Optimal Designs of Tilting-Pad Thrust Bearing operation with the combination of numerical and machine learning techniques

Hydrodynamic thrust bearings are machine elements used in many rotating machinery in order to support axial loads. The investigation of the lubrication in such mechanisms using numerical analysis methods has been the major subject of many studies over the years. Furthermore, the evolution of technol...

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Main Authors: Katsaros Konstantinos P., Nikolakopoulos Pantelis G.
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:MATEC Web of Conferences
Online Access:https://www.matec-conferences.org/articles/matecconf/pdf/2021/18/matecconf_iceaf2021_03003.pdf
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author Katsaros Konstantinos P.
Nikolakopoulos Pantelis G.
author_facet Katsaros Konstantinos P.
Nikolakopoulos Pantelis G.
author_sort Katsaros Konstantinos P.
collection DOAJ
description Hydrodynamic thrust bearings are machine elements used in many rotating machinery in order to support axial loads. The investigation of the lubrication in such mechanisms using numerical analysis methods has been the major subject of many studies over the years. Furthermore, the evolution of technology in the last decade brought the concept of industry 4.0 and machine learning techniques have started to play important role in the operational optimization of such assemblies. The aim of this study is to examine optimal designs of tilting pad thrust bearings by combining numerical analysis and machine learning techniques.
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spelling doaj.art-ec6cd0c6fb8047f2bf1fa7ae890d81322022-12-21T21:47:39ZengEDP SciencesMATEC Web of Conferences2261-236X2021-01-013490300310.1051/matecconf/202134903003matecconf_iceaf2021_03003Optimal Designs of Tilting-Pad Thrust Bearing operation with the combination of numerical and machine learning techniquesKatsaros Konstantinos P.0Nikolakopoulos Pantelis G.1Machine Design Laboratory, Department of Mechanical Engineering and AeronauticsMachine Design Laboratory, Department of Mechanical Engineering and AeronauticsHydrodynamic thrust bearings are machine elements used in many rotating machinery in order to support axial loads. The investigation of the lubrication in such mechanisms using numerical analysis methods has been the major subject of many studies over the years. Furthermore, the evolution of technology in the last decade brought the concept of industry 4.0 and machine learning techniques have started to play important role in the operational optimization of such assemblies. The aim of this study is to examine optimal designs of tilting pad thrust bearings by combining numerical analysis and machine learning techniques.https://www.matec-conferences.org/articles/matecconf/pdf/2021/18/matecconf_iceaf2021_03003.pdf
spellingShingle Katsaros Konstantinos P.
Nikolakopoulos Pantelis G.
Optimal Designs of Tilting-Pad Thrust Bearing operation with the combination of numerical and machine learning techniques
MATEC Web of Conferences
title Optimal Designs of Tilting-Pad Thrust Bearing operation with the combination of numerical and machine learning techniques
title_full Optimal Designs of Tilting-Pad Thrust Bearing operation with the combination of numerical and machine learning techniques
title_fullStr Optimal Designs of Tilting-Pad Thrust Bearing operation with the combination of numerical and machine learning techniques
title_full_unstemmed Optimal Designs of Tilting-Pad Thrust Bearing operation with the combination of numerical and machine learning techniques
title_short Optimal Designs of Tilting-Pad Thrust Bearing operation with the combination of numerical and machine learning techniques
title_sort optimal designs of tilting pad thrust bearing operation with the combination of numerical and machine learning techniques
url https://www.matec-conferences.org/articles/matecconf/pdf/2021/18/matecconf_iceaf2021_03003.pdf
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