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Volume 15
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10.3390/app15169040
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Article

Research on Identification and Application of Joint Surface Characteristic Parameters

by
Yufang Zhou
1,2,
Kexian Liu
1,2,
Qingheng Liu
1,2,*,
Yuhang Li
1,2,
Wenhui Chen
1,2 and
Junfeng Liu
1,2,*
1
College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China
2
National Key Laboratory of Equipment State Sensing and Smart Support, National University of Defense Technology, Changsha 410073, China
*
Authors to whom correspondence should be addressed.
Appl. Sci. 2025, 15(16), 9040; https://doi.org/10.3390/app15169040
Submission received: 17 July 2025 / Revised: 11 August 2025 / Accepted: 15 August 2025 / Published: 15 August 2025
Review Reports Versions Notes

Abstract

The characteristic parameters of fixed joint surfaces, such as stiffness and damping, play a dominant role in determining the overall performance of various mechanical structures, especially in high-performance machine tools. However, accurate characterization of these joint parameters remains challenging, due to a lack of direct validation methods. In this study, we consider the deformation of the base caused by the interaction of micro-convex bodies based on the 3D Kogut and Etsion (KE) model, and modify the characteristic parameter model of joint surfaces. Interfacial fractal parameters were determined using the structural function method, which enabled direct experimental validation of the characteristic parameter model. Finally, a comprehensive dynamic performance analysis of the GP300 grinding machine was conducted, and the results revealed that the joint surface changed the various modes of vibration and the corresponding natural frequencies of the machine tool. These findings deepen our understanding of the characteristic parameters of the binding surface and their effects, and have important guiding significance for the performance analysis and design of machine tools.
Keywords: joint surface; characteristic parameter; micro-asperities; fractal parameter; dynamics joint surface; characteristic parameter; micro-asperities; fractal parameter; dynamics

Share and Cite

MDPI and ACS Style

Zhou, Y.; Liu, K.; Liu, Q.; Li, Y.; Chen, W.; Liu, J. Research on Identification and Application of Joint Surface Characteristic Parameters. Appl. Sci. 2025, 15, 9040. https://doi.org/10.3390/app15169040

AMA Style

Zhou Y, Liu K, Liu Q, Li Y, Chen W, Liu J. Research on Identification and Application of Joint Surface Characteristic Parameters. Applied Sciences. 2025; 15(16):9040. https://doi.org/10.3390/app15169040

Chicago/Turabian Style

Zhou, Yufang, Kexian Liu, Qingheng Liu, Yuhang Li, Wenhui Chen, and Junfeng Liu. 2025. "Research on Identification and Application of Joint Surface Characteristic Parameters" Applied Sciences 15, no. 16: 9040. https://doi.org/10.3390/app15169040

APA Style

Zhou, Y., Liu, K., Liu, Q., Li, Y., Chen, W., & Liu, J. (2025). Research on Identification and Application of Joint Surface Characteristic Parameters. Applied Sciences, 15(16), 9040. https://doi.org/10.3390/app15169040

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