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] The effect of tube dimensions on optimized pressure and force loading paths in tube hydroforming process
    Seyedkashi, S. M. H.
    Naeini, H. Moslemi
    Liaghat, G. H.
    Mashadi, M. Mosavi
    Mirzaali, M.
    Shojaee, K.
    Moon, Y. H.
    JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2012, 26 (06) : 1817 - 1822
  • [42] Multi-objective optimization using genetic simulated annealing algorithm
    Shu, Wanneng
    DCABES 2007 Proceedings, Vols I and II, 2007, : 42 - 45
  • [43] Hybrid Whale Optimization Algorithm with simulated annealing for feature selection
    Mafarja, Majdi M.
    Mirjalili, Seyedali
    NEUROCOMPUTING, 2017, 260 : 302 - 312
  • [44] Optimization of friction stir welding process of AA7075 aluminum alloy to achieve desirable mechanical properties using ANFIS models and simulated annealing algorithm
    Roshan, S. Babajanzade
    Jooibari, M. Behboodi
    Teimouri, R.
    Asgharzadeh-Ahmadi, G.
    Falahati-Naghibi, M.
    Sohrabpoor, H.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2013, 69 (5-8) : 1803 - 1818
  • [45] The Optimization of the Search Scheme by the Simulated Annealing Algorithm
    Niu, Guangshuo
    PROCEEDINGS OF THE 2016 6TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS, ENVIRONMENT, BIOTECHNOLOGY AND COMPUTER (MMEBC), 2016, 88 : 1378 - 1381
  • [46] Manufacturing a telescopic tube screw using a hydroforming process
    Jeong, Hui Seok
    Ra, Jae Hyun
    Han, Sang Wook
    Moon, Young Hoon
    MATERIALS AND MANUFACTURING PROCESSES, 2019, 34 (04) : 407 - 413
  • [47] A Simulated Annealing Algorithm for Noisy Multiobjective Optimization
    Mattila, Ville
    Virtanen, Kai
    Hamalainen, Raimo P.
    JOURNAL OF MULTI-CRITERIA DECISION ANALYSIS, 2013, 20 (5-6) : 255 - 276
  • [48] Optimization of Reconfigurable Satellite Constellations Using Simulated Annealing and Genetic Algorithm
    Paek, Sung Wook
    Kim, Sangtae
    de Weck, Olivier
    SENSORS, 2019, 19 (04)
  • [49] An Improved Simulated Annealing Algorithm for Process Mining
    Gao, Dianfang
    Liu, Qiang
    2009 13TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN, 2009, : 474 - 479
  • [50] Optimization of Surface Quality of mild steel Machined by Wire EDM using Simulated Annealing Algorithm
    Khan, Ahsan Ali
    Al Hazza, Muataz Hazza F.
    Daud, Mohd Radzi Hj Che
    Kamal, Nor Shahirah Bt Mohamad
    2015 4TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER SCIENCE APPLICATIONS AND TECHNOLOGIES (ACSAT), 2015, : 3 - 8
12345