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.
Authors
- Yujing Liu (ORCID: https://orcid.org/0000-0002-0250-9631)
- Tao Zhang (ORCID: https://orcid.org/0000-0002-8999-8481)
- Congbin Yang (ORCID: https://orcid.org/0000-0003-1040-6840)
- Zhifeng Liu (ORCID: https://orcid.org/0000-0002-6164-3283)
- Qiang Cheng (ORCID: https://orcid.org/0000-0003-4475-5598)
- Yongsheng Zhao
Institutions
- Beijing Institute of Technology (CN)
- Beijing University of Technology (CN)
- Beijing Agricultural Machinery Research Institute (CN)
- Beijing Chaoyang Emergency Medical Center (CN)
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