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SOLID PARTICLE SEEDING USING CYCLONE GAS FLOW FOR OPTICAL FLOW VISUALIZATION DESIGN PARAMETERS TO BE CONSIDERED

机译:考虑旋流气体的固体颗粒流态化对光学流可视化设计参数的影响

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摘要

Flow Visualization is an evolving field that has many advantages over intrusive testing methods. Commonly employed methods of Flow Visualization include Particle Image Velocimetry, Planar Laser-Induced Fluorescence, Laser Doppler Velocimetry and Schlieren Imaging. These not only vary in terms of the type of visualization equipment used, but also in terms of the way in which the Flow is finally visualized. Flow Visualization begins with flow "seeding" i.e. the introduction of discrete & definite alien particles into the flow. Seeding of Solid Particles in a compressible flow stream, using a Cyclone Jet is a much-favored and commonly employed method for Seeding, owing to its simplicity of design, construction and operation. Design Parameters that have to be considered for a cyclone-based seeding have been discussed in this paper, vis-a-vis the general properties of the seed particle and the nature of visualization techniques employed. An analytical view of Cyclone Seeding is also presented. Mei's particle tracking model is used as a base reference for the flow visualization. A simple design which was used for Particle Image Velocimetry testing, is also described.
机译:流可视化是一个不断发展的领域,它比侵入式测试方法具有许多优势。流动可视化的常用方法包括粒子图像测速,平面激光诱导荧光,激光多普勒测速和Schlieren成像。这些不仅在所用可视化设备的类型方面有所不同,而且在流程的最终可视化方式方面也有所不同。流程可视化始于流程“播种”,即将离散且确定的外来粒子引入流程。由于设计,构造和操作的简便性,使用旋风喷流将固体颗粒播种在可压缩流中是一种广受欢迎的常用播种方法。本文已经讨论了基于旋风的播种必须考虑的设计参数,并针对了种子颗粒的一般特性和所采用的可视化技术的性质。还提供了旋风播种的分析视图。 Mei的粒子跟踪模型被用作流动可视化的基础参考。还描述了用于粒子图像测速测试的简单设计。

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