Generation of non-Gaussian rough surfaces based on fractal theory and genetic algorithm

IF 6.1 1区工程技术 Q1 ENGINEERING, MECHANICAL

Tribology International Pub Date : 2025-01-15 DOI:10.1016/j.triboint.2025.110530

Haibo Zhang, Shengli Liu, Wenzhong Wang

引用次数: 0

Abstract

A new method that combines the fractal theory, Weibull distribution and genetic algorithm (GA) is proposed in the present study to generate engineering non-Gaussian rough surfaces (NGS) with specified kurtosis and skewness. By adjusting the GA parameters, the generated surfaces cover the NGS corresponding to various machining methods used in engineering. Good agreement was found when compared with real engineering rough surfaces measured experimentally. Compared with the methods in the literature, the advantages of the present method include generating rough surfaces with a much wider range of specified kurtosis and skewness, and with scale-independent and more realistic topography.

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来源期刊

Tribology International 工程技术-工程：机械

CiteScore

10.10

自引率

16.10%

发文量

627

审稿时长

35 days

期刊介绍： Tribology is the science of rubbing surfaces and contributes to every facet of our everyday life, from live cell friction to engine lubrication and seismology. As such tribology is truly multidisciplinary and this extraordinary breadth of scientific interest is reflected in the scope of Tribology International. Tribology International seeks to publish original research papers of the highest scientific quality to provide an archival resource for scientists from all backgrounds. Written contributions are invited reporting experimental and modelling studies both in established areas of tribology and emerging fields. Scientific topics include the physics or chemistry of tribo-surfaces, bio-tribology, surface engineering and materials, contact mechanics, nano-tribology, lubricants and hydrodynamic lubrication.