Modeling and Identification Approach for Tripod Machine Tools

被引:0
|
作者
石勇 [1 ]
刘文涛 [2 ]
机构
[1] College of Power and Energy Engineering,Harbin Engineering University
[2] School of Mechatronic Engineering,Harbin Institute of Technology
关键词
tripod; error sensitivity analysis; calibration; identification;
D O I
10.16356/j.1005-1120.2015.06.665
中图分类号
TG502 [机床设计、制造与维修];
学科分类号
080201 ; 080503 ;
摘要
To improve stiffness and workspace of tripod machine tools,a device called tripod machine tool was proposed with five degrees of freedom.First,the structure and pose description of the tripod machine tool were introduced,and then its backward and forward kinematics models were analyzed.To identify parameters of the tripod machine tool,aparameter identification method based on an error-sensitive analysis was presented.Then geometrical structural identification model was deduced by establishing the pose relative error model at two different points of the tripod machine tool.The method employed a sensitivity matrix by using a difference operator to explain pose changes of the tripod machine tool with respect to its main geometrical structural parameters.Finally,the position error of a tripod machine tool was reduced from 1.74 mm to 0.44 mm.Therefore,the proposed identification method was verified to be effective and feasible.
引用
收藏
页码:665 / 673
页数:9
相关论文
共 50 条
  • [21] Modeling and improvement of dynamic contour errors for five-axis machine tools under synchronous measuring paths
    Lin, Ming-Tzong
    Wu, Shih-Kai
    INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2013, 72 : 58 - 72
  • [22] Workshop-suited geometric errors identification of three-axis machine tools using on-machine measurement for long term precision assurance
    Breitzke, Andre
    Wolfgang, Hintze
    PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY, 2022, 75 : 235 - 247
  • [23] Kinematic modeling and machining precision analysis of multi-axis CNC machine tools based on screw theory
    Yang, Bin
    Zhang, Genbao
    Ran, Yan
    Yu, Hui
    MECHANISM AND MACHINE THEORY, 2019, 140 : 538 - 552
  • [24] An approach for improving machining accuracy of five-axis machine tools
    Peitong Wang
    Jinwei Fan
    Qinzhi Zhao
    Junjian Wang
    The International Journal of Advanced Manufacturing Technology, 2022, 121 : 3527 - 3537
  • [25] An approach for improving machining accuracy of five-axis machine tools
    Wang, Peitong
    Fan, Jinwei
    Zhao, Qinzhi
    Wang, Junjian
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2022, 121 (5-6) : 3527 - 3537
  • [26] A Machine Learning Approach to the Identification of Dynamical Nonlinear Systems
    Biagetti, Giorgio
    Crippa, Paolo
    Falaschetti, Laura
    Turchetti, Claudio
    2019 27TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2019,
  • [27] Development of A New Technique for Modeling and Optimizing Manufacturing Errors for Cn Machine Tools
    Farouk, Messaoud
    Mohamed, Rahou
    Fethi, Sebaa
    JORDAN JOURNAL OF MECHANICAL AND INDUSTRIAL ENGINEERING, 2020, 14 (04) : 381 - 386
  • [28] Identification of Spoken Language using Machine Learning Approach
    Shahriar, Md Asif
    Aziz, Iftekhar
    Banik, Shovan
    Sattar, Abdus
    2020 23RD INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY (ICCIT 2020), 2020,
  • [29] Modeling and Control of Contouring Errors for Five-Axis Machine Tools-Part I: Modeling
    Sencer, Burak
    Altintas, Yusuf
    Croft, Elizabeth
    JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2009, 131 (03): : 0310061 - 0310068
  • [30] Concept for Individual and Lifetime-Adaptive Modeling of the Dynamic Behavior of Machine Tools
    Oexle, Florian
    Heimberger, Fabian
    Puchta, Alexander
    Fleischer, Juergen
    MACHINES, 2024, 12 (02)