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Author:

Niu, P. (Niu, P..) | Cheng, Q. (Cheng, Q..) | Chen, C. (Chen, C..) | Yang, C. (Yang, C..) | Liu, Z. (Liu, Z..)

Indexed by:

EI Scopus SCIE

Abstract:

Geometric errors in gantry milling machines with long-span beams and large travel can seriously degrade workpiece accuracy. Sensitivity analysis and compensation of geometric errors with coupling and fluctuation can significantly improve the machining performance of machine tools. An accuracy enhancement approach for gantry milling machines is proposed in this paper. Firstly, the geometry error analytic fluctuation eigenfunctions are established by using the high-order Fourier series fitting. Secondly, a non-linear generalized correlation analysis model is proposed to identify the crucial errors that significantly affect the machining accuracy. Thirdly, the motion commands compensated for geometric errors are calculated. Specifically, compared to traditional inverse kinematics, the proposed error compensation process is simple and suitable for most machine tools with orthogonal linear axes. Finally, comparative cutting experiments are performed. The accuracy of the test piece is improved by approximately 34.7 % with error compensation. The effectiveness of the proposed method is validated. © 2024

Keyword:

Error compensation Compensation of milling processing Non-linear generalized correlation Geometric errors Error sensitivity analysis

Author Community:

  • [ 1 ] [Niu P.]Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Cheng Q.]Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Chen C.]Crucial Laboratory of Advanced Manufacturing and Intelligent Technology for High-end CNC Equipment, Jilin University, Jilin, 130022, China
  • [ 4 ] [Yang C.]Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 5 ] [Liu Z.]Crucial Laboratory of Advanced Manufacturing and Intelligent Technology for High-end CNC Equipment, Jilin University, Jilin, 130022, China

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Source :

Journal of Manufacturing Processes

ISSN: 1526-6125

Year: 2024

Volume: 119

Page: 401-413

6 . 2 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 22

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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