Analysis of Precision Loss of Double-Nut Ball Screw Considering Dimensional Error and Preload Degradation

Abstract A ball screw is a critical drive component capable of converting force into motion, with widespread applications in the high-precision mechanisms of various machine tools. The degradation in precision attributed to ball-screw wear significantly impacts machine tool accuracy. Current ball-screw wear models lack consideration for the ramifications of radial forces and ball size errors. This study introduces a pioneering approach by formulating a coupled model that integrates screw wear, ball wear, and preload degradation. Through rigorous analysis, we discern the multifaceted influences of axial force, radial force, preload adjustments, and ball size precision on the positional accuracy of ball screws. By elucidating the intricate interplay among these parameters, this study offers crucial theoretical insights into the selection and optimization of ball screws, thereby fostering advancements in machine tool design and performance.

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Publication Details

Journal
Journal of Tribology
Published
2024-08-20
DOI
https://doi.org/10.1115/1.4066303
Citations
5
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
1.64
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article

Analysis of Precision Loss of Double-Nut Ball Screw Considering Dimensional Error and Preload Degradation

Yujing Liu, Tao Zhang, Congbin Yang, Zhifeng Liu et al.
5 citations
Journal of Tribology
Iterative Learning Control Systems
1.64
article

Analysis of Precision Loss of Double-Nut Ball Screw Considering Dimensional Error and Preload Degradation

Yujing Liu, Tao Zhang, Congbin Yang, Zhifeng Liu, Qiang Cheng, Yongsheng Zhao
article en
5 citations

Abstract

Abstract A ball screw is a critical drive component capable of converting force into motion, with widespread applications in the high-precision mechanisms of various machine tools. The degradation in precision attributed to ball-screw wear significantly impacts machine tool accuracy. Current ball-screw wear models lack consideration for the ramifications of radial forces and ball size errors. This study introduces a pioneering approach by formulating a coupled model that integrates screw wear, ball wear, and preload degradation. Through rigorous analysis, we discern the multifaceted influences of axial force, radial force, preload adjustments, and ball size precision on the positional accuracy of ball screws. By elucidating the intricate interplay among these parameters, this study offers crucial theoretical insights into the selection and optimization of ball screws, thereby fostering advancements in machine tool design and performance.

Journal of TribologyVol. 147(12)
Beijing Institute of Technology (CN), Beijing University of Technology (CN), Beijing Agricultural Machinery Research Institute (CN), Beijing Chaoyang Emergency Medical Center (CN)
Openalex Percentile: Top 16%
Iterative Learning Control Systems
1.64
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