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Lift calculations based on accepted wake models for animal flight are inconsistent and sensitive to vortex dynamics

机译:基于可接受的动物飞行的唤醒模型的升力计算对涡流动力学不一致和敏感

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There are three common methods for calculating the lift generated by a flying animal based on the measured airflow in the wake. However, these methods might not be accurate according to computational and robot-based studies of flapping wings. Here we test this hypothesis for the first time for a slowly flying Pacific parrotlet in still air using stereo particle image velocimetry recorded at 1000 Hz. The bird was trained to fly between two perches through a laser sheet wearing laser safety goggles. We found that the wingtip vortices generated during mid-downstroke advected down and broke up quickly, contradicting the frozen turbulence hypothesis typically assumed in animal flight experiments. The quasi-steady lift at mid-downstroke was estimated based on the velocity field by applying the widely used Kutta-Joukowski theorem, vortex ring model, and actuator disk model. The calculated lift was found to be sensitive to the applied model and its different parameters, including vortex span and distance between the bird and laser sheet-rendering these three accepted ways of calculating weight support inconsistent. The three models predict different aerodynamic force values mid-downstroke compared to independent direct measurements with an aerodynamic force platform that we had available for the same species flying over a similar distance. Whereas the lift predictions of the Kutta-Joukowski theorem and the vortex ring model stayed relatively constant despite vortex breakdown, their values were too low. In contrast, the actuator disk model predicted lift reasonably accurately before vortex breakdown, but predicted almost no lift during and after vortex breakdown. Some of these limitations might be better understood, and partially reconciled, if future animal flight studies report lift calculations based on all three quasi-steady lift models instead. This would also enable much needed meta studies of animal flight to derive bioinspired design principles for quasisteady lift generation with flapping wings.
机译:基于测量的气流在尾流中有三种常用方法计算由飞行动物产生的升力。然而,根据基于计算和基于拍打的机器人的研究,这些方法可能不准确。在这里,我们首次测试这个假设,这是使用在1000Hz的立体粒子图像速度静止空气中的缓慢飞行太平洋帕罗特。这只鸟训练通过激光片穿着激光安全护目镜在两栖流地之间飞行。我们发现,在中下行程期间产生的Wingtip涡旋方向上下了下降并迅速分手,与通常在动物飞行实验中假设的冷冻湍流假设相矛盾。通过应用广泛使用的Kutta-joukowski定理,涡旋环模型和执行器盘模型,基于速度场估计中下游的准稳态升降。发现计算的升力对所施加的模型及其不同的参数敏感,包括涡流跨度和鸟类和激光片之间的距离 - 呈现这三种可接受的计算重量支持不一致的方式。三种模型预测中下程的不同空气动力值与与空气动力平台的独立直接测量相比,我们可用于相同距离的相同物种。虽然Kutta-joukowski定理和涡旋环模型的升力预测尽管涡流击穿虽然相对恒定,但它们的值太低了。相比之下,执行器盘模型在涡旋故障之前合理地预测提升,但在涡旋故障期间和之后几乎没有提升。如果未来的动物飞行研究报告基于所有三种准稳态升降模型,则可能会更好地理解这些限制,并且部分地对齐,并且部分核对。这也可以实现对动物飞行的许多荟萃研究,以获得Quasistade提升生成的BioinSpired设计原则。

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