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Quantification of active bearing input force for vibration reduction performance of unbalanced rotor systems

Recently, rotating machinery has been widely applied in various mechanical systems such as hydroelectric and nuclear power plants. When mechanical systems are operated, the main rotor is rotated to manufacture the product. If a fault occurs in the rotor, then the system is damaged. Thus, to avoid ma...

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Autores principales: Hong, Dongwoo, Lee, Hyeongill, Han, Youkyung, Kim, Byeongil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10238499/
https://www.ncbi.nlm.nih.gov/pubmed/37268743
http://dx.doi.org/10.1038/s41598-023-35993-w
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author Hong, Dongwoo
Lee, Hyeongill
Han, Youkyung
Kim, Byeongil
author_facet Hong, Dongwoo
Lee, Hyeongill
Han, Youkyung
Kim, Byeongil
author_sort Hong, Dongwoo
collection PubMed
description Recently, rotating machinery has been widely applied in various mechanical systems such as hydroelectric and nuclear power plants. When mechanical systems are operated, the main rotor is rotated to manufacture the product. If a fault occurs in the rotor, then the system is damaged. Thus, to avoid malfunction of the system and rotor damage, vibration issues because of bending, misalignment, and imbalance should be considered. In this regard, a smart structure-based active bearing system is extensively researched and developed to control rotor vibration. This system can continuously improve the noise, vibration, and harshness performance under various operating conditions by controlling the dynamic characteristics of the active bearing. This study focused on the effect of rotor motion control by quantifying the active bearing force and phase when an active bearing was applied in a simple rotor model. A simple rotor with two active bearing systems was modeled based on lumped-parameter modeling. In the rotor model, the active bearing, which had two piezoelectric actuators and rubber grommets placed in both the x- and y-directions, was located on both sides to control the vibration. The interaction between the rotor and the active bearing system was considered to quantify the force and phase of this system. Furthermore, through simulation, the motion control effect was validated when an active bearing was applied in the rotor model.
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spelling pubmed-102384992023-06-04 Quantification of active bearing input force for vibration reduction performance of unbalanced rotor systems Hong, Dongwoo Lee, Hyeongill Han, Youkyung Kim, Byeongil Sci Rep Article Recently, rotating machinery has been widely applied in various mechanical systems such as hydroelectric and nuclear power plants. When mechanical systems are operated, the main rotor is rotated to manufacture the product. If a fault occurs in the rotor, then the system is damaged. Thus, to avoid malfunction of the system and rotor damage, vibration issues because of bending, misalignment, and imbalance should be considered. In this regard, a smart structure-based active bearing system is extensively researched and developed to control rotor vibration. This system can continuously improve the noise, vibration, and harshness performance under various operating conditions by controlling the dynamic characteristics of the active bearing. This study focused on the effect of rotor motion control by quantifying the active bearing force and phase when an active bearing was applied in a simple rotor model. A simple rotor with two active bearing systems was modeled based on lumped-parameter modeling. In the rotor model, the active bearing, which had two piezoelectric actuators and rubber grommets placed in both the x- and y-directions, was located on both sides to control the vibration. The interaction between the rotor and the active bearing system was considered to quantify the force and phase of this system. Furthermore, through simulation, the motion control effect was validated when an active bearing was applied in the rotor model. Nature Publishing Group UK 2023-06-02 /pmc/articles/PMC10238499/ /pubmed/37268743 http://dx.doi.org/10.1038/s41598-023-35993-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Hong, Dongwoo
Lee, Hyeongill
Han, Youkyung
Kim, Byeongil
Quantification of active bearing input force for vibration reduction performance of unbalanced rotor systems
title Quantification of active bearing input force for vibration reduction performance of unbalanced rotor systems
title_full Quantification of active bearing input force for vibration reduction performance of unbalanced rotor systems
title_fullStr Quantification of active bearing input force for vibration reduction performance of unbalanced rotor systems
title_full_unstemmed Quantification of active bearing input force for vibration reduction performance of unbalanced rotor systems
title_short Quantification of active bearing input force for vibration reduction performance of unbalanced rotor systems
title_sort quantification of active bearing input force for vibration reduction performance of unbalanced rotor systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10238499/
https://www.ncbi.nlm.nih.gov/pubmed/37268743
http://dx.doi.org/10.1038/s41598-023-35993-w
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