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Open AccessArticle

Emissivity Characteristics of Hydrocarbon Flame and Temperature Measurement by Color Image Processing

1
College of humanities, Xiamen University, Xiamen 361005, China
2
Xi’an Thermal Power Research Institute Co., Ltd, Xi’an 710032, China
*
Author to whom correspondence should be addressed.
Energies 2019, 12(11), 2185; https://doi.org/10.3390/en12112185
Received: 8 May 2019 / Revised: 5 June 2019 / Accepted: 5 June 2019 / Published: 7 June 2019
(This article belongs to the Special Issue Experimental Heat Transfer in Energy Systems)
Non-gray radiation should be considered in the temperature and emissivity measurements of hydrocarbon flames. In this paper an improved ratio pyrometry by spectral analysis and color image processing is proposed. A Newton-type iterative method is utilized to analyze the spectrometer signals for the detection of monochromatic emissivity, and then the ratio pyrometry based on color image processing is corrected by the detected monochromatic emissivity without making approximations of the filter profiles of CCD camera. The experiments were conducted on a tubular heating furnace with coal gas and a propane flame. The spectral and spatial distributions of emissivity of hydrocarbon flame were detected, and the temperature measurement results at four conditions coincided with the thermocouple with relative errors less than 8.34%. The soot volume fractions in the turbulent diffusion hydrocarbon flame were approximately estimated from the detected emissivity, and are influenced by the O/C in the combustion. This study will provide a simple and effective method for the detection of non-gray radiation of hydrocarbon flames in the combustion industry. View Full-Text
Keywords: hydrocarbon flame; temperature; emissivity; spectral analysis; color image processing hydrocarbon flame; temperature; emissivity; spectral analysis; color image processing
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MDPI and ACS Style

Lin, J.; Zhang, X.; Liu, K.; Zhang, W. Emissivity Characteristics of Hydrocarbon Flame and Temperature Measurement by Color Image Processing. Energies 2019, 12, 2185.

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