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A particle-tracking image pyrometer for characterizing ignition of pulverized coal particles.

Authors :
Chen, Qianyun
Qin, Dingyi
Li, Jing
Liu, Zhaohui
Source :
Fuel Processing Technology. Jan2022, Vol. 225, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

In this study, a particle-tracking image pyrometer (PTIP) system, based on a high-resolution high-speed camera and a digital single lens reflex (SLR) camera, was proposed to investigate the ignition characteristics of pulverized coal particles. The goal of the PTIP system was to obtain reliable simultaneous measurements of the velocity, diameter, and temperature of individual burning particles. A modified particle-tracking velocimetry (PTV) algorithm was developed to collect the image sequences of individual particles, and it could weed out defocused particles and other odd particles by low-frequency filtration. Moreover, a template matching method was adopted to distinguish particles undergoing different combustion states (homogeneous volatile combustion or heterogeneous coal/char combustion). The experimental validation was carried out under an O 2 /CO 2 atmosphere in an optically accessible flat flame-supported entrained flow reactor. Particles of Shenhua (SH) bituminous coal, in the size range of 70–133 μm, were combusted in the flue gas with gas temperature of 1400 K and O 2 concentration of 20%. The diameter-temperature patterns of particles along their trajectories were discussed. Several criteria based on statistical analysis were adopted to divide the combustion process and obtain the ignition delay time (IDT) and devolatilization duration time (DDT). • Speed, diameter and temperature of a burning particle are measured simultaneously. • Modified PTV method is used to capture the combustion sequence of single particle. • Different stages of particle combustion are distinguished by particle templates. • Statistical analysis is adopted to obtain characteristic time for combustion. • Combination of micro and macro photography improves the credibility of diagnosis. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03783820
Volume :
225
Database :
Academic Search Index
Journal :
Fuel Processing Technology
Publication Type :
Academic Journal
Accession number :
153322223
Full Text :
https://doi.org/10.1016/j.fuproc.2021.107065