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

Optimization Design of Mathematical Modeling for Leakage Noise Reduction of Bionic Fan Blade

Authors
Lizong Cao, Yu Zhang, Nannan Zhao, XiaoXu Chen
Corresponding Author
Lizong Cao
Available Online April 2017.
DOI
10.2991/icmmct-17.2017.206How to use a DOI?
Keywords
bionic, noise reduction, working parameters, variance analysis
Abstract

We used the characteristics of the birds' wings, the blades of the fan are improved, and several factors that influence the noise of the bionic leaves are experimentally analyzed. Finally, the striped width of the leaves, the stripes of the leaves and the thickness of the leaves are taken as factors A, B, and C. The parameters of the bionic fan are measured and recorded. The data are analyzed by the difference and variance analysis. The relevant noise reduction data are obtained and the mathematical model is established by using the data to facilitate the noise reduction effect of the bionic fan.

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-17.2017.206
ISSN
2352-5401
DOI
10.2991/icmmct-17.2017.206How 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  - Lizong Cao
AU  - Yu Zhang
AU  - Nannan Zhao
AU  - XiaoXu Chen
PY  - 2017/04
DA  - 2017/04
TI  - Optimization Design of Mathematical Modeling for Leakage Noise Reduction of Bionic Fan Blade
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 1034
EP  - 1037
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.206
DO  - 10.2991/icmmct-17.2017.206
ID  - Cao2017/04
ER  -