Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)

Bionic Moldboard Surface Combination of Mathematical Modeling and Optimization Design

Authors
Tao Luo, Zhuoshi Li, Na Wang, Lizong Cao
Corresponding Author
Tao Luo
Available Online April 2017.
DOI
10.2991/icmmct-17.2017.207How to use a DOI?
Keywords
mathematical modeling; bilevel programming; bionic; moldboard
Abstract

According to the characteristics of geometric and non - smooth surface of soil fauna, we improved the mathematical model of the existing bionic moldboard,and constructed the optimization model of combined convex hull and corrugated bionic moldboard. In this paper, the convex hull of the mantis and the corrugations of the sheath wings are combined and modeled to obtain the bimodal model of the combined bionic moldboard. It is found that this combination optimization model has better effect of reducing viscosity and reducing resistance.

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 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/icmmct-17.2017.207
ISSN
2352-5401
DOI
10.2991/icmmct-17.2017.207How 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  - Tao Luo
AU  - Zhuoshi Li
AU  - Na Wang
AU  - Lizong Cao
PY  - 2017/04
DA  - 2017/04
TI  - Bionic Moldboard Surface Combination of Mathematical Modeling and Optimization Design
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 1038
EP  - 1041
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.207
DO  - 10.2991/icmmct-17.2017.207
ID  - Luo2017/04
ER  -