Proceedings of the 2016 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)

Finite Element Analysis of Loader Lift Arm

Authors
Fangqin Pan, Huqi Wang, Yupeng Yin, Aixia Yuan
Corresponding Author
Fangqin Pan
Available Online December 2016.
DOI
10.2991/icsma-16.2016.50How to use a DOI?
Keywords
loader lift arm, finite element analysis, modal analysis, natural frequency
Abstract

With the continuous development of science technology and society, machinery industry got the unprecedented development. Among them, the loader played an indispensable role. As a core part of the loader work, loader lift arm has the effect of bearing and transmission power. The loader lift arm often is damaged in work. The finite element analysis for loader lift arm is done by ANSYS software. The weak place is found by analysis of the displacement and stress nephogram. Meanwhile the natural frequencies of the loader lift arm are also got by modal analysis in ANSYS. These analysis results will be helpful for us to design new safe product and ovoid the occurrence of resonance.

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/).

Download article (PDF)

Volume Title
Proceedings of the 2016 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)
Series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
978-94-6252-274-9
ISSN
1951-6851
DOI
10.2991/icsma-16.2016.50How 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  - Fangqin Pan
AU  - Huqi Wang
AU  - Yupeng Yin
AU  - Aixia Yuan
PY  - 2016/12
DA  - 2016/12
TI  - Finite Element Analysis of Loader Lift Arm
BT  - Proceedings of the 2016 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)
PB  - Atlantis Press
SP  - 279
EP  - 283
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsma-16.2016.50
DO  - 10.2991/icsma-16.2016.50
ID  - Pan2016/12
ER  -