Abstract
The lateral line system (LLS) is an important organ of fish to sense the surrounding environment, and studying the mechanism of LLS is useful for the application of the artificial LLS on the mini autonomous underwater vehicle (mini-AUV). Computational fluid dynamics (CFD) is employed to study the AUV hydrodynamics at different speeds, and the spatial distribution of the near-body pressure of the AUV is studied over the whole computational domain. Furthermore, the structure of pressure field is studied quantificationally, and the relationship of two essential quantities: \( {{R_{0} } \mathord{\left/ {\vphantom {{R_{0} } R}} \right. \kern-0pt} R} \) (the radius coefficient) and \( E_{p} \) (the pressure coefficient) is studied emphatically to describe the spatial distribution pattern of pressure field. The simulation results demonstrate that the proposed computational scheme and corresponding algorithm are both effective to predict the flow field by using the speed of AUV, and these conclusions are useful to enhance the environmental adaptation of mini-AUV by using the artificial lateral line system.
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Lin, X., Wu, J., Liu, D., Wang, L. (2017). Numerical Simulation Research in Flow Fields Recognition Method Based on the Autonomous Underwater Vehicle. In: Huang, Y., Wu, H., Liu, H., Yin, Z. (eds) Intelligent Robotics and Applications. ICIRA 2017. Lecture Notes in Computer Science(), vol 10462. Springer, Cham. https://doi.org/10.1007/978-3-319-65289-4_70
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DOI: https://doi.org/10.1007/978-3-319-65289-4_70
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