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Generating randomly rough surfaces with given height probability distribution and power spectrum
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements.ORCID iD: 0000-0002-3556-328x
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements.ORCID iD: 0000-0001-7029-1112
2019 (English)In: Tribology International, ISSN 0301-679X, E-ISSN 1879-2464, Vol. 131, p. 591-604Article in journal (Refereed) Published
Abstract [en]

In this work we present a simple method to generate surface topography. The main advantage of the presented method as compared with those available in the literature is that the power spectrum and the height probability distribution can be specified independently. In this article we present the method and show its versatility by generating surface topographies with three different height probability distributions: the Weibull distribution, a bimodal distribution and a distribution containing a delta function that represents worn surfaces. The MATLAB-code we used to generate the numerical examples are also provided to the reader.

Place, publisher, year, edition, pages
Elsevier, 2019. Vol. 131, p. 591-604
Keywords [en]
Roughness, Non-Gaussian, Power-spectrum, Generated surfaces
National Category
Other Mechanical Engineering
Research subject
Machine Elements
Identifiers
URN: urn:nbn:se:ltu:diva-71894DOI: 10.1016/j.triboint.2018.11.020ISI: 000456766000058Scopus ID: 2-s2.0-85057500827OAI: oai:DiVA.org:ltu-71894DiVA, id: diva2:1268211
Note

Validerad;2019;Nivå 2;2018-12-05 (svasva)

Available from: 2018-12-05 Created: 2018-12-05 Last updated: 2025-02-14Bibliographically approved

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Ràfols, Francesc PérezAlmqvist, Andreas

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