Elastohydrodynamic Lubrication with Oil Droplets

Li, S. Y.; Guo, Feng; Li, X. M.; Liu, C. L.

doi:10.1007/s11249-017-0944-3

Cited by 7 publications

(2 citation statements)

References 16 publications

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“…Kumar and Kalita [22] considered shear thinning and linear piezo-viscous fluids for simulations during sudden halt and impact loading to normal approach of transient EHL. Li et al [23] studied the properties of EHL of a series of oil droplets when entrained along the center line of the contact zone. Hultquist et al [24] used Tiat's equation and analyzed a finite line EHL contact and its influence on subsurface stress concentrations in the contacting body.…”

Section: Introductionmentioning

confidence: 99%

Newton-GMRES Method for the Solution of Piezo-Viscous Line Contact EHL Problem with Daubechies Wavelet as a Preconditioner

2022

J Mod Ind Manuf

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In the present paper, numerical analysis of the effect of piezo-viscous on line contact elastohydrodynamic lubrication (EHL) problem was performed. Methods:The mathematical formulation of governing equations viz. Reynolds and film thickness equations were solved using Newton-Generalized minimal residual (GMRES) method with Daubechies wavelet as preconditioner. Results:The study pertained to a wide range of parameters involved in the governing equations with the Newton-GMRES scheme, which features lower complexity and overcomes the limitations of conventional numerical schemes. The result showed that the pressure spike was strongly influenced by the piezoviscous effect and sliding ratio, and the minimum film thickness was accurately measured, suggesting the importance of piezo-viscous effects on the EHL problem. Conclusion:The Newton-GMRES method with wavelet preconditioner is one of the most efficient numerical methods and an alternative scheme to other classical numerical methods for the solution of EHL problem.

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Section: Introductionmentioning

confidence: 99%

Newton-GMRES Method for the Solution of Piezo-Viscous Line Contact EHL Problem with Daubechies Wavelet as a Preconditioner

2022

J Mod Ind Manuf

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“…Ultrasonic motors (USMs), new type microactuators, have received widespread attention in the field of aerospace, robotics, precision instruments, and various other applications due to high torque, exceptional start/stop feature, and fast response. [1][2][3][4] Nevertheless, driving efficiency and service lifetime of USMs are limited by friction materials, the heart of the motors. To enhance the properties of USMs, high-performance polymer-based friction materials still need to be optimized immediately.…”

Section: Introductionmentioning

confidence: 99%

Tribological behavior prediction of friction materials for ultrasonic motors using Monte Carlo‐based artificial neural network

Song

Shao

Duan

et al. 2018

J of Applied Polymer Sci

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In this article, the relationship of complexity, diversity, and uncertainty between components and tribological properties of friction materials based on a Monte Carlo-based artificial neural network (MC-ANN) model was predicted precisely. Meanwhile, the grey relational analysis was applied to figure out weight of factors, optimize formulation design, and calculate nonlinear dependency of ingredients. The accuracy of model was studied by comparing experimental and simulated values on the basis of statistical methods (root-mean-squared error). It was found that the model exhibited an excellent performance in predicting and fitting effect. Moreover, comprehensive analysis of weight indicated that nano-SiO 2 and mica exerted a significant role in improving the friction stability and wear resistance. According to different contents of each ingredient, the corresponding friction coefficient and specific wear rate could be obtained by virtue of a well-trained MC-ANN model without experiments, which saved a lot of time and money. It can be expected that the results of this work will extend the current research and pave a route for further in-depth studies of friction materials.

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