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Visualisation and measurement of flames in a gas-fired multi-burner boiler

Cugley, J., Lu, Gang, Hossain, MD Moinul, Yan, Yong, Searle, I. (2018) Visualisation and measurement of flames in a gas-fired multi-burner boiler. Journal of Physics: Conference Series, 1065 . ISSN 1742-6588. E-ISSN 1742-6596. (doi:10.1088/1742-6596/1065/20/202009) (KAR id:72998)

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https://dx.doi.org/10.1088%2F1742-6596%2F1065%2F20...

Abstract

The paper presents the development of an instrumentation system for the visualisation and measurement of flames in a gas-fired multi-burner boiler based on digital imaging and spectrometric techniques. The system consists of a rigid optical probe and an optical fibre, a digital camera, a spectrometer and an embedded computer with associated application software. The characteristic parameters of the flame, including size, temperature and oscillation frequency are quantitatively determined based on flame images obtained. The spectral characteristics of the flame are analysed over the spectral range from the ultraviolet to near infrared. The system was evaluated on a gas-fired heat recovery boiler under different operation conditions. Results obtained suggest the promising correlation between computed flame parameters and operation conditions.

Item Type: Article
DOI/Identification number: 10.1088/1742-6596/1065/20/202009
Projects: Advanced Flame Monitoring and Emission Predication through Digital Imaging and Spectrometry
Uncontrolled keywords: multi-burner boiler, flame, combustion stability, flame spectrometry, digital imaging, image processing
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA165 Engineering instruments, meters etc. Industrial instrumentation
T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Funders: [37325] UNSPECIFIED
Depositing User: Moinul Hossain
Date Deposited: 14 Mar 2019 15:59 UTC
Last Modified: 04 Mar 2024 18:36 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/72998 (The current URI for this page, for reference purposes)

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