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Estimation of rolling friction coefficients in a tribosystem using optical measurements
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Fluid and Experimental Mechanics.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements.ORCID iD: 0000-0002-4826-3569
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements.ORCID iD: 0000-0001-6085-7880
2018 (English)In: Industrial Lubrication and Tribology, ISSN 0036-8792, E-ISSN 1758-5775, Vol. 70, no 4, p. 680-686Article in journal (Refereed) Published
Abstract [en]

Purpose

This paper presents a method to measure the rolling friction coefficient in an easy and fast way. The aim is to measure the rolling friction coefficient between a small steel ball and a cylindrical aluminum surface.

Design/methodology/approach

An analytical model of the tribosystem of a freely rolling ball and a cylindrical surface is established. The rolling friction coefficient is evaluated from images recorded by a high-speed camera. The coefficient between a 1.58 mm diameter steel ball and a cylindrical aluminum surface is measured. A background subtraction algorithm is used to determine the position of the small steel ball.

Findings

The angular positions of the ball are predicted using the analytical model, and good agreement is found between the experimental and theoretical results.

Originality/value

An optical method for evaluating the rolling friction coefficient is presented, and the value of this coefficient between a small steel ball and a cylindrical aluminum surface is evaluated.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2018. Vol. 70, no 4, p. 680-686
National Category
Applied Mechanics Other Mechanical Engineering
Research subject
Experimental Mechanics; Machine Elements
Identifiers
URN: urn:nbn:se:ltu:diva-5804DOI: 10.1108/ILT-04-2016-0087ISI: 000434250800012Scopus ID: 2-s2.0-85048166333Local ID: 3fccd069-0a30-4736-8462-4ac31ed3db8eOAI: oai:DiVA.org:ltu-5804DiVA, id: diva2:978679
Note

Validerad;2018;Nivå 2;2018-06-05 (svasva)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2025-02-14Bibliographically approved

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Li, YilingXi, YinhuShi, Yijun

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