Numerical optimization of the groove texture bottom profile for thrust bearings

被引：55

作者：

Wang, Wei ^{[1
]}

He, Yongyong ^{[1
]}

Zhao, Jun ^{[1
]}

Li, Yang ^{[1
]}

Luo, Jianbin ^{[1
]}

机构：

[1] Tsinghua Univ, State Key Lab Tribol, Beijing 100084, Peoples R China

来源：

TRIBOLOGY INTERNATIONAL | 2017年 / 109卷

关键词：

Surface texture; Hydrodynamic lubrication; Load carrying capacity; GA-SQP hybrid algorithm; SURFACE TEXTURE; LUBRICATION; PERFORMANCES; FRICTION; GEOMETRY; DESIGN; STEEL; SHAPE;

D O I：

10.1016/j.triboint.2016.12.006

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Most of the previous studies on the surface texture were based on pre-determined shapes and distributions, and the global-optimum shapes were uncertain. In this paper, a general parametric model of the groove bottom profile (inner structure, depth profile) of thrust bearings was developed and the GA-SQP hybrid method was adopted to obtain the global -optimum profile of the groove texture bottom. The optimization target was the maximization of the load carrying capacity (LCC) of the oil film. The results verified the superiority of the proposed GA-SQP hybrid method. The mechanism of the optimized bottom profile was investigated using the commercial software FLUENTR.

引用

页码：69 / 77

页数：9

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