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
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
  • [31] Multi Objective Optimization of Turning Process using Grey Relational Analysis and Simulated Annealing Algorithm
    Kolahan, Farhad
    Golmezerji, Reza
    Moghaddam, Masoud Azadi
    MECHANICAL AND AEROSPACE ENGINEERING, PTS 1-7, 2012, 110-116 : 2926 - 2932
  • [32] Optimization of a Moving Averages Program Using a Simulated Annealing Algorithm: The Goal is to Monitor the Process Not the Patients
    Ng, David
    Polito, Frank A.
    Cervinski, Mark A.
    CLINICAL CHEMISTRY, 2016, 62 (10) : 1361 - 1371
  • [33] A simulated annealing algorithm for stiffness optimization
    Vasile, Alexandru
    Coropetchi, Iulian Constantin
    Sorohan, Stefan
    Picu, Catalin Radu
    Constantinescu, Dan Mihai
    4TH INTERNATIONAL CONFERENCE ON STRUCTURAL INTEGRITY (ICSI 2021), 2022, 37 : 857 - 864
  • [34] A simulated annealing algorithm for multiobjective optimization
    Suppapitnarm, A
    Seffen, KA
    Parks, GT
    Clarkson, PJ
    ENGINEERING OPTIMIZATION, 2000, 33 (01) : 59 - 85
  • [35] Simulated annealing: A heuristic optimization algorithm
    Palshikar, GK
    DR DOBBS JOURNAL, 2001, 26 (09): : 121 - 124
  • [36] Optimization of electromagnetic devices by using intelligent simulated annealing algorithm
    Tang, RY
    Sun, JZ
    Li, Y
    Cui, X
    IEEE TRANSACTIONS ON MAGNETICS, 1998, 34 (05) : 2992 - 2995
  • [37] Structure optimization of power system using Simulated Annealing Algorithm
    Rami, Abdelkader
    PRZEGLAD ELEKTROTECHNICZNY, 2011, 87 (01): : 258 - 261
  • [38] The Optimization Solution in the Ordering and Transporting of Steel Tube Based on Genetic Simulated Annealing Algorithm
    Wu, Helei
    Zhu, Shuyun
    Hu, Lingyan
    Wang, Qingquan
    ICNC 2008: FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 1, PROCEEDINGS, 2008, : 675 - 680
  • [39] 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
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2019, 101 (5-8): : 1979 - 1995
  • [40] OPTIMIZATION USING SIMULATED ANNEALING
    BROOKS, SP
    MORGAN, BJT
    STATISTICIAN, 1995, 44 (02): : 241 - 257