Cutting Force Prediction in Robotic Machining

被引：7
|
作者：
Riviere-Lorphevre, Edouard [1 ]
Huynh, Hoai Nam [2 ]
Ducobu, Francois [1 ]
Verlinden, Olivier [2 ]
机构：
[1] Univ Mons, Machine Design & Mfg Dept, Pl Parc 20, B-7000 Mons, Belgium
[2] Univ Mons, Dynam Vibrat Dept, Theoret Mech, Pl Parc 20, B-7000 Mons, Belgium
来源：
17TH CIRP CONFERENCE ON MODELLING OF MACHINING OPERATIONS (17TH CIRP CMMO) | 2019年 / 82卷
关键词：
Machining; Robot; Simulation; SIMULATION; STABILITY; DYNAMICS; MODEL;
D O I：
10.1016/j.procir.2019.04.143
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Modelling of cutting forces in milling is a key aspect for an accurate simulation of the process. For fast and reliable simulation with 3 axis milling machines, macroscopic approach is often used. The tool is divided in slices around its axis and a mechanistic model is used to predict the elementary cutting forces. In robotic machining, the tool can experience more complex toolpath and its axis may be tilted during machining due to the flexibility of the robot. The paper presents an improvement of the cutting forces model allowing the simulation for cases where the degrees of freedom in rotation of the axis are freed. (C) 2019 The Authors. Published by Elsevier B.V.
引用
收藏
页码：509 / 514
页数：6
相关论文
共 50 条
  • [31] Deep learning-based cutting force prediction for machining process using monitoring data
    Lee, Soomin
    Jo, Wonkeun
    Kim, Hyein
    Koo, Jeongin
    Kim, Dongil
    PATTERN ANALYSIS AND APPLICATIONS, 2023, 26 (03) : 1013 - 1025
  • [32] Development of a virtual machining system, part 1: approximation of the size effect for cutting force prediction
    Ko, JH
    Yun, WS
    Cho, DW
    Ehmann, KF
    INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2002, 42 (15): : 1595 - 1605
  • [33] Prediction of cutting force in ultra-precision machining of nonferrous metals based on strain energy
    Ying Wang
    Zewei Yuan
    Tianzheng Wu
    Heran Yan
    Nanotechnology and Precision Engineering, 2021, 4 (04) : 5 - 15
  • [34] Prediction of cutting force in ultra-precision machining of nonferrous metals based on strain energy
    Wang, Ying
    Yuan, Zewei
    Wu, Tianzheng
    Yan, Heran
    NANOTECHNOLOGY AND PRECISION ENGINEERING, 2021, 4 (04) : 1ENG
  • [35] A flexible ball-end milling system model for cutting force and machining error prediction
    Feng, HY
    Menq, CH
    JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 1996, 118 (04): : 461 - 469
  • [36] Fast Estimation Method of Workpiece Shape in NC Machining Process for Prediction of Instantaneous Cutting Force
    Kaneko, Jun'ichi
    Teramoto, Koji
    Horio, Kenichiro
    Takeuchi, Yoshimi
    SERVICE ROBOTICS AND MECHATRONICS, 2010, : 373 - +
  • [37] Prediction of chatter in NC machining based on a dynamic cutting force model for ball end milling
    Kim, Seon-Jae
    Lee, Han Ul
    Cho, Dong-Woo
    INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2007, 47 (12-13): : 1827 - 1838
  • [38] Deep learning-based cutting force prediction for machining process using monitoring data
    Soomin Lee
    Wonkeun Jo
    Hyein Kim
    Jeongin Koo
    Dongil Kim
    Pattern Analysis and Applications, 2023, 26 (3) : 1013 - 1025
  • [39] A Time-Series Data-Driven Method for Milling Force Prediction of Robotic Machining
    Wu, Kai
    Lu, Yuan
    Huang, Ruyi
    Kuhlenkotter, Bernd
    Li, Weihua
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 73 : 1 - 12
  • [40] A study of the combined effects of machining parameters on cutting force components during high speed robotic trimming of CFRPs
    Slamani, Mohamed
    Gauthier, Sebastien
    Chatelain, Jean-Francois
    MEASUREMENT, 2015, 59 : 268 - 283
12345