Abstract
It is well known that groove texture with a careful design can be used to enhance the load-carrying capacity of oil film under the conditions of hydrodynamic lubrication. In this study, a general parametric model was developed, and agenetic algorithm-sequential quadratic programming hybrid method was adopted to obtain the global-optimum profile of the groove texture. The optimized profiles at different rotating speeds are all chevrons. The numerical analysis results verified the effect of the optimization. In addition to the numerical optimization, experiments were conducted to validate the superiority of the optimized results.The experimental results show that the optimized groove texture can efficiently reduce the coefficient of friction (COF) and the temperature rise of the specimen. In particular, the optimized groove textures can achieve stable ultra-low COF values (COF < 0.01) under certain conditions.
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Wei WAN. She received her bachelor degree in mechanical engineering in 2012 from Tsinghua University, Beijng, China. After then, she was a Ph.D student in the State Key Laboratory of Tribology at the same university. She has recently obtained her Ph.D degree in mechanical engineering at Tsinghua University. Her research interests include surface texture and hydrodynamic lubrication.
Yongyong HE. He received his M.S and Ph.D degrees in mechanical engineering from Southeast University, Nanjing, China, in 1994 and 1997, respectively. He joined the State Key Laboratory of Tribology at Tsinghua University from 1999. His current position is an associate professor and doctoral supervisor. His research areas cover the lubrication, material surface modification, and Chemical Mechanical Polishing (CMP).
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Wang, W., He, Y., Zhao, J. et al. Optimization of groove texture profile to improve hydrodynamic lubrication performance: Theory and experiments. Friction 8, 83–94 (2020). https://doi.org/10.1007/s40544-018-0247-1
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DOI: https://doi.org/10.1007/s40544-018-0247-1