论文标题

三维组合起伏的推进器的缩放定律

Scaling Laws for Three-Dimensional Combined Heaving and Pitching Propulsors

论文作者

Ayancik, Fatma, Mivehchi, Amin, Moored, Keith W.

论文摘要

我们通过扩展Ayancik等人介绍的三维倾斜缩放定律,介绍了三维组合起重和俯仰水铁丝的推力生产和功耗的新定律。 (2019)。新的自旋转无粘性模拟和先前发布的实验数据用于验证在广泛的运动振幅,曲线数,升高比,纵横比和俯仰轴位置的范围内的缩放定律。已开发的缩放定律显示出可以很好地预测数字数据和实验数据,分别在$ \ pm $ 25%和$ \ pm以内,分别占推力和功率数据的16%。缩放定律表明,在考虑广泛的运动幅度时,循环和添加的质量力都很重要,并且对经典线性理论的非线性校正对于在这个宽幅度范围内建模性能至关重要。通过使用缩放定律作为指导,可以确定当$ a^*$> 1的峰值效率以及对于这些大振幅动作时,就会有一个最佳的$ h^*$,可最大程度地提高0.75 <$ h^*$ <0.94的狭窄范围。最后,比例定律表明,要进一步提高这种高效率机制的效率,应增加纵横比和无尺寸幅度,而灯光数应减小(较低的阻力和/或较大的推进器平面形面积与湿润的表面积比),并且应位于领先边缘后面。该缩放模型可用于指导下一代高效生物启发的机器的设计。

We present new scaling laws for the thrust production and power consumption of three-dimensional combined heaving and pitching hydrofoils by extending the three-dimensional pitching scaling laws introduced by Ayancik et al. (2019). New self-propelled inviscid simulations and previously published experimental data are used to validate the scaling laws over a wide range of motion amplitudes, Strouhal numbers, heave ratios, aspect ratios, and pitching axis locations. The developed scaling laws are shown to predict inviscid numerical data and experimental data well, within $\pm$ 25% and $\pm$ 16% of the thrust and power data, respectively. The scaling laws reveal that both the circulatory and added mass forces are important when considering a wide range of motion amplitudes and that nonlinear corrections to the classic linear theory are essential to modeling the performance across this wide amplitude range. By using the scaling laws as a guide, it is determined that peak efficiencies occur when $A^*$ > 1 and for these large-amplitude motions, there is an optimal $h^*$ that maximizes the efficiency in the narrow range of 0.75 < $h^*$ < 0.94. Finally, the scaling laws show that to further improve efficiency in this high-efficiency regime, the aspect ratio, and dimensionless amplitude should be increased, while the Lighthill number should be decreased (lower drag and/or a larger propulsor planform area to wetted surface area ratio), and the pitch axis should be located behind the leading edge. This scaling model can be used to guide the design of the next generation of high-efficiency bio-inspired machines.

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