Robotic Machining from Programming to Process Control

被引:11
|
作者
Pan, Zengxi [1 ]
Zhang, Hui [2 ]
机构
[1] Univ Wollongong, Sch Elect Comp & Telecommun Engn, Wollongong, NSW 2522, Australia
[2] ABB Corp Res China, Shanghai, Peoples R China
关键词
force control; robot programming; CMRR; deformation compensation;
D O I
10.1109/WCICA.2008.4594434
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents the critical issues and methodologies to improve robotic machining performance with industrial robots. A complete solution using active force control is introduced to address various issues arouse during the robotic machining process. Programming complex contour parts without a CAD model is made easy using force control functions such as lead-through and path-learning. The problem of process control is treated with a novel methodology that consists of real-time deformation compensation for quality and controlled material removal rate (CMRR) for process efficiency. Experimental results show that higher productivity as well as better surface quality can be achieved, indicating a promising and practical use of industrial robots for machining applications that is not available at present.
引用
收藏
页码:553 / +
页数:2
相关论文
共 50 条
  • [41] Design of gravity compensation and machining process for robotic belt grinding (invited)
    Peng J.
    Guo B.
    Wang S.
    Nie H.
    Meng B.
    Zhao Q.
    Zhao H.
    Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering, 2023, 52 (09):
  • [42] Influence of process parameters and robot postures on surface quality in robotic machining
    Peng Xu
    Yinghao Gao
    Xiling Yao
    Ye Han Ng
    Kui Liu
    Guijun Bi
    The International Journal of Advanced Manufacturing Technology, 2023, 124 : 2545 - 2561
  • [43] Influence of process parameters and robot postures on surface quality in robotic machining
    Xu, Peng
    Gao, Yinghao
    Yao, Xiling
    Ng, Ye Han
    Liu, Kui
    Bi, Guijun
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2023, 124 (7-8): : 2545 - 2561
  • [44] Process control for robotic surface finishing
    Somes, Steven D.
    Buckmaster, David J.
    Newman, Wyatt S.
    PROCEEDINGS OF THE 2007 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-10, 2007, : 2774 - 2775
  • [45] VIRTUAL ENVIRONMENT IN CONTROL AND PROGRAMMING SYSTEM FOR RECONFIGURABLE MACHINING ROBOT
    Dimic, Zoran
    Milutinovic, Dragan
    Zivanovic, Sasa
    Kvrgic, Vladimir
    TEHNICKI VJESNIK-TECHNICAL GAZETTE, 2016, 23 (06): : 1821 - 1829
  • [46] Process feedback control of the noncircular turning process for camshaft machining
    Sun, Zongxuan
    Tsao, Tsu-Chin
    JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2008, 130 (03):
  • [47] Research on CNC programming and machining process based on CAD/CAM technology
    Zhang S.
    Bai J.
    Applied Mathematics and Nonlinear Sciences, 2024, 9 (01)
  • [48] Robust machining force control with process compensation
    Kim, SI
    Landers, RG
    Ulsoy, AG
    JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2003, 125 (03): : 423 - 430
  • [49] A practical monitoring strategy for machining process control
    Leem, CS
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 1997, 35 (04) : 1051 - 1066
  • [50] Adaptive systems for machining process monitoring and control
    DErrico, GE
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 1997, 64 (1-3) : 75 - 84