Proceedings of the 3rd International Conference on Material Engineering and Application (ICMEA 2016)

Characteristic analysis of two levelvibration reduction system for construction machinery

Authors
Jian-feng Wang, Dong-tao Wu, Sha Wang
Corresponding Author
Jian-feng Wang
Available Online December 2016.
DOI
10.2991/icmea-16.2016.82How to use a DOI?
Keywords
construction machinery; vibration reduction; two degrees of freedom.
Abstract

In this paper, the characteristics of the two stage vibration reduction system of construction machinery are analyzed. The vibration characteristics of this kind of construction machinery are analyzed by means of the modal analysis method, which is based on the two degrees of freedom of the suspension construction machinery. The approximate method for calculating the natural frequency of the two stage vibration reduction system of the engineering machinery is obtained, and the general principle of the design of the two stage vibration reduction system is proposed.

Copyright
© 2016, 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 3rd International Conference on Material Engineering and Application (ICMEA 2016)
Series
Advances in Engineering Research
Publication Date
December 2016
ISBN
10.2991/icmea-16.2016.82
ISSN
2352-5401
DOI
10.2991/icmea-16.2016.82How to use a DOI?
Copyright
© 2016, 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  - Jian-feng Wang
AU  - Dong-tao Wu
AU  - Sha Wang
PY  - 2016/12
DA  - 2016/12
TI  - Characteristic analysis of two levelvibration reduction system for construction machinery
BT  - Proceedings of the 3rd International Conference on Material Engineering and Application (ICMEA 2016)
PB  - Atlantis Press
SP  - 492
EP  - 495
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmea-16.2016.82
DO  - 10.2991/icmea-16.2016.82
ID  - Wang2016/12
ER  -