Modelling thermomechanical behaviour of multi-axis machine tools

被引:28
|
作者
Delbressine, FLM [1 ]
Florussen, GHJ [1 ]
Schijvenaars, LA [1 ]
Schellekens, PHJ [1 ]
机构
[1] Eindhoven Univ Technol, Dept Mech Engn, NL-5600 MB Eindhoven, Netherlands
关键词
thermal error compensation; telescopic double ball bar; machine tools; extended lumped capacitance method;
D O I
10.1016/j.precisioneng.2005.05.005
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper describes a method to measure and model the thermally induced positioning errors of multi-axis machines. These errors result from changes in temperature distribution of such a machine. To achieve a reduction of the machine's tool positioning errors a generally applicable model has been developed. First the temperature distribution of a machine tool is computed from a limited number of sensors. Using this calculated temperature distribution and a deformation model based on the machine's structural loop and rigid body kinematics the tool positioning error is computed. To validate the developed thermomechanical model a new measuring method based on three-dimensional length measurements has been used. (c) 2005 Elsevier Inc. All rights reserved.
引用
收藏
页码:47 / 53
页数:7
相关论文
共 50 条
  • [31] Comparison of the measurement performance of high precision multi-axis metal cutting machine tools
    Verma, M. R.
    Chatzwagiannis, E.
    Jones, D.
    Maropoulos, P. G.
    [J]. 8TH INTERNATIONAL CONFERENCE ON DIGITAL ENTERPRISE TECHNOLOGY - DET 2014 DISRUPTIVE INNOVATION IN MANUFACTURING ENGINEERING TOWARDS THE 4TH INDUSTRIAL REVOLUTION, 2014, 25 : 138 - 145
  • [32] Squareness error modeling for multi-axis machine tools via synthesizing the motion of the axes
    Fu, Guoqiang
    Fu, Jianzhong
    Gao, Hongli
    Yao, Xinhua
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2017, 89 (9-12): : 2993 - 3008
  • [33] Sensorless tool collision detection for multi-axis machine tools by integration of disturbance information
    Shigematsu, Tetsuya
    Koike, Ryo
    Kakinuma, Yasuhiro
    Aoyama, Tojiro
    Ohnishi, Kouhei
    [J]. FACTORIES OF THE FUTURE IN THE DIGITAL ENVIRONMENT, 2016, 57 : 658 - 663
  • [34] Coupling and Decoupling Measurement Method of Complete Geometric Errors for Multi-Axis Machine Tools
    Wang, Hongwei
    Ran, Yan
    Zhang, Shengyong
    Li, Yulong
    [J]. APPLIED SCIENCES-BASEL, 2020, 10 (06):
  • [35] Squareness error modeling for multi-axis machine tools via synthesizing the motion of the axes
    Guoqiang Fu
    Jianzhong Fu
    Hongli Gao
    Xinhua Yao
    [J]. The International Journal of Advanced Manufacturing Technology, 2017, 89 : 2993 - 3008
  • [36] Development of an open CNC system for multi-axis machine tools based on TwinCAT and .NET
    Liu, Huan
    Liu, Qiang
    [J]. 2015 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, 2015, : 2449 - 2453
  • [37] 3D safe and intelligent trajectory generation for multi-axis machine tools using machine vision
    Ahmad, Rafiq
    Tichadou, Stephane
    Hascoet, Jean-Yves
    [J]. INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2013, 26 (04) : 365 - 385
  • [38] Remote Servo Tuning System for Multi-Axis CNC Machine Tools Using a Virtual Machine Tool Approach
    Lin, Chien-Yu
    Lee, Ching-Hung
    [J]. APPLIED SCIENCES-BASEL, 2017, 7 (08):
  • [39] A general strategy for geometric error identification of multi-axis machine tools based on point measurement
    Zhenjiu Zhang
    Hong Hu
    [J]. The International Journal of Advanced Manufacturing Technology, 2013, 69 : 1483 - 1497
  • [40] A new high-efficiency error compensation system for CNC multi-axis machine tools
    Wang, SM
    Yu, HJ
    Liao, HW
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2006, 28 (5-6): : 518 - 526