Krabicka, J. and Lu, G. and Yan, Y. (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.
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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 C∗2). Computing algorithms are developedto 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.
|Uncontrolled keywords:||Terms—Electron-multiplying charge-coupled device (EMCCD), flame, flame radicals, image processing, neural networks, principal component analysis (PCA)|
|Subjects:||T Technology > TA Engineering (General). Civil engineering (General) > TA166 Instrumentation|
|Divisions:||Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems|
|Depositing User:||Jenny Harries|
|Date Deposited:||14 Jul 2011 11:57|
|Last Modified:||05 Oct 2012 10:56|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/28009 (The current URI for this page, for reference purposes)|
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