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Experimental setup and methodology for the analysis of rail lubricant effectiveness
CQ University.
CQ University.
CQ University.
QR National Ltd, Brisbane.
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2011 (English)In: Proceedings of the 24th International Congress on Condition Monitoring and Diagnosis Engineering Management: COMADEM 2011 / [ed] Maneesh Singh; Raj B.K.N. Rao; J.P. Liyanage, COMADEM International, 2011, 592-598 p.Conference paper (Refereed)
Abstract [en]

Rail and wheel wear is a complex problem. Lubrication plays an important role in reducing wear and enhancing asset life. Curves and switches are the areas of major challenges. Tight curves when running dry shows wear rates higher to rapid wear, increased maintenance costs and non-availability of track due to maintenance or replacement. The economic analysis based on cut-off radius, lubricants and applicators takes a very long time using field data. Rail operators often face difficulties when selecting lubricants. Lubricant manufactures use different test standards when specifying lubricant properties. Four-ball test fails to give a meaningful indication of lubricant performance. The result is often a complex decision problem in ranking different lubricants under a particular axel load. An appropriate selection of lubricant for a particular rail application can give financial returns and extension of asset life. An experimental set up has been proposed in this paper. The experimental results are expected to be used for development of models on effective lubrication. This paper proposes experimental setups and methodology for analysis of lubrication effectiveness in heavy haul lines. Theories along with existing research to date relating to ranking of lubricants for rail applications and a criterion for the ranking is discussed. An analysis is carried out to compare lubricants used in Australian Heavy Haul lines based on manufacturer supplied specifications and experimental results.

Place, publisher, year, edition, pages
COMADEM International, 2011. 592-598 p.
Research subject
Operation and Maintenance; Machine Elements
Identifiers
URN: urn:nbn:se:ltu:diva-39745Local ID: e9be0181-32e7-47c2-81e5-23b6dd95f67fISBN: 954130723OAI: oai:DiVA.org:ltu-39745DiVA: diva2:1013262
Conference
International Congress on Condition Monitoring and Diagnostic Engineering Management : 30/05/2011 - 01/06/2011
Note
Godkänd; 2011; 20110526 (ysko)Available from: 2016-10-03 Created: 2016-10-03Bibliographically approved

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