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Measurement of flame temperature distribution using optical tomographic and two-color pyrometric techniques

Hossain, Md. Moinul and Lu, Gang and Yan, Yong (2012) Measurement of flame temperature distribution using optical tomographic and two-color pyrometric techniques. In: 2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings. IEEE, pp. 1856-1860. ISBN 978-1-4577-1773-4. E-ISBN 978-1-4577-1772-7. (doi:10.1109/I2MTC.2012.6229354) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:35879)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1109/I2MTC.2012.6229354

Abstract

This paper presents the technique which combines optical tomographic and two-color parametric techniques for the three-dimensional (3-D) reconstruction of temperature distribution of a burner flame. Flame images are acquired using eight optical fiber bundles and two RGB CCD (charge-coupled device) cameras from eight different directions on one side of the burner. The new tomographic algorithm which combines the LFBP (Logical Filtered Back-Projection) and SART (Simultaneous Algebraic Reconstruction Technique) is proposed for the 3-D reconstruction of the gray-levels for two primary color (Red and Green) images. The temperature distribution of the flame is then determined from the ratios of the reconstructed gray-levels of the two primary color images based on the two-color principle. Experimental results on a gas fired combustion test rig are also presented and discussed. The results demonstrate that the proposed technique is effective in measuring the 3-D temperature distribution of the flame.

Item Type: Book section
DOI/Identification number: 10.1109/I2MTC.2012.6229354
Uncontrolled keywords: fires; temperature distribution; image reconstruction; temperature measurement; tomography; optical fibers
Subjects: T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Tina Thompson
Date Deposited: 31 Oct 2013 12:32 UTC
Last Modified: 16 Nov 2021 10:12 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/35879 (The current URI for this page, for reference purposes)

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