Parametric sensitivity analysis of the friction coefficient of coated textured surface in the rotary vane actuator end seal.
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| Title: | Parametric sensitivity analysis of the friction coefficient of coated textured surface in the rotary vane actuator end seal. |
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| Authors: | Li, Yuqing1 (AUTHOR), Xie, Liangxi2 (AUTHOR) xieliangxi@wust.edu.cn, Hu, Teng3 (AUTHOR), Xie, Jiaqi4 (AUTHOR), Wang, Yue4 (AUTHOR) |
| Source: | Journal of Dispersion Science & Technology. 2026, Vol. 47 Issue 5, p901-912. 12p. |
| Subject Terms: | *Sensitivity analysis, *Surface roughness, *Sliding friction, *Actuators, *Surfaces (Physics), *Hermetic sealing |
| Abstract: | This paper utilizes the extended Fourier amplitude sensitivity test (EFAST) method to analyze the effects of varying speeds on the friction coefficient of the coated textured end seal surface in rotary vane actuators. The analysis focuses on the first-order, total, and coupled sensitivities of root mean square (RMS) roughness, texture depth, and texture area ratio. The accuracy and validity of the numerical simulations are experimentally verified. At low speeds (20 rpm), RMS roughness shows the highest first-order sensitivity, 1.247 and 2.181 times greater than texture depth and texture area ratio. Using Support Vector Regression and Particle Swarm Optimization, the optimal parameters were determined: an RMS roughness ofs 0.1012 μm, a texture area ratio of 77.99%, and a texture depth of 2.9601 μm. The model can also predict the friction coefficient for various parameter combinations at different speeds. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Abstract: | This paper utilizes the extended Fourier amplitude sensitivity test (EFAST) method to analyze the effects of varying speeds on the friction coefficient of the coated textured end seal surface in rotary vane actuators. The analysis focuses on the first-order, total, and coupled sensitivities of root mean square (RMS) roughness, texture depth, and texture area ratio. The accuracy and validity of the numerical simulations are experimentally verified. At low speeds (20 rpm), RMS roughness shows the highest first-order sensitivity, 1.247 and 2.181 times greater than texture depth and texture area ratio. Using Support Vector Regression and Particle Swarm Optimization, the optimal parameters were determined: an RMS roughness ofs 0.1012 μm, a texture area ratio of 77.99%, and a texture depth of 2.9601 μm. The model can also predict the friction coefficient for various parameter combinations at different speeds. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 01932691 |
| DOI: | 10.1080/01932691.2024.2427247 |
