提高水下游泳效率的生物启发方法的数值模拟

Rahul Kumar, S. Padhee, D. Samanta
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摘要

本研究讨论了类似蝠鲼的游泳数值模拟结果。利用离散漩涡法(DVM)实现了蝠鲼复杂的三维运动学,从而揭示了其错综复杂的推进机制。DVM 方法以涡旋元素的集合取代了整个计算域对结构化网格的要求。这种方法简化了网格的生成,特别是对于复杂的几何形状,从而节省了绘制复杂形状网格所需的时间和精力。通过用离散面板对胸鳍进行建模,并利用涡环来表示环流和尾流,该研究准确计算了蝠鲼的压力分布、环流分布、升力系数和推力系数。本研究的重点是通过改变下冲和上冲运动(SV)时的跨度长度和长度变化比来调节气动性能。蝠鲼的三维涡流构型由涡流环、涡流忌尾和马蹄形涡流组合而成。对三维涡旋结构的分析表明,在较高的 SV 值下存在多个涡旋环和马蹄形涡旋环,而在较低的 SV 值下没有观察到马蹄形涡旋的充分形成。在推进性能方面,升力和推力都随 SV 值的增加而增加,而推进效率在 SV = 1.75 时达到峰值。分析表明,当 SV 值较高时,产生的净推力主要来自鳍片的顶端。此外,研究还表明推进效率显著提高,尤其是在最佳斯特劳哈尔数为 0.3 和 0.4 之间时。本研究的主要发现可用于高效设计用于海洋勘探和监视应用的灵活自主水下航行器。
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Numerical simulations of bio-inspired approaches to enhance underwater swimming efficiency
The present study discusses the numerical simulation results of swimming similar to manta rays. The complex three-dimensional kinematics of manta rays were implemented to unravel the intricacies of its propulsion mechanisms by using the discrete vortex method (DVM). The DVM replaces the requirement for a structured grid across the computational domain with a collection of vortex elements. This method simplifies grid generation, especially for intricate geometries, resulting in time and effort savings in meshing complex shapes. By modeling the pectoral fins with discrete panels and utilizing vortex rings to represent circulation and wake, the study accurately computes the pressure distribution, circulation distribution, lift coefficient, and thrust coefficient of the manta ray. This study focuses on the modulation of aerodynamic performance by altering the span length and the length change ratio during the downstroke and upstroke motion (SV). The manta ray's three-dimensional vortex configurations comprise a combination of vortex rings, vortex contrails, and horseshoe vortices. Analysis of the three-dimensional vortex structure indicates the presence of multiple vortex rings and horseshoe vortex rings at higher SV values, while adequate formation of horseshoe vortices is not observed at lower SV values. In terms of propulsive performance, both lift and thrust increase with SV, while the propulsive efficiency demonstrates its peak at SV = 1.75. The analysis reveals that at higher SV values, the net thrust generated primarily originates from the tip of the fins. Moreover, the study illustrates a significant enhancement in propulsive efficiency, particularly in association with optimal Strouhal numbers ranging between 0.3 and 0.4. The key findings of this study may be used in efficient design of agile autonomous underwater vehicles for marine exploration and surveillance applications.
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