TO IDENTIFY KEY GEOMETRIC ERRORS OF 3-AXIS NC MACHINE TOOL BY MACHINING ACCURACY FAILURE MODE ANALYSIS

被引:0
|
作者
Qi, Baobao [1 ]
Cheng, Qiang [1 ]
Liu, Zhifeng [1 ]
Sun, Dongyang [1 ]
机构
[1] Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Inst Adv Mfg & Intelligent Technol, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Machine tool; machining accuracy failure mode; correlation analysis; geometric error; accuracy design; RELIABILITY SENSITIVITY;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Machine tools usually cut two or more surfaces after the work piece clamped on work table. In order to improve the machining accuracy and optimize accuracy design, it is hoped that the geometric errors that influence the accuracy of machined surface prominently can be known beforehand, so the adjustment will be carried out with a definite objective rather than without any clue. Because the machining accuracy of each direction in 3-D space is different value, in this paper, machining accuracy failure mode was defined as the various combination of the machining accuracy of each direction according to whether it is up to the reserved objective value or not. A three-axis machine tool was selected as an example and there were 7 machining accuracy failure modes for it. Based on the generalized correlation analysis, the correlation relationships between 7 machining accuracyfailure modes were analyzed, and the main failure modes that affect the machining accuracy of work piece to be machined were identified. For each machining accuracy failure mode, key geometric error that had major influence on it was identified based on sensitivity analysis. Finally, four stepped work pieces were milled by a 3-axis machine tool to illustrate the analytical method proposed in this study.
引用
收藏
页数:9
相关论文
共 48 条
  • [1] A GEOMETRIC ACCURACY DESIGN METHOD OF MULTI-AXIS NC MACHINE TOOL FOR IMPROVING MACHINING ACCURACY RELIABILITY
    Cai, Ligang
    Zhang, Ziling
    Cheng, Qiang
    Liu, Zhifeng
    Gu, Peihua
    EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY, 2015, 17 (01): : 143 - 155
  • [2] A Recognition Methodology for the Key Geometric Errors of a Multi-Axis Machine Tool Based on Accuracy Retentivity Analysis
    Guo, Shijie
    Tang, Shufeng
    Zhang, Dongsheng
    COMPLEXITY, 2019, 2019
  • [3] Method of volumetric error compensation for 3-axis NC machine tool
    Wang, Jindong
    Guo, Junjie
    Deng, Yufen
    Li, Haitao
    ADVANCED MANUFACTURING TECHNOLOGY, PTS 1-4, 2012, 472-475 : 2371 - 2376
  • [4] Geometric and force errors compensation in a 3-axis CNC milling machine
    Raksiri, C
    Parnichkun, M
    INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2004, 44 (12-13): : 1283 - 1291
  • [5] Kinematic modelling of a 3-axis NC machine tool in linear and circular interpolation
    Xavier Pessoles
    Yann Landon
    Walter Rubio
    The International Journal of Advanced Manufacturing Technology, 2010, 47 : 639 - 655
  • [6] Kinematic modelling of a 3-axis NC machine tool in linear and circular interpolation
    Pessoles, Xavier
    Landon, Yann
    Rubio, Walter
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2010, 47 (5-8): : 639 - 655
  • [7] A machining test to identify rotary axis geometric errors on a five-axis machine tool with a swiveling rotary table for turning operations
    Ibaraki, Soichi
    Yoshida, Ibuki
    Asano, Tetsushi
    PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY, 2019, 55 : 22 - 32
  • [8] Interference detection and optimal tool selection in 3-axis NC machining of free-form surfaces
    Yang, DCH
    Han, Z
    COMPUTER-AIDED DESIGN, 1999, 31 (05) : 303 - 315
  • [9] Interference detection and optimal tool selection in 3-axis NC machining of free-form surfaces
    Yang, D.C.H.
    Han, Z.
    CAD Computer Aided Design, 1999, 31 (05): : 303 - 315
  • [10] A novel method for machining accuracy reliability and failure sensitivity analysis for multi-axis machine tool
    Peng Niu
    Qiang Cheng
    Caixia Zhang
    Xiaolong Hao
    Congbin Yang
    Chuanhai Chen
    The International Journal of Advanced Manufacturing Technology, 2023, 124 : 3823 - 3836