Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications

Dynamics Modeling and Simulation of Loader Working Device under Unloading Condition

Authors
Chengyi Huang, Shaohui Su, Kuang Xu, Chang Chen
Corresponding Author
Chengyi Huang
Available Online November 2016.
DOI
https://doi.org/10.2991/aiea-16.2016.86How to use a DOI?
Keywords
Multidisciplinary modeling; loader working device; Modelica.
Abstract

Loader is a kind of typical engineering machinery, which plays a considerable role in the construction of the national infrastructure. As working device is a core component, which need do simulation and optimization. Because loader is composed of multisystem, how to conduct a unified simulation is a big issue. For this purpose, we introduced Dymola, which is a multidiscipline modeling software. In the Dymola, the mathematical model and its constraint function were set up by using multidisciplinary modeling language Modelica, then simulation of loader was carried out. In addition, retraction phenomenon of oil cylinder is researched, and we analyzed the reason of this phenomenon and optimized design.

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 2016 International Conference on Artificial Intelligence and Engineering Applications
Series
Advances in Computer Science Research
Publication Date
November 2016
ISBN
978-94-6252-270-1
ISSN
2352-538X
DOI
https://doi.org/10.2991/aiea-16.2016.86How 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  - Chengyi Huang
AU  - Shaohui Su
AU  - Kuang Xu
AU  - Chang Chen
PY  - 2016/11
DA  - 2016/11
TI  - Dynamics Modeling and Simulation of Loader Working Device under Unloading Condition
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications
PB  - Atlantis Press
SP  - 481
EP  - 486
SN  - 2352-538X
UR  - https://doi.org/10.2991/aiea-16.2016.86
DO  - https://doi.org/10.2991/aiea-16.2016.86
ID  - Huang2016/11
ER  -