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- W4309189404 abstract "This paper aims to globally search the optimum slip/no-slip configuration of hydrophobic surface for improving tribological performance of the sliding bearing, such as load carrying capacity and friction loss. The nonlinear limiting shear stress model instead of conventional slip length model is employed to accurately simulate the boundary slippage of the hydrophobic surface. The efficient Monte Carlo search is developed for the optimization design of slip/no-slip configuration in hydrophobic surface without relying on initial configuration and sensitivity. Compared to genetic algorithm, only one numerical reanalysis is required for each Monte Carlo search in slip/no-slip configuration designing. Effect of aspect ratios of the hydrophobic sliding bearing on optimal slip/no-slip configuration is studied. Our results demonstrate the validity of the proposed method. • Monte Carlo search is developed for optimizing slip/no-slip configuration. • Limiting shear stress model is employed to simulate the boundary slippage. • Multi-objective optimization function to optimize slip/no-slip configuration. • Slip zone appears at the corners of the outlet to reduce the surface shear stress. • Effect of bearing aspect ratios on optimal slip/no-slip configuration is studied." @default.
- W4309189404 created "2022-11-24" @default.
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- W4309189404 date "2023-02-01" @default.
- W4309189404 modified "2023-10-17" @default.
- W4309189404 title "Optimization design for slip/no-slip configuration of hydrophobic sliding bearings using Monte Carlo search" @default.
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- W4309189404 doi "https://doi.org/10.1016/j.triboint.2022.108034" @default.
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