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dc.contributor.authorYu, Chenliang
dc.contributor.authorZhou, Changguang
dc.contributor.authorFeng, Hutian
dc.contributor.authorZhou, Huaxi
dc.contributor.authorXie, Jinglun
dc.contributor.authorShen, Junwan
dc.contributor.authorMa, Wenwu
dc.date.accessioned2026-08-23T07:15:41Z
dc.date.available2026-08-23T07:15:41Z
dc.date.copyright2026/06/01
dc.date.issued2026
dc.identifier.issn0742-4787
dc.identifier.othertrib-25-1426.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314853
dc.description.abstractAbstract. 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.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleAccurate Modeling and Measurement for Preload in Double-Nut Ball Screws
dc.typeJournal Paper
dc.journal.volume148
dc.journal.issue6
dc.journal.titleJournal of Tribology
dc.identifier.doi10.1115/1.4070740
dc.treeJournal of Tribology:;2026:;volume( 148 ):;issue:006
dc.contenttypeFulltext


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