Issue |
MATEC Web Conf.
Volume 157, 2018
Machine Modelling and Simulations 2017 (MMS 2017)
|
|
---|---|---|
Article Number | 03002 | |
Number of page(s) | 9 | |
Section | Machine dynamics and multibody systems simulations | |
DOI | https://doi.org/10.1051/matecconf/201815703002 | |
Published online | 14 March 2018 |
Analysis of inertial amplification mechanism with smart spring-damper for attenuation of beam vibrations
Department of Automotive and Construction Machinery Engineering, Institute of Machine Design Fundamentals, Warsaw University of Technology, Warsaw, Poland
* Corresponding author: mateuszbarys6@gmail.com
In this paper an inertial amplification mechanism with an embedded smart spring-damper device for attenuation of longitudinal vibrations in continuous structures is analyzed. The complex systems are the extension of the already investigated inertial mechanism, here additionally equipped with the vacuum controlled spring-damper device which shows features of smart materials. This allows the semi-active control to affect different frequency vibration ranges in the real time. The fea.tures of the basic inertia amplification mechanism are preserved as a possibility to generate two neighbouring anti-resonance frequencies between resonance peaks in the low frequency range.
Key words: inertial amplification mechanism / vacuum packed particles / damping of vibration / smart structures
© The Authors, published by EDP Sciences, 2018
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. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.