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Optimization of cylinder liner macro-scale surface texturing in marine diesel engines based on teaching–learning-based optimization algorithm
Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology ( IF 2 ) Pub Date : 2020-03-09 , DOI: 10.1177/1350650120911563
Salaheldin A Mohamad 1 , Mohamed A Kamel 2
Affiliation  

This paper investigates the effect of optimum macro-scale cylinder liners oil groove on the tribological behavior of large bore marine diesel engines. Parabolic bottom shape grooves are selected as the cylinder liner surface texturing. The grooves have been distributed along the stroke in the form of array of circumferential cells with the axial groove centered in each cell. Teaching–learning-based optimization algorithm is applied to get the optimum dimensions of oil grooves, where the objective is to minimize the cyclic average total friction force between the top compression piston ring and the cylinder liner. Numerical simulation based on Reynolds equation is presented to study the effect of optimum grooves’ dimensions on tribological parameters such as hydrodynamic friction, asperity contact pressure, and hydrodynamic oil film pressure. Results showed that the optimum dimensions oil grooves have a significant effect on the total friction force and the cavitation pressure of the oil film.

中文翻译:

基于教学优化算法的船用柴油机缸套宏观表面织构优化

本文研究了优化宏观缸套油槽对大口径船用柴油机摩擦学行为的影响。缸套表面纹理选择抛物线形底部凹槽。凹槽以圆周单元阵列的形式沿行程分布,轴向凹槽位于每个单元的中心。应用基于教学的优化算法来获得油槽的最佳尺寸,其目标是最小化顶部压缩活塞环和气缸套之间的循环平均总摩擦力。提出了基于雷诺方程的数值模拟来研究最佳凹槽尺寸对摩擦学参数的影响,如流体动力摩擦、粗糙接触压力和流体动力油膜压力。
更新日期:2020-03-09
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