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A computational tool to improve flapping efficiency of robotic insects

机译:一种提高机器人昆虫扑动效率的计算工具

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We implement a 2D computational model to investigate the unsteady aerodynamic effects not captured by classical quasi-steady models. We compare numerical simulation results, experimental measurements and quasi-steady predictions to demonstrate the strength of the numerical tool in identifying unsteady fluid mechanisms and improving propulsive efficiency of flapping wing robots. In particular, this study quantifies the effect of the relative phase between wing degrees of freedom δ on lift and drag production. The computational model also identifies unsteady effects such as wake capture and downwash that are not accounted for in classical quasi-steady models. To examine the accuracy of our computational model, we fabricate millimeter-scale wings through the SCM fabrication processes and measure flapping kinematics and dynamics. The experiments show 2D computational model is 44% more accurate than the quasi-steady model and can be further used to improve wing morphology for better aerodynamic performance.
机译:我们实现了2D计算模型,以研究经典准稳态模型未捕获的非稳态空气动力效应。我们比较了数值模拟结果,实验测量结果和准稳态预测,以证明数值工具在识别不稳定流体机制和提高襟翼机器人推进效率方面的优势。特别是,这项研究量化了机翼自由度δ之间的相对相位对升力和阻力的影响。该计算模型还确定了非准稳态效应,例如在传统准稳态模型中未考虑的唤醒捕获和下冲。为了检查我们的计算模型的准确性,我们通过SCM的制造过程制造了毫米级的机翼,并测量了襟翼的运动学和动力学。实验表明,二维计算模型比准稳态模型的精度高44%,并且可以进一步用于改善机翼形态,从而获得更好的空气动力学性能。

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