27 February 2021 Quantitative feature extraction of turbulent premixed flames by photofragmentation laser-induced fluorescence
Minggang Wan, Mingbo Sun, Ge Wu, Qiang Gao, Bo Li, Hongbo Wang, Yongchao Sun, Jiajian Zhu
Author Affiliations +
Abstract

Planar laser-induced fluorescence (PLIF) techniques have been widely used for flame structure visualization in recent years. Nevertheless, most of the studies were concerned with qualitative analysis of the obtained images and the quantitative analysis were much fewer. This work presents a quantitative feature extraction method to process the ribbon structures that are captured in images and represent the radical layers in flames. The extracted features include ridge lines, curvatures, and thicknesses. This method was demonstrated by processing the images of methyl (CH3) photofragmentation laser-induced fluorescence (PF-LIF) and formaldehyde (CH2O) PLIF measurements in stoichiometric, premixed methane/air flames. The flames were generated by a McKenna burner under the Reynolds numbers of 1930, 3870, and 5800. The ridge lines followed well with the wrinkled layers of CH3 and CH2O. The CH2O layers were thickened, but the CH3 layers had minor change with increased Reynold numbers.

© 2021 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2021/$28.00 © 2021 SPIE
Minggang Wan, Mingbo Sun, Ge Wu, Qiang Gao, Bo Li, Hongbo Wang, Yongchao Sun, and Jiajian Zhu "Quantitative feature extraction of turbulent premixed flames by photofragmentation laser-induced fluorescence," Optical Engineering 60(2), 023108 (27 February 2021). https://doi.org/10.1117/1.OE.60.2.023108
Received: 1 December 2020; Accepted: 26 January 2021; Published: 27 February 2021
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Cited by 9 scholarly publications.
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KEYWORDS
Feature extraction

Ridge detection

Laser induced fluorescence

Visualization

Optical engineering

Image processing

Cameras

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