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author:

Chen, J. (Chen, J..) [1] | Lin, S. (Lin, S..) [2] | He, B. (He, B..) [3]

Indexed by:

Scopus

Abstract:

As the geometric errors of motion axis can be equivalent to the differential movement, regarded as a differential operator based on its ideal position, a new modeling method for multi-axis CNC machines based on differential transform theory is proposed in this paper. First, the workpiece coordinates is selected to observe the errors of the tool pose. Then, a general geometric error model for multi-axis machines is established. Moreover, the Jacobian matrix is applied to describe the relationship between the tool pose error vector and the compensation error vector. All the elements of the matrix are obtained by computing the differential operators instead of computing the partial derivatives. The compensation errors vector is solved using the pseudo-inverse Jacobian matrix. Finally, an automatic modeling procedure is developed to construct the geometric errors for multi-axis machine tools. An experiment on a five-axis machine tool is conducted to test and verify the proposed method. The results show that the proposed method dramatically improves the overall position accuracy of the test tool path. © 2013 Springer-Verlag London.

Keyword:

Automatic modeling; CNC machine tool; Differential transformation; Geometric errors

Community:

  • [ 1 ] [Chen, J.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 2 ] [Lin, S.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 3 ] [He, B.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China

Reprint 's Address:

  • [Chen, J.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China

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Source :

International Journal of Advanced Manufacturing Technology

ISSN: 0268-3768

Year: 2014

Issue: 1-4

Volume: 71

Page: 635-642

1 . 4 5 8

JCR@2014

2 . 9 0 0

JCR@2023

ESI HC Threshold:184

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 66

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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