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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Autores principales:	Katsaros Konstantinos P., Nikolakopoulos Pantelis G.
Formato:	article
Lenguaje:	EN FR
Publicado:	EDP Sciences 2021
Materias:	Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/ec6cd0c6fb8047f2bf1fa7ae890d8132
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spelling	oai:doaj.org-article:ec6cd0c6fb8047f2bf1fa7ae890d81322021-12-02T17:13:46ZOptimal Designs of Tilting-Pad Thrust Bearing operation with the combination of numerical and machine learning techniques2261-236X10.1051/matecconf/202134903003https://doaj.org/article/ec6cd0c6fb8047f2bf1fa7ae890d81322021-01-01T00:00:00Zhttps://www.matec-conferences.org/articles/matecconf/pdf/2021/18/matecconf_iceaf2021_03003.pdfhttps://doaj.org/toc/2261-236XHydrodynamic 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.Katsaros Konstantinos P.Nikolakopoulos Pantelis G.EDP SciencesarticleEngineering (General). Civil engineering (General)TA1-2040ENFRMATEC Web of Conferences, Vol 349, p 03003 (2021)
institution	DOAJ
collection	DOAJ
language	EN FR
topic	Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Engineering (General). Civil engineering (General) TA1-2040 Katsaros Konstantinos P. Nikolakopoulos Pantelis G. Optimal Designs of Tilting-Pad Thrust Bearing operation with the combination of numerical and machine learning techniques
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.
format	article
author	Katsaros Konstantinos P. Nikolakopoulos Pantelis G.
author_facet	Katsaros Konstantinos P. Nikolakopoulos Pantelis G.
author_sort	Katsaros Konstantinos P.
title	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_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_sort	optimal designs of tilting-pad thrust bearing operation with the combination of numerical and machine learning techniques
publisher	EDP Sciences
publishDate	2021
url	https://doaj.org/article/ec6cd0c6fb8047f2bf1fa7ae890d8132
work_keys_str_mv	AT katsaroskonstantinosp optimaldesignsoftiltingpadthrustbearingoperationwiththecombinationofnumericalandmachinelearningtechniques AT nikolakopoulospantelisg optimaldesignsoftiltingpadthrustbearingoperationwiththecombinationofnumericalandmachinelearningtechniques
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Optimal Designs of Tilting-Pad Thrust Bearing operation with the combination of numerical and machine learning techniques

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