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On the loading and unloading of metal-to-metal seals: A two-scale stochastic approach
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: 0000-0001-9110-2819
Shell Global Solutions International BV, Innovation, Research and Development, Rijswijk, The Netherlands.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements.ORCID iD: 0000-0001-7029-1112
2018 (English)In: Proceedings of the Institution of mechanical engineers. Part J, journal of engineering tribology, ISSN 1350-6501, E-ISSN 2041-305X, Vol. 232, no 12, p. 1525-1537Article in journal (Refereed) Published
Abstract [en]

During operation, the mating surfaces of a metal-to-metal seal typically undergo significant plastic deformation, which in turn can have beneficial effect on its performance. In previous studies, it has, for instance, been shown that plastic deformation can provide for better sealing during unloading. Those studies did, however, only consider flow through unrealistically small domains. Therefore, it is possible that this might be a size effect, which would not be apparent in a real situation with a much larger domain. In this paper, we develop a model which can handle real-sized seal domains at the same time as fine details of the surface topography. More precisely, we construct a two-scale model, in which the global scale represents the seal domain and where the influence of the fine details at the local scale are represented by a stochastic element. By means of this stochastic two-scale model, we show that the beneficial effect associated with the plastic deformation persists also when real-sized seal domains are considered.

Place, publisher, year, edition, pages
Sage Publications, 2018. Vol. 232, no 12, p. 1525-1537
Keywords [en]
Contact mechanics, load cycle, Reynolds equation, seals, stochastic, two-scale modelling
National Category
Other Mechanical Engineering
Research subject
Machine Elements
Identifiers
URN: urn:nbn:se:ltu:diva-67695DOI: 10.1177/1350650118755620ISI: 000450295800004Scopus ID: 2-s2.0-85044080716OAI: oai:DiVA.org:ltu-67695DiVA, id: diva2:1183961
Note

Validerad;2018;Nivå 2;2018-11-19 (johcin)

Available from: 2018-02-20 Created: 2018-02-20 Last updated: 2025-02-14Bibliographically approved

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Ràfols, Francesc PérezLarsson, RolandAlmqvist, Andreas

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