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Cluster Computing

, Volume 22, Supplement 4, pp 9145–9150 | Cite as

Research on precision of modular machine tool based on computer aided multi-body system method

  • Hui-qin Li
  • Pan DingEmail author
  • Li Ding
  • Jing-bo Li
  • Xiao-juan Liu
  • Hui Tian
  • Jun-yu Duan
Article

Abstract

Modularity of machine tool, an engineering technology that deals with cost-effective and quick reaction to all the market changes, is urgently needed in the modern manufacturing companies. However, a general accuracy analytical method of modular machine tool is seldom concerned. The basic module error of the machine tool is synthesized by the theory of computer aided multi-body system, a universal accuracy model for modular machine tools has been established. The developed mathematical model is used to calculate and predict the resultant position error at the tool–workpiece interface for error compensation. Results show the method based on the computer aided multi-body system only depends on the motion of module and fits for rapid modeling of computer technology, and error factors such as thermal expansion and deforming under loads can be involved in the analysis processing except the geometric error.

Keywords

Computer aided multi-body system Lower number body array Modularity Machine tool Accuracy 

Notes

Acknowledgements

We are grateful to the anonymous referees for their many valuable and helpful comments. This work was supported by Project of science and technology tackling key project in 2017, Henan provincial science and Technology Department, (No. 172102310355), Key scientific research projects of colleges and universities in 2016, Henan Province, (No. 16A460035), Science and technology research program of Henan Province, (No. 162102210271, No. 172102310737), Basic and frontier technology research program of Henan Province, (No. 142300410294) and Key scientific research projects of colleges and universities in Henan Province, (No. 17B416001).

Compliance with ethical standards

Conflict of interest

The authors declare no conflict of interests.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Hui-qin Li
    • 1
  • Pan Ding
    • 1
    Email author
  • Li Ding
    • 2
  • Jing-bo Li
    • 1
  • Xiao-juan Liu
    • 3
  • Hui Tian
    • 1
  • Jun-yu Duan
    • 4
  1. 1.Key Laboratory of New Materials and Facilities for Rural Renewable Energy, Ministry of Agriculture, Collaborative Innovation Center of Biomass Energy, College of Mechanical and Electrical EngineeringHenan Agricultural UniversityZhengzhouPeople’s Republic of China
  2. 2.Henan Agricultural UniversityZhengzhouPeople’s Republic of China
  3. 3.Zhengzhou Normal UniversityZhengzhouPeople’s Republic of China
  4. 4.Henan Science and Engineering SchoolZhengzhouPeople’s Republic of China

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