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Model validation and uncertainty analysis in the wear prediction of a wet clutch
Department of Mechanical and Industrial Engineering, Louisiana State University.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements.ORCID iD: 0000-0003-3157-4632
Volvo CE.
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Number of Authors: 52016 (English)In: Wear, ISSN 0043-1648, E-ISSN 1873-2577, Vol. 364-365, p. 112-121Article in journal (Refereed) Published
Abstract [en]

An uncertainty quantification analysis is performed to further investigate the nature of the “two-stage” wear process of the paper-based friction lining in a wet clutch. In this approach, the results of a computerized wear prediction model are examined through sensitivity analysis and a model validation that utilizes the Monte Carlo (MC) method. Extensive computational results that take into account the uncertainty and variability in the input data are presented to gain insight into the evolution of temperature and wear during the engagement process.

Place, publisher, year, edition, pages
2016. Vol. 364-365, p. 112-121
National Category
Tribology (Interacting Surfaces including Friction, Lubrication and Wear)
Research subject
Machine Elements
Identifiers
URN: urn:nbn:se:ltu:diva-5701DOI: 10.1016/j.wear.2016.07.007ISI: 000384788600011Scopus ID: 2-s2.0-84979868446Local ID: 3df0e0c1-e528-4961-be9f-a13af8d3a6d2OAI: oai:DiVA.org:ltu-5701DiVA, id: diva2:978575
Note

Validerad; 2016; Nivå 2; 20160815 (andbra)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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Lingesten, NiklasMarklund, Pär

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  • apa
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  • de-DE
  • en-GB
  • en-US
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  • nn-NB
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  • Other locale
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Output format
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