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Numerical Simulation Research in Flow Fields Recognition Method Based on the Autonomous Underwater Vehicle

机译:基于自动水下车辆的流域识别方法的数值模拟研究

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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/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.
机译:横向线系统(LLS)是感测周围环境的重要器官,并且研究LLS的机制可用于在迷你自主水下车辆(MINI-AUV)上的人造LL应用。计算流体动力学(CFD)用于以不同的速度研究AUV流体动力学,并且在整个计算结构域上研究了AUV的近体压力的空间分布。此外,量化压力场的结构,并对两个基本数量的关系:R_0 / R(半径系数)和E_P(压力系数)的关系被重点描述,以描述压力场的空间分布图案。模拟结果表明,所提出的计算方案和相应的算法既有效地通过使用AUV的速度预测流场,并且这些结论对于通过使用人造横向线系统来增强迷你AUV的环境适应性。

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