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
  • [31] 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
  • [32] THE DEFORMATION SIMULATION ANALYSIS FOR MILLING MACHINING PLANE OF AN ANTENNA FIXTURE COMPONENT
    Pan, Ming-Hui
    Tang, Wen-Cheng
    Ni, Jun
    Xing, Yan
    MATERIAL ENGINEERING AND MECHANICAL ENGINEERING (MEME2015), 2016, : 590 - 598
  • [33] Influence of Initial Residual Stress Distribution on Machining Deformation of Plate Blank
    Gao, Hanjun
    Zhang, Yidu
    Wu, Qiong
    Liu, Chang
    ADVANCES IN ENERGY SCIENCE AND ENVIRONMENT ENGINEERING, 2017, 1829
  • [34] Evaluation and optimization of Weibull component commonality configuration project
    Xu, Li
    Ruan, Minzhi
    Li, Hua
    Zhou, Liang
    Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, 2021, 42 (09):
  • [35] Variable Stiffness Identification and Configuration Optimization of Industrial Robots for Machining Tasks
    Jiachen Jiao
    Wei Tian
    Lin Zhang
    Bo Li
    Junshan Hu
    Yufei Li
    Dawei Li
    Jianlong Zhang
    Chinese Journal of Mechanical Engineering, 2022, 35 (05) : 291 - 306
  • [36] Deformation control in shape machining of CFRP flexible parts
    Su Y.
    Li Y.
    Meng Z.
    Wang Q.
    Gao X.
    Hu J.
    Fuhe Cailiao Xuebao/Acta Materiae Compositae Sinica, 2023, 40 (02): : 1179 - 1189
  • [37] Variable Stiffness Identification and Configuration Optimization of Industrial Robots for Machining Tasks
    Jiachen Jiao
    Wei Tian
    Lin Zhang
    Bo Li
    Junshan Hu
    Yufei Li
    Dawei Li
    Jianlong Zhang
    Chinese Journal of Mechanical Engineering, 2022, 35
  • [38] Variable Stiffness Identification and Configuration Optimization of Industrial Robots for Machining Tasks
    Jiao, Jiachen
    Tian, Wei
    Zhang, Lin
    Li, Bo
    Hu, Junshan
    Li, Yufei
    Li, Dawei
    Zhang, Jianlong
    CHINESE JOURNAL OF MECHANICAL ENGINEERING, 2022, 35 (01)
  • [39] A sparse knowledge embedded configuration optimization method for robotic machining system toward improving machining quality
    Zhang, Teng
    Peng, Fangyu
    Tang, Xiaowei
    Yan, Rong
    Deng, Runpeng
    Zhao, Shengqiang
    ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2024, 90
  • [40] Mathematical Modeling of Aeronautical Monolithic Component Machining Distortion Based on Stiffness and Residual Stress Evolvement
    Huang X.
    Sun J.
    Li J.
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2017, 53 (09): : 201 - 208