| Issue |
MATEC Web Conf.
Volume 349, 2021
6th International Conference of Engineering Against Failure (ICEAF-VI 2021)
|
|
|---|---|---|
| Article Number | 03003 | |
| Number of page(s) | 8 | |
| Section | Components and Structural Elements in Engineering Applications: Design, Detections of Defects, Structural Health Monitoring | |
| DOI | https://doi.org/10.1051/matecconf/202134903003 | |
| Published online | 15 November 2021 | |
Optimal Designs of Tilting-Pad Thrust Bearing operation with the combination of numerical and machine learning techniques
1 Machine Design Laboratory, Department of Mechanical Engineering and Aeronautics, 26500 University of Patras, Greece
2 Machine Design Laboratory, Department of Mechanical Engineering and Aeronautics, 26500 University of Patras, Greece
* Corresponding author: katsaroskmm@gmail.com
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.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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