Experimental Investigation of Dynamic Contact Stiffness and Damping in Mixed Lubrication for Machine Tool Sliding Guide Interfaces

This paper presents an experimental study on the dynamic contact stiffness and damping characteristics of hybrid lubricated mechanical motion joint surfaces formed by machine tool sliding guides. A stiffness and damping parameter testing system was established, utilizing an m+p dynamic signal acquis...

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Bibliographic Details
Main Authors: Huailin Li, Haonan Dong, Yunpeng Xi, Zhiqiang Gao
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/vib/2398847
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Summary:This paper presents an experimental study on the dynamic contact stiffness and damping characteristics of hybrid lubricated mechanical motion joint surfaces formed by machine tool sliding guides. A stiffness and damping parameter testing system was established, utilizing an m+p dynamic signal acquisition and analysis system as its centerpiece. In addition, an experimental platform for the static/dynamic basic characteristics of mechanical hybrid lubricated motion joint surfaces was designed and developed. Utilizing the experimental platform, the investigation has delineated the substantial influence exerted by critical parameters, including the preload between mating surfaces, lubricating oil viscosity, amplitude of the excitation force, and the operational velocity of the mating surfaces, on the fundamental characteristic parameters of the interface across diverse operational scenarios. The findings of the research substantiate that meticulous regulation of these parameters is instrumental in augmenting the static and dynamic contact stiffness, as well as the damping properties of the mating surfaces. Consequently, these empirical studies pertaining to the contact characteristic parameters of mating surfaces furnish essential data support for the comprehensive analysis and optimization of both the static and dynamic performance metrics of precision feed systems within machine tool applications.
ISSN:1875-9203