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标 题: A Design of Coverage Area for Textured Surface of Sliding Journal Bearing Based on Genetic Algorithm
基于遗传算法的滑动轴承纹理表面覆盖区域设计
作 者: Dong, Guangneng
Liu, Yang
Zhang, Hui
Hafezi, Mahshid
关键词: journal bearings  [滚动轴承]
microtribology  [ 微摩擦学]
surfaces  [ 表面]
surface texturing  [ 表面纹理]
出版年: 2018
期刊名: Journal of Tribology
摩擦学杂志
年卷期: 2018, vol.140, no.6
摘 要: This paper aims to improve the tribological performance of journal bearings by optimizing the coverage area of circular microtextures in divergent region of the sleeve. A numerical model is proposed to calculate the friction coefficient and bearing load of textured journal bearings. The surface of the sleeve is divided into rectangular squares. Textures that located at the center of rectangular grids are assumed to be present or absent, marked as 1 and 0, respectively. Afterward, different texture coverage area arrangements arc evolved and selected based on the genetic algorithm (GA). The area of semi-elliptical shape is obtained as the novel and preferable textured coverage area design for journal bearings. Influences of width and eccentricity ratio are discussed, which confirm the semimajor and semiminor axes of the semi-elliptical shape of texture coverage area equal to one-third of the circumferential length and half of the width of the journal bearing, respectively.

本文旨在通过优化衬套发散区域中圆形微纹理的覆盖范围,以提升滚动轴承的摩擦学性能。提出了一种数值模型,用于计算带纹理的滚动轴承的摩擦系数和承载能力。将衬套表面划分为矩形网格,位于矩形网格中心的纹理被假设为存在或不存在,分别标记为1和0。随后,基于遗传算法(GA)演化并筛选出不同的纹理覆盖区域布置方案。研究得出一种新颖且更优的纹理覆盖区域设计——半椭圆形区域。文中讨论了宽度与偏心率的影响,结果表明该纹理覆盖区域的半长轴和半短轴分别等于轴承周长的三分之一和宽度的一半。
中文内容为网络AI翻译,专业术语未必准确,仅供参考。

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