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首页> 外文期刊>Combustion and Flame >Simultaneous multispectral imaging of flame species using Frequency Recognition Algorithm for Multiple Exposures (FRAME)
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Simultaneous multispectral imaging of flame species using Frequency Recognition Algorithm for Multiple Exposures (FRAME)

机译：使用多次曝光频率识别算法（FRAME）对火焰物种同时进行多光谱成像

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摘要

Imaging the interaction between different combustion species under turbulent flame conditions requires methods that both are extremely fast and provide means to spectrally separate different signals. Current experimental solutions to achieve this often rely on using several cameras that are time-gated and/or equipped with different spectral filters. In this work we explore a technique called Frequency Recognition Algorithm for Multiple Exposures (FRAME) as an alternative solution for instantaneous multispectral imaging of flame species. The method is based on exciting different species with different spatial "codes" and to separate each signal component using a spatial frequency-sensitive lock-in algorithm. This methodology permits the signal from several different species to be recorded at the exact same time with a single camera. Furthermore, since the signals are recognized based on the superimposed spatial codes, there is no need for spectral separation prior to detection. The entire fluorescence envelope from each species can thus, in principle, be detected. In the current work, we present simultaneous planar laser-induced fluorescence imaging of OH and CH2O in a turbulent dimethyl ether (DME)/air flame. (C) 2018 Published by Elsevier Inc. on behalf of The Combustion Institute.
机译：要对湍流火焰条件下不同燃烧物质之间的相互作用进行成像，需要既快速又能提供光谱分离不同信号的方法。当前的实验解决方案通常依赖于使用几个具有时间门控和/或配备有不同光谱滤镜的相机。在这项工作中，我们探索了一种称为多重曝光的频率识别算法（FRAME）的技术，作为火焰物种即时多光谱成像的替代解决方案。该方法基于用不同的空间“代码”激发不同的物种，并使用空间频率敏感的锁定算法分离每个信号分量。这种方法可以用一个摄像机精确地同时记录几种不同物种的信号。此外，由于基于叠加的空间码来识别信号，因此在检测之前不需要频谱分离。因此，原则上可以检测每个物种的整个荧光包膜。在当前的工作中，我们目前在湍流的二甲醚（DME）/空气火焰中同时进行平面激光诱导的OH和CH2O荧光成像。 （C）2018年由Elsevier Inc.代表燃烧研究所出版。

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