Bio-inspired Flow Sensing and Prediction for Fish-like Undulating Locomotion： A CFD-aided Approach

作     者：Han Zhou Tianjiang Hu Kin Huat Low Lincheng Shen Zhaowei Ma Guangming Wang Haijun Xu 

作者机构：College of Mechatronics and Automation National University of Defense Technology Changsha 410073 China State Key Laboratory of High Performance Computing National University of Defense Technology Changsha 410073 China School of Mechanical and Aerospace Engineering Nanyang Technological University Singapore 639798 

出 版 物：《Journal of Bionic Engineering》 (仿生工程学报（英文版）)

年 卷 期：2015年第12卷第3期

页      面：406-417页

核心收录：

学科分类：0710[理学-生物学] 0831[工学-生物医学工程（可授工学、理学、医学学位）] 080202[工学-机械电子工程] 08[工学] 080103[工学-流体力学] 080104[工学-工程力学] 0804[工学-仪器科学与技术] 0802[工学-机械工程] 0836[工学-生物工程] 0702[理学-物理学] 0801[工学-力学（可授工学、理学学位）] 

基　　金：This work was supported in part by the National Science Foundation of China under Grant nos. 61005077  51105365 and 61273347  in part by Research Fund for the Doctoral Programme of Higher Education of China under Grant no. 20124307110002  and in part by the Foundation for the Author of Excellent Doctoral Dissertation of HunanProvince under Grant no. YB2011B0001. The authors would like to thank Daibing Zhang for his sincere guidance and constructive comments. The corresponding author (Tianjiang hu) would like to thank Dr. Xue-feng Yuan of University of Manchester  UK for the collaboration during Dr. Hu's academic visit from February 2013 to August 2013 in Manchester Institute of Biotechnology 

主　　题：bio-inspired fish undulating locomotion flow sensing near-body pressure flow velocity estimation Computational Fluid Dynamics (CFD) 

摘      要：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.