Study on Geometric Error Model of CNC Machine Tools under Actual Working Condition

  • Lei Li
  • , Zhong Cui
  • , Yang Li
  • , Zhongting Liu
  • , Wenlei He
  • , Huijie Zhang
  • , Wanhua Zhao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The machining error of CNC machine tools comes from the positional error between the workpiece and the tool, which is generally predicted and compensated by the geometric error model. However, the currently established geometric error model based on multi-body kinematic theory cannot consider the shape and position errors of the parts comprehensively. Therefore, this paper proposed a geometric error model that can consider the actual working conditions of machine tools. The model characterized the geometric elements of the parts with discrete coordinate point sets, and determined the error transfer relationship between the geometric error of the parts and the geometric error of the whole machine through the method of determining the equivalent mounting datum at the three highest points and the actual assembly process, and predictsed the relative positional error of the tool and the workpiece under the actual working conditions. In this paper, the geometric error model of Y-axis motion was established by taking the horizontal axis of a vertical machining center as an example. Based on this, the correctness of the established geometric error model was verified by the test experiments on this vertical machining center.

Original languageEnglish
Title of host publicationProceedings - 2023 2nd International Conference on Advanced Sensing, Intelligent Manufacturing, ASIM 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages202-207
Number of pages6
ISBN (Electronic)9798350385571
DOIs
StatePublished - 2023
Event2nd International Conference on Advanced Sensing, Intelligent Manufacturing, ASIM 2023 - Changsha, China
Duration: 23 Dec 202324 Dec 2023

Publication series

NameProceedings - 2023 2nd International Conference on Advanced Sensing, Intelligent Manufacturing, ASIM 2023

Conference

Conference2nd International Conference on Advanced Sensing, Intelligent Manufacturing, ASIM 2023
Country/TerritoryChina
CityChangsha
Period23/12/2324/12/23

Keywords

  • coordinate transformation
  • discrete characterization
  • error transfer relationship
  • geometric error model

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