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

被引:32
|
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
  • [11] Review on Single and Multi-objective Optimization Process Parameters of EDM Using Taguchi Method and Grey Relational Analysis
    Deshmukh, Swarup S.
    Jadhav, Vijay S.
    Shrivastava, Ramakant
    MATERIALS TODAY-PROCEEDINGS, 2019, 18 : 3856 - 3866
  • [12] Multi-objective optimization of process parameters in cold forging minimizing risk of crack and forging energy
    Kitayama, Satoshi
    Kadoya, Shimon
    Takano, Masahiro
    Kobayashi, Akio
    ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING, 2021, 21 (03)
  • [13] Multi-Objective Optimization of EDM Process Parameters using Taguchi Method, Principal Component Analysis and Grey Relational Analysis
    Balraj, U. Shrinivas
    Krishna, A. Gopala
    INTERNATIONAL JOURNAL OF MANUFACTURING MATERIALS AND MECHANICAL ENGINEERING, 2014, 4 (02) : 29 - 46
  • [14] Multi-objective Design Optimization of the DPMSM Using RSM, Taguchi Method, and Improved Taguchi Method
    Cui, Junguo
    Mei, Lianpeng
    Xiao, Wensheng
    Liu, Zhanpeng
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2024, 19 (03) : 1343 - 1357
  • [15] Multi-objective Fuzzy Optimization Design of Helical Gear Drive
    Liu, Xiaoxing
    Pan, Qiying
    PROCEEDINGS OF THE 2015 INTERNATIONAL INDUSTRIAL INFORMATICS AND COMPUTER ENGINEERING CONFERENCE, 2015, : 1907 - 1911
  • [16] Multi-objective Design Optimization of the DPMSM Using RSM, Taguchi Method, and Improved Taguchi Method
    Junguo Cui
    Lianpeng Mei
    Wensheng Xiao
    Zhanpeng Liu
    Journal of Electrical Engineering & Technology, 2024, 19 : 1343 - 1357
  • [17] Application of Taguchi method for the multi-objective optimization of aluminium foam manufacturing parameters
    Surace, Rossella
    De Filippis, Luigi Alberto Ciro
    Ludovico, Antonio Domenico
    Boghetich, Giancarlo
    INTERNATIONAL JOURNAL OF MATERIAL FORMING, 2010, 3 (01) : 1 - 5
  • [18] Application of Taguchi method for the multi-objective optimization of aluminium foam manufacturing parameters
    Rossella Surace
    Luigi Alberto Ciro De Filippis
    Antonio Domenico Ludovico
    Giancarlo Boghetich
    International Journal of Material Forming, 2010, 3 : 1 - 5
  • [19] Multi-objective optimization of cold extrusion process parameters for spur gear of camion
    Liang Q.
    Zhou J.
    He X.
    Xia Z.
    Liu Z.
    Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), 2017, 48 (12): : 3216 - 3223
  • [20] Multi-objective optimization of gear forging process based on adaptive surrogate meta-models
    Meng, Fanjuan
    Labergere, Carl
    Lafon, Pascal
    Daniel, Laurent
    11TH INTERNATIONAL CONFERENCE ON NUMERICAL METHODS IN INDUSTRIAL FORMING PROCESSES (NUMIFORM 2013), 2013, 1532 : 637 - 643