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Abstract

Ball screws are subjected to complex loads during machining processes, which affects the position accuracy of the feed shaft of machine tools. The lack of a reliable model for analyzing the deformation of the ball screw, coupled with the unclear relationship between the deformation of the ball screw and the position error of the feed shaft, makes it challenging to accurately predict and compensate for the position error. The objective of the present research is to investigate the correlation between the deformation of the ball screw and the position error of the feed shaft to improve the accuracy of the machine tool. First, this paper establishes a FEM model to explore the loading and deformation of the ball screw. Secondly, a method for predicting position errors based on the deformation of the ball screw is proposed. Finally, the ball screw-loading test device is used for the position error compensation experiment to verify the reliability of the prediction method. This paper serves as a reference for understanding the generation mechanism of position errors in machine tool feed systems.

Details

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Title
Prediction and compensation of position error based on deformation analysis of ball screw under complex loads
Author
Wang, Tianxiang 1 ; Chen, Guangyu 1 ; Sun, Jianhong 2 ; Huang, Yitao 2 ; Zhang, Song 1   VIAFID ORCID Logo 

 Shandong University, Key Laboratory for High Efficiency and Clean Mechanical Manufacture of Ministry of Education, School of Mechanical Engineering, Jinan, PR China (GRID:grid.27255.37) (ISNI:0000 0004 1761 1174); Shandong University, Key National Demonstration Center for Experimental Mechanical Engineering Education, Jinan, PR China (GRID:grid.27255.37) (ISNI:0000 0004 1761 1174) 
 JIER Machine-Tool Group Co., Ltd., Jinan, PR China (GRID:grid.27255.37) 
Volume
134
Issue
3-4
Pages
1729-1750
Publication year
2024
Publication date
Sep 2024
Publisher
Springer Nature B.V.
Place of publication
Heidelberg
Country of publication
Netherlands
ISSN
02683768
e-ISSN
14333015
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2024-08-08
Milestone dates
2024-08-05 (Registration); 2023-06-26 (Received); 2024-08-03 (Accepted)
Publication history
 
 
   First posting date
08 Aug 2024
ProQuest document ID
3097264542
Document URL
https://www.proquest.com/scholarly-journals/prediction-compensation-position-error-based-on/docview/3097264542/se-2?accountid=208611
Copyright
© The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
Last updated
2024-09-04
Database
ProQuest One Academic