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Aerodynamic evaluation of four butterfly species for the design of flapping-gliding robotic insects

机译:扑翼滑行机器人昆虫设计中四种蝴蝶的空气动力学评估

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Alternating gliding and active propulsion is a potentially energy saving strategy for small-scale flight. With the goal of finding optimal wing shapes for flapping-gliding robots we evaluate the quasi-steady aerodynamic performance of four butterfly species (Monarch (Danaus plexippus), the Orange Aeroplane (Pantoporia consimilis), the Glasswing (Acraea andromacha) and the Four-barred Swordtail (Protographium Ieosthenes)). We fabricate at-scale wing models based on measured wing shapes and vary the forewing angle in nine steps to account for the ability of the butterfly to change the relative orientation of its forewing and hindwing during flight. For comparison we include twelve non-biological planforms as performance benchmarks for the butterfly wing shapes. We then test these 48 wing models at 2m/s, 3.5m/s and 5m/s (Reynolds number between 2597 and 12632) in a low speed wind tunnel which allows lift and drag force measurements of centimeter-size wings. The results indicate that the forewing orientation which maximizes the wing span offers the best gliding performance and that overall the gliding ratios are highest at 3.5m/s. The wing shapes with the best gliding ratio are found in the Glasswing butterfly with a maximum of 6.26 which is very high compared to the gliding performance of similarly sized flying robots. The results from this study are important for the development of novel biologically-inspired flying micro robots as well as for biomechanics studies in biology.
机译:交替滑行和主动推进是小规模飞行的一种潜在的节能策略。为了找到适合滑翼滑行机器人的最佳机翼形状,我们评估了四种蝴蝶(君主(Danaus plexippus),橙色飞机(Pantoporia consimilis),玻璃翼(Acraea andromacha)和四翼)的准稳态空气动力性能。禁止剑尾(Protographium Ieosthenes)。我们根据测得的机翼形状制作了规模化的机翼模型,并以九个步骤更改了前翼角度,以说明蝴蝶在飞行过程中改变其前翼和后翼的相对方向的能力。为了进行比较,我们包括了十二种非生物平面形式,作为蝴蝶翼形状的性能基准。然后,我们在低速风洞中以2m / s,3.5m / s和5m / s(雷诺数在2597和12632之间)测试这48个机翼模型,该模型可以测量厘米级机翼的升力和阻力。结果表明,最大化机翼跨度的前倾方向提供了最佳的滑行性能,总体滑行率最高,为3.5m / s。在Glasswing蝴蝶中发现滑移率最佳的机翼形状,最大值为6.26,与类似大小的飞行机器人的滑行性能相比,这是非常高的。这项研究的结果对于开发新型的受生物启发的飞行微型机器人以及生物学中的生物力学研究具有重要意义。

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