Research on macro-mesoscopic normal dynamic characteristics of sliding joint surface

Wang, Lihua; Yang, Zehao; Yang, Xinyan; Wang, Chunfeng; Huang, Yayu; Deng, Qiangguo

doi:10.1016/j.ymssp.2017.01.007

Cited by 14 publications

(3 citation statements)

References 13 publications

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“…For the lubricated rough surfaces, the normal interfacial stiffness consists of the micro-asperity contact and the lubricant part, acting in parallel (Dwyer-Joyce et al, 2011; Gonzalez-Valadez et al, 2005; Sun et al, 2018; Wang et al, 2018). The normal stiffness of the lubricated interface can be written aswhere k s is the solid component of the normal contact stiffness per unit and k l is the lubricant component of the contact stiffness.…”

Section: Contact Modeling Of the Lubricated Rough Interfacementioning

confidence: 99%

Prediction of the normal contact stiffness between elastic rough surfaces in lubricated contact via an equivalent thin layer

Sun

Chuang

Xiao

et al. 2020

Journal of Vibration and Control

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In this work, the normal contact stiffness of lubricated rough interface is evaluated theoretically by describing the lubricated rough interface as an equivalent thin layer. Layer parameters, including equivalent thickness and effective Young’s modulus, are used to characterize the normal contact stiffness by incorporating the contributions of asperity contact and lubricant contact simultaneously. On the basis of layer parameters, the normal contact stiffness of lubricated rough interface is obtained as a function of interfacial separation, surface topography, and properties of contacting solids and lubricants. Effects of surface topographies and lubricant types on the normal contact stiffness are investigated at varying interfacial separations and contact area fractions. The proportion of solid stiffness and lubricant stiffness from the total normal stiffness is also discussed. Numerical solutions reveal that the normal contact stiffness depends sensitively on the lubricant property at initial contact, whereas the influences of surface topographies become obvious with the decrement of interfacial separation or increment of contact area fraction. Comparisons between the predicted values of normal contact stiffness and experimental data for both dry interface and lubricated interface are presented to validate the rationality of the developed model.

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Section: Contact Modeling Of the Lubricated Rough Interfacementioning

confidence: 99%

Prediction of the normal contact stiffness between elastic rough surfaces in lubricated contact via an equivalent thin layer

Sun

Chuang

Xiao

et al. 2020

Journal of Vibration and Control

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“…For the dynamic modeling of sliding joints, some scholars have set up the relationship among the dynamic parameters of joints by establishing an analytical model. [24][25][26] Based on the principle of the Single-Degree-of-Freedom System, Guo et al 24 derived an analytical model for identifying dynamic stiffness and conducted experiments on a self-developed test sliding platform to obtain the law of sliding speed, interfacial pressure medium, and other factors on the effect of stiffness. Wang et al 25 analyzed the structural characteristics of sliding joints of a double-flat sliding guide and derived the analytical dynamic equation based on the Reynolds equation considering boundary lubrication and fractal theory.…”

Section: Introductionmentioning

confidence: 99%

“…[24][25][26] Based on the principle of the Single-Degree-of-Freedom System, Guo et al 24 derived an analytical model for identifying dynamic stiffness and conducted experiments on a self-developed test sliding platform to obtain the law of sliding speed, interfacial pressure medium, and other factors on the effect of stiffness. Wang et al 25 analyzed the structural characteristics of sliding joints of a double-flat sliding guide and derived the analytical dynamic equation based on the Reynolds equation considering boundary lubrication and fractal theory. Based on the discrete Iwan modeling idea, Zong et al 26 used the Jenkins elements to simulate the tangential stick-slip properties of sliding joints considering features of fractal surfaces under normal loading conditions.…”

Section: Introductionmentioning

confidence: 99%

Dynamic modeling of sliding joints based on transversely isotropic virtual material and deep neural network

Fan,

Zhang,

et al. 2023

Advances in Mechanical Engineering

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Aiming at the problem that the current isotropic virtual material-based modeling method for dynamic modeling of sliding joints can hardly reflect the difference between normal and tangential mechanical properties, which restricts the modeling quality, a transversely isotropic material model is introduced to comprehensively describe the mechanical properties of sliding joints. Firstly, a dynamic model based on transversely isotropic virtual material and Deep Neural Network (DNN) is constructed to reflect the relationship between the dynamic parameters of transversely isotropic virtual material [Formula: see text] and the natural frequencies. Then, using the cuckoo search algorithm, the transversely isotropic virtual material parameters are determined. Subsequently, as an application case, the flat and V-guide joints of the M7120D/H surface grinder are employed to validate the proposed modeling method. Finally, compared to the experimental modal test results, the error of natural frequencies is less than 1%, which achieves high accuracy. Additionally, the quantitative comparison based on the same application case shows that the proposed modeling method is superior to isotropic virtual material and spring damping method.

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Modeling and analysis of nonlinear dynamics of machine tool sliding guide

Song,

Li,

Liu

et al. 2024

Nonlinear Dyn

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Research on macro-mesoscopic normal dynamic characteristics of sliding joint surface

Cited by 14 publications

References 13 publications

Prediction of the normal contact stiffness between elastic rough surfaces in lubricated contact via an equivalent thin layer

Prediction of the normal contact stiffness between elastic rough surfaces in lubricated contact via an equivalent thin layer

Dynamic modeling of sliding joints based on transversely isotropic virtual material and deep neural network

Modeling and analysis of nonlinear dynamics of machine tool sliding guide

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