Optimization on initial configuration of monolithic component for machining deformation control

被引:0
|
作者
Feng, Junping [1 ]
Gu, Yifei [1 ]
Tang, Jiawei [2 ]
Wang, Jiawei [1 ]
Du, Zongyang [1 ]
He, Wenbo [3 ,4 ]
Aw, Kean [5 ]
Yang, Yinfei [2 ]
机构
[1] Jiangsu Univ Technol, Sch Mech Engn, Changzhou 213001, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Coll Mech & Elect Engn, Nanjing 210016, Peoples R China
[3] Nanjing Hangdian Intelligent Mfg Technol Co Ltd, Nanjing 210014, Peoples R China
[4] Yangtze River Delta Intelligent Mfg Innovat Ctr, Nanjing 210014, Peoples R China
[5] Univ Auckland, Dept Mech & Mechatron Engn, Auckland, New Zealand
关键词
Monolithic component; Machining deformation; Deformation control; Initial configuration optimization; RESIDUAL-STRESS; WORKPIECE DEFORMATION; THIN; PARTS; REDISTRIBUTION; PREDICTION;
D O I
10.1007/s00170-024-14490-y
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 machining of monolithic components is prone to deformation, which causes a large amount of production resources to be wasted. Therefore, studying the process of initial configuration optimization method to reduce machining deformation is of great significance for the precision machining of monolithic components. In this paper, the concept and mathematical expression of the initial process configuration are proposed for aluminum alloy U-shaped cross-section stringer structural components. The initial configuration optimization problem is formulated with the initial process configuration as the variable and the objective of minimizing machining deformation. An iterative method is used to optimize the initial process configuration. The machining deformation after the optimized configuration was analyzed by finite element simulation and theoretical calculation, and the deformation data error of the two was less than 20%, which verified the correctness of the method proposed in this paper. Machining tests were carried out, and the results show that the proposed initial configuration optimization method can control the deformation of the U-shaped long truss parts within +/- 0.06 mm/m, which is 80-90% less than that before optimization. This initial configuration optimization method has a positive effect on controlling machining deformation.
引用
收藏
页码:1947 / 1954
页数:8
相关论文
共 50 条
  • [21] Machining deformation analysis of aircraft monolithic components based on the energy method
    Huang, Xiaoming
    Liu, Xiaoliang
    Li, Jiaxing
    Chen, Yongbin
    Wei, Dechen
    Ding, Guichu
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2022, 119 (9-10): : 5797 - 5805
  • [22] Optimization of Dynamic Surface Plastic Deformation in Machining
    Tamarkin M.A.
    Tishchenko E.E.
    Shvedova A.S.
    Russian Engineering Research, 2018, 38 (9) : 726 - 727
  • [23] Optimization of Line Configuration and Balancing for Flexible Machining Lines
    LIU Xuemei
    LI Aiping
    CHEN Zurui
    Chinese Journal of Mechanical Engineering, 2016, (03) : 579 - 587
  • [24] Optimization of Line Configuration and Balancing for Flexible Machining Lines
    Liu Xuemei
    Li Aiping
    Chen Zurui
    CHINESE JOURNAL OF MECHANICAL ENGINEERING, 2016, 29 (03) : 579 - 587
  • [25] Optimization of line configuration and balancing for flexible machining lines
    Xuemei Liu
    Aiping Li
    Zurui Chen
    Chinese Journal of Mechanical Engineering, 2016, 29 : 579 - 587
  • [26] Optimization of Line Configuration and Balancing for Flexible Machining Lines
    LIU Xuemei
    LI Aiping
    CHEN Zurui
    Chinese Journal of Mechanical Engineering, 2016, 29 (03) : 579 - 587
  • [27] Study on Prediction of Machining Distortion for Titanium Alloy Aircraft Monolithic Component by FEM
    Yang, Yong
    Li, Huihui
    Meng, Guangyao
    MANUFACTURING SCIENCE AND ENGINEERING, PTS 1-5, 2010, 97-101 : 2951 - 2954
  • [28] Investigation of Machining Process Parameters for Deformation Machining of AA6061 Monolithic Parts to Improve the Process Outputs
    Banerjee, Gaurabh
    Gupta, Ankit Kumar
    Mandaloi, Gangaram
    Nagargoje, Aniket Ramnath
    Tandon, Puneet
    JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE, 2025, 34 (02) : 1668 - 1684
  • [29] A collaborative optimization method of machining sequence for deformation control of double-sided structural parts
    Hao, Xiaozhong
    Li, Yingguang
    Ni, Yang
    Li, Mengqiu
    Liu, Changqing
    International Journal of Advanced Manufacturing Technology, 2020, 110 (11-12): : 2941 - 2953
  • [30] A collaborative optimization method of machining sequence for deformation control of double-sided structural parts
    Xiaozhong Hao
    Yingguang Li
    Yang Ni
    Mengqiu Li
    Changqing Liu
    The International Journal of Advanced Manufacturing Technology, 2020, 110 : 2941 - 2953