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Modelling and experimental validation of lubricating grease flow
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Fluid and Experimental Mechanics.ORCID iD: 0000-0001-5294-1855
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements.ORCID iD: 0000-0003-4785-7098
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Fluid and Experimental Mechanics.
2016 (English)Conference paper, Oral presentation only (Refereed)
Abstract [en]

Being able to fully model the flow dynamics of grease, including phase separation, will be highly valuable in the design of lubricated machine elements such as rolling element bearings. Complete models will also be a valuable tool in the process of providing tailor-made greases for different applications. An understanding of the grease flow dynamics enables prediction of grease distribution for optimum lubrication and for the migration of wear- and contaminant particles. In this paper the potential of combined analytical modelling, flow visualizations, and numerical modelling in grease flow dynamics is presented. Specifically, the relation between the rheology of the grease and its impact on the flow motion is of interest in combination with validation of the numerical models in simplified geometries. The numerical models then enable simulations in more complex geometries of particular interest for the grease and bearing industry. It is shown that grease flow is heavily influenced by its non-Newtonian properties and the shear rates in the contact, resulting in distinct regions of yielded and un-yielded grease. Further, the numerical models are shown to match well with experiments and analytical models, enabling numerical models on more complicated geometries.

Place, publisher, year, edition, pages
2016.
National Category
Fluid Mechanics and Acoustics Tribology (Interacting Surfaces including Friction, Lubrication and Wear)
Research subject
Fluid Mechanics; Machine Elements
Identifiers
URN: urn:nbn:se:ltu:diva-27623Local ID: 11f18ac7-117b-465d-ad80-3db6b169c403OAI: oai:DiVA.org:ltu-27623DiVA, id: diva2:1000810
Conference
ELGI Annual General Meeting : 16/04/2016 - 19/04/2016
Note
Godkänd; 2016; 20160425 (andbra)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2023-09-05Bibliographically approved

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Westerberg, Lars-GöranHöglund, ErikSarkar, Chiranjit

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