Abstract

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.

Details

Title
Quantification of active bearing input force for vibration reduction performance of unbalanced rotor systems
Author
Hong, Dongwoo 1 ; Lee, Hyeongill 2 ; Han, Youkyung 3 ; Kim, Byeongil 1 

 Yeungnam University, School of Mechanical Engineering, Gyeongsan, Republic of Korea (GRID:grid.413028.c) (ISNI:0000 0001 0674 4447) 
 Kyungpook National University, School of Automotive Engineering, Sangju, South Korea (GRID:grid.258803.4) (ISNI:0000 0001 0661 1556) 
 Seoul National University of Science and Technology, Department of Civil Engineering, Seoul, South Korea (GRID:grid.412485.e) (ISNI:0000 0000 9760 4919) 
Pages
8976
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2821769810
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.