Optimization design of irregular grooved texture on the surface of sliding pair based on adaptive genetic algorithm
Industrial Lubrication and Tribology
ISSN: 0036-8792
Article publication date: 10 November 2023
Issue publication date: 22 November 2023
Abstract
Purpose
This study aims to investigate the effects of irregular groove textures on the friction and wear performance of sliding contact surfaces. These textures possess multiple depths and asymmetrical features. To optimize the irregular groove texture structure of the sliding contact surface, an adaptive genetic algorithm was used for research and optimization purposes.
Design/methodology/approach
Using adaptive genetic algorithm as an optimization tool, numerical simulations were conducted on surface textures by establishing a dimensionless form of the Reynolds equation and setting appropriate boundary conditions. An adaptive genetic algorithm program in MATLAB was established. Genetic iterative methods were used to calculate the optimal texture structure. Genetic individuals were selected through fitness comparison. The depth of the groove texture is gradually adjusted through genetic crossover, mutation, and mutation operations. The optimal groove structure was ultimately obtained by comparing the bearing capacity and pressure of different generations of micro-convex bodies.
Findings
After about 100 generations of iteration, the distribution of grooved textures became relatively stable, and after about 320 generations, the depth and distribution of groove textures reached their optimal structure. At this stage, irregular texture structures can support more loads by forming oil films. Compared with regular textures, the friction coefficient of irregular textures decreased by nearly 47.01%, while the carrying capacity of lubricating oil films increased by 54.57%. The research results show that irregular texture structures have better lubrication characteristics and can effectively improve the friction performance of component surfaces.
Originality/value
Surface textures can enhance the friction and lubrication performance of metal surfaces, improving the mechanical performance and lifespan of components. However, surface texture processing is challenging, as it often requires multiple experimental comparisons to determine the optimal texture structure, resulting in high trial-and-error costs. By using an adaptive genetic algorithm as an optimization tool, the optimal surface groove structure can be obtained through simulation and modeling, effectively saving costs in the process.
Keywords
Acknowledgements
The authors gratefully acknowledge the support of school-level project of Hubei Polytechnic University (No. 23xjz05A and No. 21xjz15R); Open Fund Project of Hubei Key Laboratory of Intelligent Conveying Technology and Device, Hubei Polytechnic University, China (No. 2022XZ109); The Natural Science Foundation of Hubei Province (No. 2022CFB978); The National Natural Science Foundation of China (No. 52201038); The Key Projects of Hubei Provincial Natural Science Joint Innovation Fund (No. 2023AFD002).
Data availability statement: All data that support the findings of this study are included within the article (and any supplementary files).
Conflict of interest: All authors declare that they have no conflicts of interest.
Citation
Shen, Z., Li, S., Wu, Z., Dong, B., Luo, W. and Zeng, L. (2023), "Optimization design of irregular grooved texture on the surface of sliding pair based on adaptive genetic algorithm", Industrial Lubrication and Tribology, Vol. 75 No. 10, pp. 1208-1218. https://doi.org/10.1108/ILT-06-2023-0196
Publisher
:Emerald Publishing Limited
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