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dc.contributor.authorGheller, Edoardo
dc.contributor.authorVardhan Reddy, Vishnu
dc.contributor.authorKoyyalamudi, Satish
dc.contributor.authorChatterton, Steven
dc.contributor.authorPanara, Daniele
dc.contributor.authorPennacchi, Paolo
dc.date.accessioned2024-04-24T22:26:09Z
dc.date.available2024-04-24T22:26:09Z
dc.date.copyright12/26/2023 12:00:00 AM
dc.date.issued2023
dc.identifier.issn0742-4795
dc.identifier.othergtp_146_04_041019.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4295212
dc.description.abstractThe necessity of increasing the efficiency and reducing the carbon foot-print of machines is pushing centrifugal compressor bearings design to higher and higher peripheral speed and lower oil consumptions especially in the new energy transition fields, resulting in an increase in the bearing temperatures. Therefore, the bearing thermal management starts to play a major role in extending the machine operability and reducing the maintenance frequency. A full three-dimensional (3D) parametric conjugate heat transfer computational fluid dynamic (CFD) model for tilting pad journal bearings (TPJBs) is introduced in this paper to address the temperature aspects of oil-film bearings. The parametric geometry of the model and the automatic mesh update, allow the equilibrium position search to be obtained without adopting any dynamic mesh algorithms. The tilting pad and rotating shaft equilibrium position are automatically calculated with a Newton–Raphson algorithm. The static performance of the TPJB is investigated for different journal diameters, bearing clearance, and operating conditions. The numerical results obtained are compared with experimental data from compressor mechanical running tests to demonstrate the reliability of the model presented. The 3D distributions of the oil pressure, velocity, and temperature given by the CFD model, can be locally optimized to face the new energy transition challenges.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleTilting Pad Journal Bearing Computational Fluid Dynamic Parametric Modeling for New Energy Transition Challenges
dc.typeJournal Paper
dc.journal.volume146
dc.journal.issue4
dc.journal.titleJournal of Engineering for Gas Turbines and Power
dc.identifier.doi10.1115/1.4063831
dc.journal.fristpage41019-1
dc.journal.lastpage41019-9
dc.page9
dc.treeJournal of Engineering for Gas Turbines and Power:;2023:;volume( 146 ):;issue: 004
dc.contenttypeFulltext


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