Proceedings of the 2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)

Power Flow Analysis Of Nonlinear Finite Difference Model Of Bionic Acoustic Sensing Device

Authors
Qingsheng Wang, Li Cui, Xin Jiang
Corresponding Author
Qingsheng Wang
Available Online February 2017.
DOI
10.2991/icmeim-17.2017.6How to use a DOI?
Keywords
Power Flow, Finite Difference Model, Acoustic Sensing Device
Abstract

Parasitoid fly Ormia Ochracea has a remarkable ability to detect the direction of incident sound stimulus via its unique acoustic sensory organs. Based on the anatomy of them, a bionics acoustic sensing device is designed to mimic the localization function of the ears of the parasitoid fly Ormia ochracea. In this paper, the nonlinear dynamic model for the bionic acoustic sensing device is established. The dynamic characteristics of the nonlinear mechanical model and influence of the nonlinear factors under different exciting condition are estimated by means of finite difference method. These works will establish theoretical basis of the bionic acoustic sensor's design.

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 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)
Series
Advances in Engineering Research
Publication Date
February 2017
ISBN
978-94-6252-317-3
ISSN
2352-5401
DOI
10.2991/icmeim-17.2017.6How 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  - Qingsheng Wang
AU  - Li Cui
AU  - Xin Jiang
PY  - 2017/02
DA  - 2017/02
TI  - Power Flow Analysis Of Nonlinear Finite Difference Model Of Bionic Acoustic Sensing Device
BT  - Proceedings of the 2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)
PB  - Atlantis Press
SP  - 25
EP  - 29
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeim-17.2017.6
DO  - 10.2991/icmeim-17.2017.6
ID  - Wang2017/02
ER  -