Accurate Modeling and Measurement for Preload in Double-Nut Ball Screws
Abstract Accurate measurement of ball screw preload, critical for performance optimization, remains a persistent challenge due to the limitations inherent in conventional methods. Based on the validated applicability of Stribeck theory to screw friction behavior, this study establishes a direct relationship between dynamic preload drag torque (DPDT) and preload force through the coefficient of friction (COF), thereby developing a comprehensive methodology for preload calculation. A novel Stribeck-based COF model was established through synchronous measurements under various conditions as a benchmark case. Decomposition of the total DPDT into Coulomb, viscous, and Stribeck-effect components reveals distinct regimes. Simplified empirical equations for preload were further derived through Taylor expansion. Validation demonstrates a mean error below 5% across operating conditions, outperforming traditional formulas (an error of more than 30%). It provides a robust methodology for high-accuracy preload measurement in double-nut ball screws, advancing the fundamental understanding of friction behavior in precision transmission systems and laying the foundation for developing universal models in subsequent research.
Authors
- Zhou Changguang
- Yu Chenliang
- Ma Wenwu
- Zhou Huaxi
- Shen Junwan
- Feng Hutian
- Xie Jinglun
Institutions
- Wuhan Polytechnic University (CN)
- Nanjing University of Science and Technology (CN)
- Ministry of Industry and Information Technology (CN)
Publication Details
- Journal
- Journal of Tribology
- Published
- 2025-12-24
- DOI
- https://doi.org/10.1115/1.4070740
- Primary Topic
- Iterative Learning Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00