Optimization of twin grooved two-lobe textured hydrodynamic journal bearing design by using genetic algorithm

IF 1.8 4区工程技术 Q3 ENGINEERING, MECHANICAL

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science Pub Date : 2024-07-24 DOI:10.1177/09544062241256504

Saurabh K. Yadav, Chandra B. Khatri, Abhishek Kumar, Sumita Chaturvedi

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引用次数: 0

Abstract

Surface texture plays a role in enhancing the performance of hydrodynamic journal bearings by reducing friction coefficients and increasing load-carrying capacity. However, its impact on the dynamic performance of the bearings remains largely unexplored. This study aims to fill this gap by investigating the optimized surface texture of twin-grooved two-lobe hydrodynamic journal bearings using genetic algorithms. Through the optimization of surface texture, significant enhancements in the dynamic performance of the bearings, including improvements in fluid film damping, stiffness, and omega threshold speed, are achieved. Utilizing GA optimization, textured bearings demonstrate a remarkable enhancement in dynamic performance, with an impressive increase of 195.55% in omega threshold speed. These findings provide valuable insights for enhancing bearing designs and stability, thereby contributing to advancements in tribological engineering.

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利用遗传算法优化双槽双叶纹理流体动力轴颈轴承设计

表面纹理通过降低摩擦系数和提高承载能力来提高流体动力轴颈轴承的性能。然而，其对轴承动态性能的影响在很大程度上仍未得到研究。本研究旨在利用遗传算法研究双槽双叶流体动力轴颈轴承的优化表面纹理，以填补这一空白。通过优化表面纹理，轴承的动态性能得到显著提高，包括流体膜阻尼、刚度和欧米茄阈值速度的改善。利用遗传算法优化，纹理轴承的动态性能显著提高，欧米茄阈值速度提高了 195.55%，令人印象深刻。这些发现为提高轴承设计和稳定性提供了宝贵的见解，从而推动了摩擦工程学的发展。

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来源期刊

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 工程技术-工程：机械

CiteScore

3.80

自引率

10.00%

发文量

625

审稿时长

4.3 months

期刊介绍： The Journal of Mechanical Engineering Science advances the understanding of both the fundamentals of engineering science and its application to the solution of challenges and problems in engineering.