Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)

Optimization design of Subsoiling components

Authors
Zhikai Ma, Yongwei Yuan, Jiangtao Liu, Jinggang Yi
Corresponding Author
Zhikai Ma
Available Online April 2016.
DOI
10.2991/ameii-16.2016.80How to use a DOI?
Keywords
Subsoiler, Finite Element, Size Optimization
Abstract

This article is based on the subsoiler as the research object. 3D model is established using large finite element analysis software analyze and optimize the structure afterwards. The structure and thickness of the subsoiler have been optimized and the feature parameters have been changed from different degrees. Ultimately, the maximum stress increases by 12.3% while the maximum stiffness increases by 3.9%. Accordingly, the total mass reduces by 24.05%, in this way, life cycle of the subsoiler is improved and the energy consumption is reduced meanwhile the cost of the deep scarification is also reduced. Designing the deep loosening knife needs some theoretical basis.

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 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
978-94-6252-188-9
ISSN
2352-5401
DOI
10.2991/ameii-16.2016.80How 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  - Zhikai Ma
AU  - Yongwei Yuan
AU  - Jiangtao Liu
AU  - Jinggang Yi
PY  - 2016/04
DA  - 2016/04
TI  - Optimization design of Subsoiling components
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SP  - 399
EP  - 402
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.80
DO  - 10.2991/ameii-16.2016.80
ID  - Ma2016/04
ER  -