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Three-dimensional tomographic reconstruction of the luminosity distribution of a combustion flame

Gilabert, Guillermo, Lu, Gang, Yan, Yong (2007) Three-dimensional tomographic reconstruction of the luminosity distribution of a combustion flame. IEEE Transactions on Instrumentation and Measurement, 56 (4). pp. 1300-1306. ISSN 0018-9456. (doi:10.1109/TIM.2007.900161) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:2066)

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Abstract

This paper presents the design, implementation, and evaluation of a 3-D imaging system for the reconstruction of the luminosity distribution of a combustion flame. Three identical red-green-blue charge-coupled device cameras together with appropriate optical transmission units are used to capture concurrently six equiangular 2-D images of a flame. A new tomographic approach that combines the logical filtered back-projection and the algebraic reconstruction technique is proposed to reconstruct flame sections from the images. A direct comparison between the proposed approach and other tomographic algorithms is performed through computer simulation for different test templates and number of projections. Experimental tests were undertaken using both gas- and coal-fired flames in order to evaluate the effectiveness of the system. This research has led to the establishment of an effective tool for the reconstruction of the luminosity distribution of flame sections and, ultimately, the quantitative characterization of the interstructures of a combustion flame

Item Type: Article
DOI/Identification number: 10.1109/TIM.2007.900161
Uncontrolled keywords: combustion flame; flame monitoring; luminosity distribution; tomography; 3-D visualization
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Stephen Holland
Date Deposited: 19 Dec 2007 19:26 UTC
Last Modified: 16 Nov 2021 09:40 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/2066 (The current URI for this page, for reference purposes)

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