Volume 8, No. 2, March 2019

General Information

  • ISSN: 2278-0149 (Online)
  • Abbreviated Title:  Int. J. Mech. Eng. Robot. Res.  
  • Editor-in-Chief: ​Prof Richard (Chunhui) Yang, Western Sydney University, Australia
  • Associate Editor: Prof. B.V. Appa Rao, Andhra University; Prof. Ian R. McAndrew, Capitol Technology University, USA
  • Managing Editor: Murali Krishna. B
  • DOI: 10.18178/ijmerr
  • Abstracting/Indexing: Scopus (since 2016), CNKI, Google Scholar, Crossref, etc.
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Research on the Machining Error Analysis Method of Globoidal Indexing Cam Profile

Shu-wen Sun, Jian-wu Yang, Jie Huang, and Si-qi Cao
College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, China

Abstract—The profile of globoidal indexing cam is spatial undevelopable surface. It needs special CNC machine tool to finish batch production. The machining quality of the profile of globoidal indexing cam could be affected by the movement error of each part of machine tool and the clamped positioning error of workpiece. Firstly,this paper analyses the systematic error of the special machine tool of globoidal cam, derives the error transfer matrix, establishes the mathematical model of the globoidal cam profile which including all machining system errors through multi-body system theory primarily. Secondly, it analyzes the influence caused by each machine tool error and calculates the influence coefficient of machine tool errors. Finally, it simulates the influence of each error on the transmission accuracy of globoidal cam mechanism. This paper lays a theoretical foundation for the distribution of machine errors and the error detection, the error evaluation and the error tracing of globoidal cam profile.

 
Index Terms—globoidal cam, special machine tool, multi-body theory, processing error model

Cite: Shu-wen Sun, Jian-wu Yang, Jie Huang, and Si-qi Cao, "Research on the Machining Error Analysis Method of Globoidal Indexing Cam Profile," International Journal of Mechanical Engineering and Robotics Research, Vol. 8, No. 2, pp. 189-195, March 2019. DOI: 10.18178/ijmerr.8.2.189-195