SNG 선회 안정화 화염구조 가시화를 위한 OH* 자발광 이미지 역변환에서 전처리 효과
Effect of a Preprocessing Method on the Inversion of OH* Chemiluminescence Images Acquired for Visualizing SNG Swirl-stabilized Flame Structure
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초록
Flame structure, which contains a useful information for studying combustion instability of the flame, is oftenquantitatively visualized with PLIF (planar laser-induced fluorescence) and/or chemiluminescence images. The latter, a line-integral of a flame property, needs to be preprocessed before being inverted, mainly dueto its inherent noise and the axisymmetry assumption of the inversion. A preprocessing scheme utilizing multidivisionof ROI (region of interest) of the chemiluminescence image is proposed. Its feasibility has beentested with OH PLIF and OH* chemiluminescence images of SNG (synthetic natural gas) swirl-stabilizedflames taken from a model gas turbine combustor. It turns out that the multi-division technique outperformstwo conventional ones: those are, one without preprocessing and the other with uni-division preprocessing, reconstructingthe SNG flame structure much better than its two counterparts, when compared with the correspondingOH PLIF images. It is also found that the Canny edge detection algorithm used for detecting edgesin the multi-division method works better than the Sobel algorithm does.
Abstract
Flame structure, which contains a useful information for studying combustion instability of the flame, is oftenquantitatively visualized with PLIF (planar laser-induced fluorescence) and/or chemiluminescence images. The latter, a line-integral of a flame property, needs to be preprocessed before being inverted, mainly dueto its inherent noise and the axisymmetry assumption of the inversion. A preprocessing scheme utilizing multidivisionof ROI (region of interest) of the chemiluminescence image is proposed. Its feasibility has beentested with OH PLIF and OH* chemiluminescence images of SNG (synthetic natural gas) swirl-stabilizedflames taken from a model gas turbine combustor. It turns out that the multi-division technique outperformstwo conventional ones: those are, one without preprocessing and the other with uni-division preprocessing, reconstructingthe SNG flame structure much better than its two counterparts, when compared with the correspondingOH PLIF images. It is also found that the Canny edge detection algorithm used for detecting edgesin the multi-division method works better than the Sobel algorithm does.
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