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Numerical evaluation of multilobe bearings using the Spectral Method
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Product and Production Development.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Product and Production Development.ORCID iD: 0000-0001-8216-9464
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Product and Production Development.
2017 (English)In: Advances in Mechanical Engineering, ISSN 1687-8132, E-ISSN 1687-8140, Vol. 9, no 7Article in journal (Refereed) Published
Abstract [en]

Hydropower rotors and pumps have the specificity to be oriented vertically, meaning that the bearing forces have to be evaluated at each time-step depending on the position of the rotor for dynamical analyses. If the bearing forces cannot be evaluated analytically, a suitable numerical method should be used to calculate the pressure distribution over the bearing domain. This process can be computationally expensive as it should be performed for each discrete time-step. As a result, a comparison between the spectral method, the finite difference method, and the finite element method is performed to investigate which method is more adapted to dynamical analysis of the bearing. It is observed that the spectral method has the advantage of having a reasonable simulation time for any eccentricity magnitude with a moderate number of interpolation points. However, this method should be restricted to simple bearing models such as plain bearings or multilobe bearings due to the advantage of finding a global numerical solution directly on the entire bearing/pad domain

Place, publisher, year, edition, pages
Sage Publications, 2017. Vol. 9, no 7
National Category
Applied Mechanics Other Mechanical Engineering
Research subject
Computer Aided Design
Identifiers
URN: urn:nbn:se:ltu:diva-63122DOI: 10.1177/1687814017707135ISI: 000405521000001OAI: oai:DiVA.org:ltu-63122DiVA: diva2:1090350
Note

Validerad; 2017; Nivå 2; 2017-08-16 (andbra)

Available from: 2017-04-24 Created: 2017-04-24 Last updated: 2017-08-17Bibliographically approved

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Thiery, FlorianGantasala, SudhakarAidanpää, Jan-Olov
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