Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)

Vibration Analysis of Sheet Metal Coupled with Concentrated Masses

Authors
Hongwang Zhao, Guofu Wang, Yuanhua Chen
Corresponding Author
Hongwang Zhao
Available Online May 2017.
DOI
10.2991/icmeit-17.2017.106How to use a DOI?
Keywords
Vibration, Sheet Metal, Concentrated Masses.
Abstract

There are many applications of sheet metal in Engineering. It is usually reduced to a sheet metal model with concentrated masses. This paper have studied the dynamics of the model, and a mechanical model of sheet metal with concentrated mass is established, the eigenvalues and modes of the model were analyzed. The results show that the concentrated mass has an influence on the natural frequency of the vibration of the sheet metal. The results can provide a theoretical basis for active vibration control of sheet metal.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
Series
Advances in Computer Science Research
Publication Date
May 2017
ISBN
978-94-6252-338-8
ISSN
2352-538X
DOI
10.2991/icmeit-17.2017.106How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Hongwang Zhao
AU  - Guofu Wang
AU  - Yuanhua Chen
PY  - 2017/05
DA  - 2017/05
TI  - Vibration Analysis of Sheet Metal Coupled with Concentrated Masses
BT  - Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
PB  - Atlantis Press
SP  - 583
EP  - 586
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-17.2017.106
DO  - 10.2991/icmeit-17.2017.106
ID  - Zhao2017/05
ER  -