Self-adjusting on-line cutting condition for high-speed milling process

被引:0
|
作者
Tien-Dung Hoang
Quang-Vinh Nguyen
Van-Cuong Nguyen
Ngoc-Hien Tran
机构
[1] Hanoi University of Industry,Faculty of Mechanical Engineering
[2] University of Transport and Communications,Faculty of Mechanical Engineering
来源
Journal of Mechanical Science and Technology | 2020年 / 34卷
关键词
ANOVA; Artificial neural network; High speed machining; Self-adjustment; Self-HSM;
D O I
暂无
中图分类号
学科分类号
摘要
The paper presents an intelligent control system for self-adjusting on-line cutting condition for high speed machining (self-HSM) with considering the tool-wear amount to keep the machined product’s quality in allowable limit. For realizing the self-HSM, the empirical analysis of variance (ANOVA) and artifical neural network (ANN) are used. The ANOVA is used for generating the empirical functions which are used as the boundary condition as well as constraint evaluation. The ANN is used for generating the new optimal cutting condition. Then, the self-HSM updates this cutting condition on the real machine — HS Super MC500. The new optimal cutting parameter is sent to the controller for updating the new machining condition to keep the machined part’s quality. The integration of the empirical analysis and ANN enables generating the optimal cutting parameters correctly and efficiently for high-speed milling.
引用
收藏
页码:3335 / 3343
页数:8
相关论文
共 50 条
  • [41] A hybrid cutting force model for high-speed milling of titanium alloys
    Wang, ZG
    Rahman, M
    Wong, YS
    Li, XP
    CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2005, 54 (01) : 71 - 74
  • [42] Cutting forces in high-speed milling of a close alpha titanium alloy
    Xu, JH
    Ren, KQ
    Geng, GS
    ADVANCES IN GRINDING AND ABRASIVE PROCESSES, 2004, 259-2 : 451 - 455
  • [43] Analysis and Research of the Vibration of the High-speed Cutting Process
    Tang, A. M.
    Zhou, Z. X.
    Huang, W. W.
    HIGH SPEED MACHINING, 2011, 188 : 642 - +
  • [44] Simulation of high-speed cutting process based on ABAQUS
    Yu, Xia
    Sun, XuYao
    Wei, DanKe
    FRONTIERS OF MANUFACTURING SCIENCE AND MEASURING TECHNOLOGY, PTS 1-3, 2011, 230-232 : 1221 - +
  • [45] Prediction of cutting power and surface quality, and optimization of cutting parameters using new inference system in high-speed milling process
    Long-Hua Xu
    Chuan-Zhen Huang
    Jia-Hui Niu
    Jun Wang
    Han-Lian Liu
    Xiao-Dan Wang
    Advances in Manufacturing, 2021, 9 : 388 - 402
  • [46] Prediction of cutting power and surface quality, and optimization of cutting parameters using new inference system in high-speed milling process
    Xu, Long-Hua
    Huang, Chuan-Zhen
    Niu, Jia-Hui
    Wang, Jun
    Liu, Han-Lian
    Wang, Xiao-Dan
    ADVANCES IN MANUFACTURING, 2021, 9 (03) : 388 - 402
  • [47] Automatic In-Process Chatter Avoidance in the High-Speed Milling Process
    van Dijk, N. J. M.
    Doppenberg, E. J. J.
    Faassen, R. P. H.
    van de Wouw, N.
    Oosterling, J. A. J.
    Nijmeijer, H.
    JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2010, 132 (03): : 1 - 14
  • [48] A self-adjusting transformer network for detecting transmission line defects
    Weitao Li
    Qianqian Tong
    Jiaqin Gu
    Junchen Li
    Wei Sun
    Qiyue Li
    Neural Computing and Applications, 2024, 36 (9) : 4467 - 4484
  • [49] A high-speed transient simulator for on-line and off-line analysis
    Benson, G.H.
    Dunn, R.W.
    Proceedings of the Universities Power Engineering Conference, 2000,
  • [50] ORIC: A Self-Adjusting Blockchain Protocol with High Throughput
    Xiong, Ting
    Xie, Tao
    Xie, Jin
    Luo, Xiaochun
    19TH IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL AND DISTRIBUTED PROCESSING WITH APPLICATIONS (ISPA/BDCLOUD/SOCIALCOM/SUSTAINCOM 2021), 2021, : 1422 - 1434