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Title: Bio-inspired Flow Sensing and Prediction for Fish-like Undulating Locomotion: A CFD-aided Approach
Authors: Zhou, Han
Hu, Tianjiang
Low, Kin Huat
Shen, Lincheng
Ma, Zhaowei
Wang, Guangming
Xu, Haijun
Keywords: Computational Fluid Dynamics (CFD)
Bio-inspired fish undulating locomotion
Flow sensing
Near-body pressure
Flow velocity estimation
Issue Date: 2015
Source: Zhou, H., Hu, T., Low, K. H., Shen, L., Ma, Z., Wang, G., et al. (2015). Bio-inspired Flow Sensing and Prediction for Fish-like Undulating Locomotion: A CFD-aided Approach. Journal of Bionic Engineering, 12, 406-417.
Series/Report no.: Journal of Bionic Engineering
Abstract: Feedback flow information is of significance to enable underwater locomotion controllers with higher adaptability and efficiency within varying environments. Inspired from fish sensing their external flow via near-body pressure, a computational scheme is proposed and developed in this paper. In conjunction with the scheme, Computational Fluid Dynamics (CFD) is employed to study the bio-inspired fish swimming hydrodynamics. The spatial distribution and temporal variation of the near-body pressure of fish are studied over the whole computational domain. Furthermore, a filtering algorithm is designed and implemented to fuse near-body pressure of one or multiple points for the estimation on the external flow. The simulation results demonstrate that the proposed computational scheme and its corresponding algorithm are both effective to predict the inlet flow velocity by using near-body pressure at distributed spatial points.
ISSN: 1672-6529
DOI: 10.1016/S1672-6529(14)60132-3
Rights: © 2015 Jilin University. This paper was published in Journal of Bionic Engineering and is made available as an electronic reprint (preprint) with permission of Jilin University. The published version is available at: []. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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