Die wear analysis and pre-forging process optimization of hot forging for automobile flange fork

被引:1
|
作者
Zheng, Xuewen [1 ]
Zhang, Ying [1 ]
Chen, Zhiying [2 ]
Sun, Libin [3 ]
Dong, Wanpeng [1 ]
Cao, Fenghua [4 ]
Bao, Shiyou [5 ]
Li, Xi [1 ]
Sun, Yan [1 ]
Wang, Xuan [1 ]
Yao, Shuo [2 ]
机构
[1] Shanghai Univ Engn Sci, Sch Mat Engn, Shanghai 201620, Peoples R China
[2] Shanghai Univ Engn Sci, Sch Mech & Automot Engn, Shanghai 201620, Peoples R China
[3] Jiangsu Nanyang Chukyo Technol Co Ltd, Liyang 213311, Jiangsu, Peoples R China
[4] Shanghai Dianji Univ, Sch Mech Engn, Shanghai 200245, Peoples R China
[5] Shanghai Feiye Precis Machinery Mfg Co Ltd, Shanghai 201112, Peoples R China
关键词
Hot forging; Automobile flange fork; High-temperature wear model; Process optimization; RSM; TOOL WEAR; TEMPERATURE; SIMULATION; CONTACT; PIN;
D O I
10.1007/s00170-023-11235-1
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The purpose of this study is to better understand the wear mechanisms of hot forging die, and to propose a high-temperature wear model to predict wear condition of hot forging die more accurately. The wear mechanisms of 5CrMnMo steel at high temperature were investigated with the pin-on-disk wear tests. The results demonstrate that three competing wear mechanisms exist on the worn surface, which are respectively adhesive wear, abrasive wear, and oxidation wear. A modified Archard wear model considering high-temperature wear was proposed. By comparing the simulation results with the experimental wear depth, it shows that the new wear model can accurately predict the wear of 5CrMnMo steel in the high-temperature pin-on-disk wear tests. Based on the proposed high-temperature wear model, taking the forging process of the automobile flange fork as an example, the response surface method (RSM) is applied to optimize the geometric parameters of the preform die of the flange fork to reduce die wear and extend die life. This study will be beneficial to the accurate prediction of die wear and the optimization design of die geometry in hot forging process.
引用
收藏
页码:1701 / 1716
页数:16
相关论文
共 50 条
  • [31] The Simulation and Analysis of the Closed Die Hot Forging Process by A Computer Simulation Approach
    Gohil, Dipakkumar
    IMETI 2011: 4TH INTERNATIONAL MULTI-CONFERENCE ON ENGINEERING AND TECHNOLOGICAL INNOVATION, VOL I, 2011, : 193 - 198
  • [32] Research on Oxidation Wear Behavior of a New Hot Forging Die Steel
    Shi, Yuanji
    Wu, Xiaochun
    JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE, 2018, 27 (01) : 176 - 185
  • [33] Wear Analysis of Forging Tools Used in an Industrial Production Process-Hot Forging in Closed Dies of the "Head-Disk" of an Engine Valve Forging
    Hawryluk, Marek
    Ziemba, Jacek
    Janik, Marta
    Gorski, Piotr
    Dudkiewicz, Lukasz
    Glod, Kornelia
    Krawczyk, Jakub
    MATERIALS, 2021, 14 (22)
  • [34] Analysis and Improvement of an Industrial Process of Hot Die Forging of an Elongated Forging Tipped with a Joggle with the Use of Numerical Simulation Results
    Hawryluk, Marek R.
    Rychlik, Marcin
    Polak, Slawomir
    Zwierzchowski, Maciej
    Dudkiewicz, Lukasz
    Marzec, Jan
    Jablonski, Pawel
    ADVANCES IN SCIENCE AND TECHNOLOGY-RESEARCH JOURNAL, 2023, 17 (02) : 192 - 205
  • [35] Combination gear hot forging process and microstructure optimization
    Huang, Xiaomin
    Zang, Yong
    Ji, Hongchao
    Wang, Baoyu
    Duan, Hailong
    JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T, 2022, 19 : 1242 - 1259
  • [36] Analysis of Die Forging Process and FEA of Piston
    CHENG Jun-wei
    CADDM, 2005, (02) : 19 - 23
  • [37] Influence analysis of shot peening on hot forging die
    Jia, Zhi
    Ji, Jinjin
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2017, 90 (5-8): : 1779 - 1787
  • [38] Influence analysis of shot peening on hot forging die
    Zhi Jia
    Jinjin Ji
    The International Journal of Advanced Manufacturing Technology, 2017, 90 : 1779 - 1787
  • [39] Selection of Heat Treatment Process and Wear Mechanism of High Wear Resistant Cast Hot-Forging Die Steel
    Min-xian Wei
    Shu-qi Wang
    Lan Wang
    Xiang-hong Cui
    Kang-min Chen
    Journal of Iron and Steel Research International, 2012, 19 : 50 - 57