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APS -70th Annual Meeting of the APS Division of Fluid Dynamics- Event - A data-driven decomposition approach to model aerodynamic forces on flapping airfoils

机译:APS-APS流体动力学分部第70届年会-事件-一种数据驱动的分解方法,用于模拟扑翼上的空气动力

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In this work, we exploit a data-driven decomposition of experimental data from a flapping airfoil experiment with the aim of isolating the main contributions to the aerodynamic force and obtaining a phenomenological model. Experiments are carried out on a NACA 0012 airfoil in forward flight with both heaving and pitching motion. Velocity measurements of the near field are carried out with Planar PIV while force measurements are performed with a load cell. The phase-averaged velocity fields are transformed into the wing-fixed reference frame, allowing for a description of the field in a domain with fixed boundaries. The decomposition of the flow field is performed by means of the POD applied on the velocity fluctuations and then extended to the phase-averaged force data by means of the Extended POD approach. This choice is justified by the simple consideration that aerodynamic forces determine the largest contributions to the energetic balance in the flow field. Only the first 6 modes have a relevant contribution to the force. A clear relationship can be drawn between the force and the flow field modes. Moreover, the force modes are closely related (yet slightly different) to the contributions of the classic potential models in literature, allowing for their correction.
机译:在这项工作中,我们利用数据驱动的翼型扑翼实验数据分解,以分离出对空气动力的主要贡献并获得现象模型。实验是在NACA 0012机翼上进行向前飞行,同时进行升沉和俯仰运动。近场的速度测量是通过Planar PIV进行的,而力的测量是通过称重传感器进行的。相位平均速度场被转换为机翼固定的参考系,从而可以在具有固定边界的域中描述该场。流场的分解是通过对速度波动施加的POD进行的,然后通过扩展POD方法扩展到相位平均力数据。通过简单考虑空气动力决定了流场中对能量平衡的最大贡献是合理的。仅前6个模式对力有重要贡献。在力和流场模式之间可以得出明确的关系。此外,力模式与文献中经典潜在模型的贡献密切相关(但略有不同),可以对其进行校正。

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