A novel method for automatic detection of incipient micropitting in ground surfaces

Britton, William Michael ORCID: https://orcid.org/0000-0002-5388-7608, Clarke, Alastair ORCID: https://orcid.org/0000-0002-3603-6000 and Evans, Henry ORCID: https://orcid.org/0000-0002-6989-0190 2021. A novel method for automatic detection of incipient micropitting in ground surfaces. Tribology International 159 , 106959. 10.1016/j.triboint.2021.106959

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Abstract

Micropitting is a surface fatigue phenomenon, on the scale of the surface roughness, which can be a significant problem in heavily loaded mixed lubrication contacts in power transmission gearing. Modern surface profilometry equipment allows detailed areal measurements of micropitted surfaces to be obtained. However, the processing of these surfaces to determine the extent of micropitting is difficult and often involves manual or semi-manual evaluation. This paper presents a new algorithm to allow the automated detection of micropits in areal surface measurements of ground surfaces, and its effectiveness is demonstrated by examination of measurements taken from a test where the early stages of micropitting developed. Comparison with previous methods for evaluating the amount of micropitting based on linear surface profiles clearly illustrates the truly three-dimensional nature of incipient micropitting.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Publisher:	Elsevier
ISSN:	0301-679X
Funders:	EPSRC
Date of First Compliant Deposit:	2 March 2021
Date of Acceptance:	26 February 2021
Last Modified:	05 May 2023 19:48
URI:	https://orca.cardiff.ac.uk/id/eprint/139214

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