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Doppler picture velocimetry applied to hypersonics: automated DPV fringe pattern analysis using the FFT method

机译:多普勒图像测速仪应用于高超音速:使用FFT方法的自动DPV条纹图案分析

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摘要

Doppler picture velocimetry (DPV) is a tool for visualizing and measuring the flow velocity distribution of tracer particles in a laser light sheet. A frequency sensitive Michelson interferometer, tuned for detecting the velocity distribution by the Doppler effect, visualizes the velocity information of tracer particles crossing an illuminating laser light sheet as interference fringe patterns. Many efforts have been done to evaluate best these DPV patterns, in order to obtain the frequency distribution and, by applying the Doppler formula, the velocity profile of the tracers. The first processing method, developed in 1982, relied on manual processing of the pictures by the user, due to the unavailability of suitable high performance picture processing algorithms. This drawback made DPV being considered as a rather time-consuming measurement technique with limited accuracy, compared to existing commercial velocity measurement systems (e.g. PIV). This is no more the state of the art: The new DPV analysis software, presented in this paper, allows automated processing of the interference fringe samples obtained by two images, a reference picture without frequency shift and a Doppler picture containing the frequency shift, using single beam velocimetry. Based on Fast Fourier transformation (FFT), the presented algorithm determines the corresponding velocity profile (in pseudo colours) within only a few seconds on a standard personal computer without user intervention.
机译:多普勒图像测速(DPV)是一种工具,用于可视化和测量激光片中示踪颗粒的流速分布。频率敏感的迈克尔逊干涉仪经过调谐,可通过多普勒效应检测速度分布,将穿过照明激光片的示踪粒子的速度信息可视化为干涉条纹图案。为了获得频率分布以及通过应用多普勒公式获得示踪剂的速度分布图,已经做了很多努力来最好地评估这些DPV模式。由于缺乏合适的高性能图像处理算法,1982年开发的第一种处理方法依赖于用户对图像的手动处理。与现有的商业速度测量系统(例如,PIV)相比,该缺点使得DPV被认为是相当耗时的精度有限的测量技术。这已不再是最新技术:本文介绍的新型DPV分析软件可使用以下方法自动处理由两幅图像(无频移的参考图像和包含频移的多普勒图像)获得的干涉条纹样本。单光束测速。基于快速傅立叶变换(FFT),提出的算法无需用户干预,只需几秒钟即可在标准个人计算机上确定相应的速度曲线(伪彩色)。

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