Vibration Reduction by a Partitioned Dynamic Vibration Absorber with Acoustic Black Hole Features

Autor: Xiaoning Zhao, Chaoyan Wang, Hongli Ji, Jinhao Qiu, Li Cheng
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Chinese Journal of Mechanical Engineering, Vol 37, Iss 1, Pp 1-15 (2024)
Druh dokumentu: article
ISSN: 2192-8258
DOI: 10.1186/s10033-024-01049-x
Popis: Abstract Vibration quality is a vital indicator for assessing the progress of modern equipment. The dynamic vibration absorber (DVA) based on the acoustic black hole (ABH) feature is a new passive control method that manipulates waves. It offers efficient energy focalization and broad-spectrum vibration suppression, making it highly promising for applications in large equipment such as aircraft, trains, and ships. Despite previous advancements in ABH-DVA development, certain challenges remain, particularly in ensuring effective coupling with host structures during control. To address these issues, this study proposes a partitioned ABH-featured dynamic vibration absorber (PABH-DVA) with partitions in the radial direction of the disc. By employing a plate as the host structure, simulations and experiments were conducted, demonstrating that the PABH-DVA outperforms the original symmetric ABH-DVA in terms of damping performance. The study also calculated and compared the coupling coefficients of the two ABH-DVAs to uncover the mechanism behind the enhanced damping. Simulation results revealed that the PABH-DVA exhibits more coupled modes, occasionally with lower coupling coefficients than the symmetric ABH-DVA. The influence of frequency ratio and modal mass was further analyzed to explain the reasons behind the PABH-DVA's superior damping performance. Additionally, the study discussed the impact of the number of slits and their orientation. This research further explains the coupling mechanism between the ABH-DVA and the controlled structure, and provides new ideas for the further application of ABH in engineering.
Databáze: Directory of Open Access Journals