Multi-objective optimization of process parameters for the helical gear precision forging by using Taguchi method

被引:31
|
作者
Feng, Wei [2 ]
Hua, Lin [1 ]
机构
[1] Wuhan Univ Technol, Sch Automot Engn, Hubei Key Lab Adv Technol Automot Parts, Wuhan 430070, Peoples R China
[2] Wuhan Univ Technol, Sch Mat Sci & Engn, Wuhan 430070, Peoples R China
关键词
Helical gear precision forging; Multi-objective optimization; Taguchi method; Finite element method; Orthogonal design; MULTIPLE PERFORMANCE-CHARACTERISTICS; DIE SHAPE DESIGN; SENSITIVITY-ANALYSIS;
D O I
10.1007/s12206-011-0430-z
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Precision forging of the helical gear is a complex metal forming process under coupled effects with multi-factors. The various process parameters such as deformation temperature, punch velocity and friction conditions affect the forming process differently, thus the optimization design of process parameters is necessary to obtain a good product. In this paper, an optimization method for the helical gear precision forging is proposed based on the finite element method (FEM) and Taguchi method with multi-objective design. The maximum forging force and the die-fill quality are considered as the optimal objectives. The optimal parameters combination is obtained through S/N analysis and the analysis of variance (ANOVA). It is shown that, for helical gears precision forging, the most significant parameters affecting the maximum forging force and the die-fill quality are deformation temperature and friction coefficient. The verified experimental result agrees with the predictive value well, which demonstrates the effectiveness of the proposed optimization method.
引用
收藏
页码:1519 / 1527
页数:9
相关论文
共 50 条
  • [31] Multi-objective optimization of forging surface structure parameters of radial forging die with cycloidal
    Wang, Junshi
    Wang, Zhaohui
    Xu, Wenxia
    Du, Zun
    Wang, Hongxia
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2023, 129 (11-12): : 5709 - 5727
  • [32] Multi-objective optimization of forging surface structure parameters of radial forging die with cycloidal
    Junshi Wang
    Zhaohui Wang
    Wenxia Xu
    Zun Du
    Hongxia Wang
    The International Journal of Advanced Manufacturing Technology, 2023, 129 : 5709 - 5727
  • [33] Assembly process planning using a multi-objective optimization method
    Qin Yong-fa
    Xu zhi-gang
    2007 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS I-V, CONFERENCE PROCEEDINGS, 2007, : 593 - +
  • [34] Particle Swarm Optimization for Cylinder Helical Gear Multi-objective Design problems
    Mo Yuanbin
    EMERGING SYSTEMS FOR MATERIALS, MECHANICS AND MANUFACTURING, 2012, 109 : 216 - 221
  • [35] Multi-objective Optimization Design of the Helical Cylindrical Gear Transmission Based on ISIGHT
    Chen, Jing
    Yang, Liangliang
    Wu, Zhenyang
    MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY, 2014, 556-562 : 1021 - 1025
  • [36] An optimization method for radial forging process using ANN and Taguchi method
    M. Sanjari
    A. Karimi Taheri
    M. R. Movahedi
    The International Journal of Advanced Manufacturing Technology, 2009, 40 : 776 - 784
  • [37] An optimization method for radial forging process using ANN and Taguchi method
    Sanjari, M.
    Taheri, A. Karimi
    Movahedi, M. R.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2009, 40 (7-8): : 776 - 784
  • [38] Optimization of Turning Process Parameters using Multi-objective Evolutionary algorithm
    Datta, Rituparna
    Majumder, Anima
    2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2010,
  • [39] Multi-objective process parameters optimization of SLM using the ensemble of metamodels
    Li, Jingchang
    Hu, Jiexiang
    Cao, Longchao
    Wang, Shengyi
    Liu, Huaping
    Zhou, Qi
    JOURNAL OF MANUFACTURING PROCESSES, 2021, 68 : 198 - 209
  • [40] Multi-objective Optimization of FSW Process Parameters of Aluminium Alloy Using Taguchi-Based Grey Relational Analysis
    N. D. Ghetiya
    K. M. Patel
    A. J. Kavar
    Transactions of the Indian Institute of Metals, 2016, 69 : 917 - 923