Optimization of texture shape based on Genetic Algorithm under unidirectional sliding

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

15 Scopus Citations
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Author(s)

  • Hui Zhang
  • Guo-zhong Dong
  • Dong-ya Zhang
  • Wang-jian Chen
  • Guang-neng Dong

Detail(s)

Original languageEnglish
Pages (from-to)222-232
Journal / PublicationTribology International
Volume115
Online published12 May 2017
Publication statusPublished - Nov 2017

Abstract

A numerical approach was proposed for the optimization of shape contour of recessed surface texture under unidirectional sliding. The approach was developed based on a Genetic Algorithm to improve the tribological performance. Results indicated either bullet or fish shape to be the preferable texture shape contours. Analyses on the hydrodynamic pressure distribution suggested that the increase in hydrodynamic upthrust of the obtained textures being the major reason for their superior tribological behaviors. Experimental tests confirmed that textures of the bullet and fish shapes have lower friction coefficient than those of circular shape, which may verify the simulation results.

Research Area(s)

  • Optimization, Shape, Surface texture, Unidirectional sliding

Citation Format(s)

Optimization of texture shape based on Genetic Algorithm under unidirectional sliding. / Zhang, Hui; Hua, Meng; Dong, Guo-zhong; Zhang, Dong-ya; Chen, Wang-jian; Dong, Guang-neng.

In: Tribology International, Vol. 115, 11.2017, p. 222-232.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal