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Title:Study on springback and optimization on die structure parameters for
Authors: Liu Fei Fan Sheng Liao Hongyi Yu Hanhong Bao Jiading Qu Jingjing Li Hailin 
Unit: Guilin University of Electronic Technology Guilin Fuda Co. Ltd. University of Aerospace Technology 
KeyWords: 65Mn  integral waveform piece  forming and springback  Dynaform  die parameters optimization 
ClassificationCode:U464.9
year,vol(issue):pagenumber:2018,43(9):29-36
Abstract:
For the integral waveform piece 65Mn of the clutch, combining the reverse trial method to determine parameter model, the forming and springback of waveform piece (t=0.6 mm) were simulated by the FEM software Dynaform, and the influences of different virtual forming velocities on stress, strain and spingback of material were analyzed. Then, when the velocity was 200 mm·s-1, the influences of die depth and bending radius on forming height of waveform piece were studied, and the die structure parameters were optimized according to simulation results. Wherein, the spingback increased with the increase of bending radius, and the springback increased and forming height decreased with the decrease of die depth. The experimental results show that when the key parameters of die R1(R2), R3, R4, H1, H2 and H3 are 13.5, 21, 24, 1.8, 1.2 and 1.3 mm respectively, the qualified waveform piece can be produced to meet the requirements of the product, and the simulation results are in good accordance with the results of the product manufactured in factory. Thus, the contact unloading springback process for smaller thickness and higher yield strength can be preferably simulated by software Dynaform.
Funds:
国家自然科学基金资助项目(51605108)
AuthorIntro:
作者简介:刘飞(1985-),男,博士,讲师 E-mail:liufeiguet@163.com 通讯作者:范昇(1988-),男,学士,工程师 E-mail:410920755@qq.com
Reference:

[1]高利平,汪木兰. 基于正交试验的离合器波形片冲压成形工艺参数优化
[J]. 锻压技术,2015,40(11): 32-35.

Gao L P,Wang M L. Optimization of stamping process parameters for cushion segment based on orthogonal experiment
[J]. Forging & Stamping Technology,2015,40(11): 32-35.


[2]张弛,胡应存,梁宝钱,等. 汽车离合器高强度波形片成形回弹数值模拟及模具优化
[J]. 重庆理工大学学报:自然科学版,2012,26 (1):17-21.

Zhang C,Hu Y C,Liang B Q,et al. Study on simulation of springback and optimization design of die for cushion segment of automobile clutch
[J]. Journal of Chongqing University of Technology: Natural Science,2012,26(1): 17-21.


[3]穆瑞,朱晓红,王晓莉. 基于正交试验的波形片冲裁工艺参数优化
[J]. 锻压技术,2016,41(8):159-162.

Mu R,Zhu X H,Wang X L. Optimization on blanking process parameters for cushion segment based on orthogonal experiment
[J]. Forging & Stamping Technology,2016,41(8): 159-162.


[4]刘奎武,边巍. 基于Dynaform的波形片成形回弹研究
[J]. 锻压技术,2015,40(3): 127-130.

Liu K W,Bian W,Study on springback in cushion segment forming based on Dynaform
[J]. Forging & Stamping Technology,2015,40(3): 127-130.


[5]黄伟,李梦群,杨亚威.基于Dynaform的V形件弯曲回弹数值分析
[J]. 锻压技术,2014,39 (6):118 -121.

Huang W,Li M Q,Yang Y W. Numerical analysis of springback for V-shaped pieces based on Dynaform
[J]. Forging & Stamping Technology,2014,39 (6): 118-121.


[6]胡志超,李延平,常勇,等.基于数值模拟的板料冲压成形回弹补偿方法
[J]. 锻压技术,2012,37(2): 163-166.

Hu Z C,Li Y P,Chang Y,et al. Springback compensation method of sheet stamping forming based on numerical simulation
[J]. Forging & Stamping Technology,2012,37(2): 163-166.


[7]张亚岐,穆传坤,阮楹妍,等. 基于MARC的混模法冲压回弹分析
[J]. 塑性工程学报,2017,24 (1): 98-103.

Zhang Y Q,Mu C K,Ruan Y Y,et al. Analysis of mix molding stamping springback based on MARC
[J]. Journal of Plasticity Engineering,2017,24 (1): 98-103.


[8]穆瑞,王晓莉,张咏琴. 基于逆向试算法的波形片成形模具设计
[J]. 锻压技术,2017,42(2): 110-113.

Mu R,Wang X L,Zhang Y Q. Design of forming die for cushion segment based on reverse trial method
[J]. Forging & Stamping Technology,2017,42(2): 110-113.


[9]Bozdemir M,Golcu M. Artificial neural network analysis of springback in V bending
[J]. Journal of Applied Science,2008,8(17): 3038-3043.


[10]Ruffni R,Cao J,Using neural network for springback minimization in a channel forming process
[J].Journal of Materials Processing Technology,1998,107(5): 65-73.


[11]Cao J,Kinsey B,Solla S A. Consistent and minimal springback using a stepped binder force trajectory and neural network control
[J].Journal of Engineering Materials and Technology,2000,122(1): 113-118.
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