Development of anew spring-back factor for a wiping die bending process

被引:13
作者
Phanitwong, Wiriyakorn [1 ]
Thipprakmas, Sutasn [1 ]
机构
[1] King Mongkuts Univ Technol Thonburi, Dept Tool & Mat Engn, Bangkok, Thailand
关键词
Bending; Wiping die; Spring-back; Spring-back factor; Finite element method; FINITE-ELEMENT-ANALYSIS; SHEET-METAL; NEURAL-NETWORK; PREDICTION;
D O I
10.1016/j.matdes.2015.10.031
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In the present study, anew spring-back factor for a wiping die bending process was proposed and characterized to achieve a more accurate predicted bend angle. The analysis was performed on aluminum A1050-H14 using the two-dimensional plane strain modeling of an elasto-plastic, finite element model. The simulated results were validated by comparison with experimental results. It was revealed that, in contrast to previously suggested theories, the spring-back factor depended not only on the ratio of the die radius to workpiece thickness but also on the bend angle. The application of the new spring-back factor, which considers the effects of the bend angle on the bending characteristics in the bending allowance zone and the reversed bending characteristics in the undamped leg of the workpiece, resulted in better accuracy of the bend angle prediction compared with that obtained using the conventional spring-back factor. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:749 / 758
页数:10
相关论文
共 16 条
  • [1] Optimization of springback in L-bending process using a coupled Abaqus/Python']Python algorithm
    Gassara, Faiez
    Hambli, Ridha
    Bouraoui, Tarak
    El Halouani, Foued
    Soulat, Damien
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2009, 44 (1-2) : 61 - 67
  • [2] Springback simulation of advanced high strength steels considering nonlinear elastic unloading-reloading behavior
    Ghaei, A.
    Green, D. E.
    Aryanpour, A.
    [J]. MATERIALS & DESIGN, 2015, 88 : 461 - 470
  • [3] Incorporating feedforward neural network within finite element analysis for L-bending springback prediction
    Jamli, M. R.
    Ariffin, A. K.
    Wahab, D. A.
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2015, 42 (05) : 2604 - 2614
  • [4] Prediction of springback in wipe-bending process of sheet metal using neural network
    Kazan, Recep
    Firat, Mehmet
    Tiryaki, Aysun Egrisogut
    [J]. MATERIALS & DESIGN, 2009, 30 (02) : 418 - 423
  • [5] Experimental determination of spring back and thinning effect of aluminum sheet metal during L-bending operation
    Kumar, K. Dilip
    Appukuttan, K. K.
    Neelakantha, V. L.
    Naik, Padmayya S.
    [J]. MATERIALS & DESIGN, 2014, 56 : 613 - 619
  • [6] Optimization of springback for AZ31 magnesium alloy sheets in the L-bending process based on the Taguchi method
    Kuo, Chun-Chih
    Lin, Bor-Tsuen
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2012, 58 (1-4) : 161 - 173
  • [7] Lange K., 1985, HDB METAL FORMING
  • [8] Time dependent springback of a magnesium alloy
    Li, B.
    McClelland, Z.
    Horstemeyer, S. J.
    Aslam, I.
    Wang, P. T.
    Horstemeyer, M. F.
    [J]. MATERIALS & DESIGN, 2015, 66 : 575 - 580
  • [9] Finite element analysis of springback in L-bending of sheet metal
    Ling, YE
    Lee, HP
    Cheok, BT
    [J]. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2005, 168 (02) : 296 - 302
  • [10] Finite element modelling of unbending tests with damage approach and experimental verification
    Mkaddem, A
    Potiron, A
    Boude, S
    [J]. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2004, 152 (02) : 246 - 255