Entwicklung eines Echtzeit 3-D PIV Systems zur Analyse instationärer aerodynamischer Phänomene im Insektenflug

开发实时 3-D PIV 系统，用于分析昆虫飞行中的不稳定空气动力学现象

• 批准号: 5426047
• 负责人: Professor Dr. Fritz-Olaf Lehmann
• 金额: --
• 依托单位: Abteilung Tierphysiologie
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2004
• 资助国家: 德国
• 起止时间: 2003-12-31 至 2007-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/5426047?language=en
• 关键词: Entwicklung; eines; Echtzeit; PIV; Systems

Many unsteady, three-dimensional (3-D) aerodynamic mechanisms used by insects to generate lift and thrust evade comprehensive understanding due to limitations in techniques available to investigate the flow field of air around the insect. Dynamic scaled robotic models have been developed to circumvent the problems of investigating aerodynamic phenomena of these small animals, which have high wing beat frequencies and complex wing beat kinematics. These robotic models include the development of a dynamically scaled hawkmoth 'flapper'1, with a smoke release mechanism from the wing's leading edge, and a dynamically scaled 'robofly' model of Drosophila, which was immersed in mineral oil, utilised air bubble seeding to enable two-dimensional (2-D) PIV and had a 2 axis force sensor to correlate fluid dynamics with force production2,3. However, as yet there are no methods available to map the flow field around either a free flying insect or a dynamically scaled model, in near real time 3-D. Here we propose a project to develop a real time 3-D PIV system, which makes use of chromatic filters to continuouusly illiminate the entire flow field. The project will be to develop a system based on 2 color viedo camers that can capture the entire flow field in one image, with individual light sheets identified by the use color to enable more rapid image capture through the flow field than is currently available. This system, in conjunction with models, methods and a sensor system already developed, will enable full inestigation into the highly 3-D flow characteristics of unsteady aerodynamic mechanisms such as 'delayed stall'1-5, 'wake capture'2-3 and aerodynamic effects of fore and hind wing interaction of free flying insects and in robotic wings6.

由于可用于研究昆虫周围空气的流动场的局限性，许多昆虫用于产生升降和推动避免全面理解的昆虫的空气动力学机制，用于产生升力和推动避免全面的理解。已经开发出动态缩放的机器人模型，以避免研究这些小动物的空气动力学现象的问题，这些小动物具有高机翼频率和复杂的机翼击败运动学。 These robotic models include the development of a dynamically scaled hawkmoth 'flapper'1, with a smoke release mechanism from the wing's leading edge, and a dynamically scaled 'robofly' model of Drosophila, which was immersed in mineral oil, utilised air bubble seeding to enable two-dimensional (2-D) PIV and had a 2 axis force sensor to correlate fluid dynamics with force production2,3.但是，到目前为止，尚无可用的方法来绘制自由飞行昆虫或动态缩放模型的流场。在这里，我们提出了一个开发实时3-D PIV系统的项目，该项目利用色彩过滤器继续阐明整个流场。该项目将是基于2个颜色的Viedo摄像机开发一个系统，该系统可以在一个图像中捕获整个流场，并通过使用颜色识别单个光片，以使其通过流场更快地捕获流场。该系统与已经开发的模型，方法和传感器系统结合在一起，将使不稳定的空气动力学机制的高度3D流动特性（例如“延迟失速1-5），“ Wake Capture” 2-3和自由飞行昆虫和机器人翅膀的前翼相互作用的空气动力学效应等高度3D流动特征。