二维扑翼变形叶片单元与非定常涡点阵流固耦合建模

J. Reade, Mark A. Jankauski
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引用次数: 2

摘要

由于空气动力和惯性力,拍打昆虫的翅膀会产生明显的变形。这种变形被认为有利于昆虫的空气动力生产和能量效率。然而,用于估计机翼变形的流固耦合(FSI)模型通常对计算量要求很高,因此受到参数化研究的挑战。在这里,我们开发了一个简单的扑翼FSI模型,理想化为一个二维俯仰-俯冲翼型。利用拉格朗日公式,导出了控制机翼弹性变形的降阶结构框架。本文考虑了两种流体模型:准定常叶片变形单元理论(DBET)和非定常涡点阵方法(UVLM)。DBET在计算上是经济的,但不能深入了解机翼周围的流动结构,而UVLM近似于流动,但需要更多的时间来求解。对于简单的扑动运动学,DBET和UVLM对刚性机翼表面法向的气动力产生相似的估计。更重要的是,当机翼允许变形时,DBET和UVLM在预测翼尖偏转和气动法向力方面非常一致。模型预测之间最显著的差异是法向力的相位差大约为20°。DBET估计机翼变形和力产生的速度比UVLM快约15倍,考虑到15个扑动周期,两种模型都在一分钟内解决。展望未来,我们将在高保真计算流体动力学和有限元分析方面对两种低阶模型进行基准测试,并在更广泛的扑动运动学范围内评估DBET和UVLM之间的一致性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deformable Blade Element and Unsteady Vortex Lattice Fluid-Structure Interaction Modeling of a 2D Flapping Wing
Flapping insect wings experience appreciable deformation due to aerodynamic and inertial forces. This deformation is believed to benefit the insect’s aerodynamic force production as well as energetic efficiency. However, the fluid-structure interaction (FSI) models used to estimate wing deformations are often computationally demanding and are therefore challenged by parametric studies. Here, we develop a simple FSI model of a flapping wing idealized as a two-dimensional pitching-plunging airfoil. Using the Lagrangian formulation, we derive the reduced-order structural framework governing wing’s elastic deformation. We consider two fluid models: quasi-steady Deformable Blade Element Theory (DBET) and Unsteady Vortex Lattice Method (UVLM). DBET is computationally economical but does not provide insight into the flow structure surrounding the wing, whereas UVLM approximates flows but requires more time to solve. For simple flapping kinematics, DBET and UVLM produce similar estimates of the aerodynamic force normal to the surface of a rigid wing. More importantly, when the wing is permitted to deform, DBET and UVLM agree well in predicting wingtip deflection and aerodynamic normal force. The most notable difference between the model predictions is a roughly 20° phase difference in normal force. DBET estimates wing deformation and force production approximately 15 times faster than UVLM for the parameters considered, and both models solve in under a minute when considering 15 flapping periods. Moving forward, we will benchmark both low-order models with respect to high fidelity computational fluid dynamics coupled to finite element analysis, and assess the agreement between DBET and UVLM over a broader range of flapping kinematics.
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