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A numerical study of target flow field detection by autonomous underwater vehicles
Ships and Offshore Structures ( IF 1.7 ) Pub Date : 2020-10-02 , DOI: 10.1080/17445302.2020.1827642
Yixin Li 1 , Le Zhang 2 , Minge Zhang 1
Affiliation  

ABSTRACT

Sideline is a key component of fish sensory system, which has been found to affect many behaviours of fish, including manoeuvring obstacle avoidance, prey tracking and environmental mapping in complex fluid environment. In this paper, based on the sensing flow field mechanism of fish lateral line system, a sphere obstacle model is established by using the CFD method and FLUENT software, and the flow field around it is simulated and calculated. The experiment controls two variables: water flow velocity and sphere size. In this paper, the influence of velocity and obstacle size on pressure distribution is analysed, and the rectangular coordinate system is established with the spherical centre as the origin, and the characteristics of pressure distribution in X and Y directions are summarised. This research plays an important role in promoting the development of autonomous underwater vehicles.



中文翻译:

自主水下航行器目标流场检测数值研究

摘要

边线是鱼类感官系统的关键组成部分,已被发现影响鱼类的许多行为,包括机动避障、猎物跟踪和复杂流体环境中的环境测绘。本文基于鱼类侧线系统的传感流场机理,利用CFD方法和FLUENT软件建立球体障碍物模型,并对其周围流场进行模拟计算。实验控制两个变量:水流速度和球体尺寸。本文分析了速度和障碍物大小对压力分布的影响,建立了以球心为原点的直角坐标系,XY方向的压力分布特征总结了方向。该研究对推动自主水下航行器的发展具有重要作用。

更新日期:2020-10-02
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