Home
Editorial Committee
Brief Instruction
Back Issues
Instruction to Authors
Submission on line
Contact Us
Chinese

  The journal resolutely  resists all academic misconduct, once found, the paper will be withdrawn immediately.

Title:Coefficient correction and visual verification on Archard wear model for crankshaft forging die
Authors:  
Unit:  
KeyWords:  
ClassificationCode:TG316
year,vol(issue):pagenumber:2024,49(1):202-209
Abstract:

 Due to the influence of alternating stress during the actual production process, hot forging mold has complex stress conditions and a very harsh service environment. Therefore, based on the Archerd wear model, the wear coefficient K value of the wear model was calculated by comparing the finite element simulation result of a typical crankshaft forging die with the actual wear amount to obtain a modified Archerd wear model suitable for the hot forging production of crankshaft. Then, the die life was predicted by the modified Archerd wear model, and the wear and failure of the die were judged based on the machine vision system. The results show that the correction value of K is 1.425×10-7, and the agreement with the actual measured value is 91.47%. The predicted life is 6351 pieces, which is consistent with the actual production condition of 6400 pieces. Machine vision judgment is performed on the wear and failure die to verify the feasibility of machine vision technology in forging die wear detection. 

Funds:
AuthorIntro:
作者简介:李朝昆(1996-),男,硕士 E-mail:444580543@qq.com 通信作者:曾 琦(1974-),女,博士,研究员 E-mail:laxzengq@163.com
Reference:

 [1]  田福祥,王者静.现代模具技术及其进展[J].模具制造,2002,(3):3-6.


Tian F X,Wang Z J. Modern mold technology and its progress [J]. Mold Manufacturing,2002,(3): 3-6.

[2]  徐华,胡双锋,付秀娟.基于Deform的三缸曲轴模锻设计[J].锻压技术,2022,47(1):161-167.

Xu H,Hu S F,Fu X J. Design of three cylinder crankshaft die forging based on Deform [J]. Forging & Stamping Technology,2022,47(1): 161-167. 

[3]  金飞翔,董奇,徐梦洁.基于有限元铝合金复杂精密锻造模具失效分析及优化[J].锻压技术,2023,48(2):180-184.  

Jin F X,Dong Q,Xu M J. Failure analysis and optimization of complex precision forging dies for aluminum alloy based on finite element method [J]. Forging & Stamping Technology,2023,48(2): 180-184.

[4]  陈小刚,陈贵清.基于Archard理论的曲轴模具磨损研究[J].热加工工艺,2013,42(7):125-127.

Chen X G,Chen G Q. Research on crankshaft die wear based on Archard theory [J]. Hot Working Technology,2013,42(7): 125-127.

[5]  车路长,蒋平,刘俊,等.Ti-6Al-4V钛合金筋板类吊挂锻造成形工艺优化及模具磨损研究[J].精密成形工程,2022,47(10):250-256.

Che L C,Jiang P,Liu J,et al. Optimization of Ti-6Al-4V titanium alloy suspension forging process and research on mold wear [J]. 

Journal of Netshape Forming Engineering,2022,47(10): 250-256.

[6]  Lukasz Dworzak,Hawryluk M R,Ziemba J P. Wear analysis of die inserts in the hot forging process of a forked type forging using reverse scanning techniques[J]. Advances in Science and Technology-Research Journal,2017,11(4): 225-238.

[7]  Cai L G,Liu H D,Li D,et al. Mold wear during die forging based on variance analysis and prediction of die life [J]. Transactions of Nanjing University of Aeronautics and Astonautis,2020,37(6): 872-883.

[8]  Ulf Sthlberg,Jonas Hallstrm. A comparison between two wear models[J]. Journal of Materials Processing Technology,1999,87(1-3): 223-229.

[9]  蒋钰钢.高速切削加工过程有限元仿真研究[D].重庆:重庆大学,2019.

Jiang Y G. Finite Element Simulation Research on High Speed Cutting Process [D]. Chongqing: Chongqing University,2019.

[10]Rabinowicz E. New coefficients predict wear of metal parts[J].Product Engineering,1958,29:71-73. 

[11]Rabinowicz E. Wear coefficients-Metals[J].Wear Control Handbook,1980,103(2):188-194.

[12]Obiko J O,Mwema F M. Forging optimization process using numerical simulation and Taguchi method [J]. SN Applied Sciences,2020,5(33): 712-721.
Service:
This site has not yet opened Download Service】【Add Favorite
Copyright Forging & Stamping Technology.All rights reserved
 Sponsored by: Beijing Research Institute of Mechanical and Electrical Technology; Society for Technology of Plasticity, CMES
Tel: +86-010-62920652 +86-010-82415085     Fax:+86-010-62920652
Address: No.18 Xueqing Road, Beijing 100083, P. R. China
 E-mail: fst@263.net    dyjsgg@163.com