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Author:

Fan, J. (Fan, J..) | Mei, Q. (Mei, Q..) | Peng, H. (Peng, H..) | Jin, A. (Jin, A..) | Nin, K. (Nin, K..) | Li, H. (Li, H..)

Indexed by:

Scopus PKU CSCD

Abstract:

This paper focused on the grinding accuracy of an automotive camshaft and executed related research in order to improve the geometric accuracy of MKS8332A CNC camshaft grinder and improved the camshaft grinding accuracy and processing efficiency. A geometric error model of this grinder was analyzed and established by the utilization of multi-body system theory, and the motion constraint equation of precision machining was given. Combining the geometric error parameter identification model based on multi-body system theory with a double ball bar the identification methods were put forward and could identify the geometric error parameters of the grinder well. On the basis of above, the calculation methods for precision NC instructions and inverse contour of cam, ideal NC instructions, grinding errors were all discussed in detail. At last, a fitting method of the cam-shaped curve and the calculation method of the tool path were all given.

Keyword:

Camshaft grinding; Geometric error modeling; Geometric error parameter identification; Multi-body system theory

Author Community:

  • [ 1 ] [Fan, J.]Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Mei, Q.]Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Peng, H.]Beijing No.2 Machine Tool Works, Beijing, 100165, China
  • [ 4 ] [Jin, A.]Beijing University of Technology, Beijing, 100124, China
  • [ 5 ] [Nin, K.]Beijing University of Technology, Beijing, 100124, China
  • [ 6 ] [Li, H.]Beijing University of Technology, Beijing, 100124, China

Reprint Author's Address:

  • [Fan, J.]Beijing University of Technology, Beijing, 100124, China

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Source :

China Mechanical Engineering

ISSN: 1004-132X

Year: 2013

Issue: 16

Volume: 24

Page: 2216-2222

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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