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Image-based diagnostics for flow field characterization

机译:基于图像的诊断,用于流场表征

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摘要

The rapid evolution of digital imagery and the fast growth of computational power over the last ten years have contributed significantly in the development and maturity of image-based diagnostic techniques for flow field characterization. Of the several techniques that have evolved, particle image velocimetry (PIV) and laser induced fluorescence (LIF) for velocity and concentration/temperature determination, respectively, have reached a good level of maturity and thus currently enjoy an increasingly level of popularity and acceptance by experimental fluid dynamicists. The current paper focuses on PIV and LIF, presenting their methodology and implementation for fluid flow characterization.
机译:在过去的十年中,数字图像的快速发展和计算能力的快速增长极大地促进了基于图像的流场表征诊断技术的发展和成熟。在已经发展的几种技术中,分别用于速度和浓度/温度测定的粒子图像测速(PIV)和激光诱导荧光(LIF)已达到良好的成熟水平,因此目前越来越受到大众的欢迎和接受实验流体动力学家。本论文重点介绍PIV和LIF,介绍其用于流体流动表征的方法和实现。

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