Optimization of Tube Hydroforming Process Using Simulated Annealing Algorithm

被引：19
|
作者：
Mirzaali, M. [1 ]
Liaghat, G. H. [1 ]
Naeini, H. Moslemi [1 ]
Seyedkashi, S. M. H. [1 ]
Shojaee, K. [2 ]
机构：
[1] Tarbiat Modares Univ, Dept Mech Engn, Tehran, Iran
[2] Univ Tehran, Dept Elect & Comp Engn, Tehran 14174, Iran
来源：
11TH INTERNATIONAL CONFERENCE ON THE MECHANICAL BEHAVIOR OF MATERIALS (ICM11) | 2011年 / 10卷
关键词：
Tube Hydroforming Process; Optimization; Simulated Annealing; Finite Element Analysis; EXPERIMENTAL-VERIFICATION; PARAMETERS;
D O I：
10.1016/j.proeng.2011.04.499
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, forming parameters of tube hydroforming (THF) process are investigated and optimized using Simulated Annealing optimization algorithm linked with a finite element commercial code. The goal of this research is to obtain the maximum formability of two dimensional (2D) axisymmetric tubes under a failure criteria based on material's forming limit diagram (FLD). The initial approximated pressure loading path is determined by proved theoretical equations. Then the Simulated Annealing algorithm written in Matlab software is combined with a nonlinear structural finite element code ANSYS/LS-DYNA in order to optimize internal hydraulic pressure. The results are compared by experimental observations and a good agreement was observed between them. (C) 2011 Published by Elsevier Ltd. Selection and peer-review under responsibility of ICM11
引用
收藏
页码：3012 / 3019
页数：8
相关论文
共 50 条
  • [41] Multi-objective optimization of the loading path in tube hydroforming process using NCGA
    Zheng Zaixiang
    Xu Jing
    Shen Hui
    ADVANCED MATERIALS AND PROCESS TECHNOLOGY, PTS 1-3, 2012, 217-219 : 1885 - 1889
  • [42] Optimization of Process Parameters to Study the Influence of the Friction in Tube Hydroforming
    Rudraksha S.P.
    Gawande S.H.
    Journal of Bio- and Tribo-Corrosion, 2017, 3 (4)
  • [43] Loading path optimization of T tube in hydroforming process using response surface method
    Feng Ying-ying
    Zhang Hong-ge
    Luo Zong-an
    Wu Qing-lin
    The International Journal of Advanced Manufacturing Technology, 2019, 101 : 1979 - 1995
  • [44] Optimization of Process Parameters of Tube Hydroforming based on Orthogonal Experiment
    Du, Jitao
    Chen, Chengzhan
    Huang, Can
    Chen, Qijun
    INFORMATION ENGINEERING FOR MECHANICS AND MATERIALS SCIENCE, PTS 1 AND 2, 2011, 80-81 : 542 - +
  • [45] Process optimization of line patterns in extreme ultraviolet lithography using machine learning and a simulated annealing algorithm
    Zhao, Rongbo
    Hu, Ziyu
    Wang, Xiaolin
    Tao, Peipei
    Wang, Yimeng
    Liu, Tianqi
    Wei, Yayi
    Xu, Hong
    He, Xiangming
    APPLIED OPTICS, 2023, 62 (11) : 2892 - 2898
  • [46] An energy method for analysing deep drawing process by simulated annealing optimization algorithm
    Assempour, A
    Gandomkar, M
    JSME INTERNATIONAL JOURNAL SERIES C-MECHANICAL SYSTEMS MACHINE ELEMENTS AND MANUFACTURING, 2005, 48 (01) : 95 - 102
  • [47] Optimization for the process parameters of hydroforming using genetic algorithm in combination with FE codes
    Zhao, Shengdun
    Yong, Zhang
    Zhang, Zhiyuan
    Zhang, Chengwei
    ICNC 2007: THIRD INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 4, PROCEEDINGS, 2007, : 145 - +
  • [48] Solving topology optimization problems using the Modified Simulated Annealing Algorithm
    Millan Paramo, C.
    Begambre Carrillo, O.
    REVISTA INTERNACIONAL DE METODOS NUMERICOS PARA CALCULO Y DISENO EN INGENIERIA, 2016, 32 (02): : 65 - 69
  • [49] Water Distribution System Optimization Using Genetic Simulated Annealing Algorithm
    Shu, Shihu
    INTELLIGENT COMPUTING AND INFORMATION SCIENCE, PT II, 2011, 135 : 656 - 661
  • [50] Multi-objective optimization using genetic simulated annealing algorithm
    Shu, Wanneng
    DCABES 2007 Proceedings, Vols I and II, 2007, : 42 - 45
12345