Profiling and characterization of flame radicals by combining spectroscopic imaging and neural network techniques
Krabicka, Jan, Lu, Gang and Yan, Yong (2011) Profiling and characterization of flame radicals by combining spectroscopic imaging and neural network techniques. IEEE Transactions on Instrumentation and Measurement, 60 (5). pp. 1854-1860. ISSN 0018-9456 (doi:10.1109/TIM.2010.2102411)Full text not available from this repository.
This paper presents the development of an instrumentation system for visualizing and characterizing free radicals in combustion flames. The system combines optical splitting, filtering, intensified imaging and image processing techniques for simultaneous and continuous monitoring of specific flame radicals ( OH*, CN*, CH*, and C2*). Computing algorithms are developed to analyze the images and quantify the radiative characteristics of the radicals. Experimental results are obtained from a gas-fired combustion rig to demonstrate the effectiveness of the system. The information obtained by the system is used to establish relationships between radical characteristics and air-to-fuel ratios of combustion gases, helping to obtain an in-depth understanding of burn characteristics.
|Additional Information:|| Date of Publication : 31 January 2011. Date of Current Version : 05 April 2011. Issue Date : May 2011.|
|Uncontrolled Keywords:||electron-multiplying charge-coupled device (EMCCD), flame, flame radicals, image processing, neural networks, principal component analysis (PCA)|
|Subjects:||Q Science > QA Mathematics|
Q Science > QC Physics
Q Science > QD Chemistry
T Technology > TA Engineering (General). Civil engineering (General)
|School / Department / Research Groups:||School of Engineering|
School of Engineering > Department of Computer & Communications Engineering
|Last Modified:||13 May 2013 16:29|
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