引：0
|
作者：
Kai Zhang [1 ]
Xiao-Ting Xiao [1 ]
Zhen Chen [1 ]
Hua-Dian Wen [1 ]
Ying Chen [1 ]
机构：
[1] School of Material and Energy,Guangdong University of Technology
来源：
Journal of Harbin Institute of Technology(New series) | 2013年 / 04期
基金：
中国国家自然科学基金;
关键词：
relational grade; parallel multi-branch tubes; hydroforming; optimization;
D O I：
暂无
中图分类号：
TG394 [高压液体成型];
学科分类号：
080201 ; 080503 ;
摘要：
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.
引用
收藏
页码：116 / 120
页数：5
相关论文
共 50 条
  • [1] Optimization for hydroforming loading paths of parallel multi-branch tubes based on grey system theory
    Zhang, Kai
    Xiao, Xiao-Ting
    Chen, Zhen
    Wen, Hua-Dian
    Chen, Ying
    [J]. Journal of Harbin Institute of Technology (New Series), 2013, 20 (04) : 116 - 120
  • [2] Fuzzy Control Optimization of Loading Paths for Hydroforming of Variable Diameter Tubes
    College of Metallurgy and Energy, North China University of Science and Technology, Tangshan
    063210, China
    不详
    110000, China
    不详
    110000, China
    [J]. Comput. Mater. Continua, 2024, 2 (2753-2768):
  • [3] Optimization approach hydroforming car beam billets based grey system theory
    吴耀金
    薛勇
    段江年
    [J]. Journal of Beijing Institute of Technology, 2011, 20 (01) : 48 - 53
  • [4] Structural system identification based on multi-branch BPNN
    Li, HN
    Yang, H
    Li, DS
    [J]. SMART STRUCTURES AND MATERIALS 2004: SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS, 2004, 5391 : 1 - 8
  • [5] Research and Application on Multi-branch Wells based Optimization Technology
    Wang, Yining
    Wu, Xiaodong
    Wang, Ruihe
    Zhang, Zhuang
    [J]. SOLAR ENERGY MATERIALS AND ENERGY ENGINEERING, 2014, 827 : 338 - +
  • [6] Optimization of Multi-branch Truss-Z based on evolution strategy
    Zawidzki, Machi
    [J]. ADVANCES IN ENGINEERING SOFTWARE, 2016, 100 : 113 - 125
  • [7] Multi-Scale Object Detection Method Based on Multi-Branch Parallel Dilated Convolution
    Yuan S.
    Wang K.
    Shan Y.
    Yang J.
    [J]. Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2021, 33 (06): : 864 - 872
  • [8] Resonance Damping of DFIG System Based on Multi-branch Virtual Impedance
    Gao, Yu
    Liu, Qihui
    Cui, Xueshen
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), 2019, : 527 - 532
  • [9] Structural system identification based on multi-branch BP neural network
    Dalian University of Technology, Dalian 116024, China
    不详
    [J]. Gongcheng Lixue, 2006, 2 (23-28+40):
  • [10] Analysis and optimization of multi-branch interconnect architecture based on multi-port transfer matrix
    Li, Xingming
    Hu, Shanqing
    Zhang, Junwei
    [J]. DYNA, 2017, 92 (04): : 404 - 411
12345