Skip to main content

Combustion behavior profiling of single pulverized coal particles in a drop tube furnace through high-speed imaging and image analysis

Bai, Xiaojing, Lu, Gang, Bennet, Tom, Sarroza, Archi, Eastwick, Carol, Liu, Hao, Yan, Yong (2017) Combustion behavior profiling of single pulverized coal particles in a drop tube furnace through high-speed imaging and image analysis. Experimental Thermal and Fluid Science, 85 . pp. 322-330. ISSN 0894-1777. (doi:10.1016/j.expthermflusci.2017.03.018) (KAR id:60872)

PDF Publisher pdf
Language: English


Download (752kB) Preview
[thumbnail of 1-s2.0-S089417771730081X-main.pdf]
Preview
This file may not be suitable for users of assistive technology.
Request an accessible format
PDF Author's Accepted Manuscript
Language: English

Restricted to Repository staff only

Contact us about this Publication
[thumbnail of Thermal-ETFS-D-16-00724-Manuscript_Final.pdf]
Microsoft Word Author's Accepted Manuscript
Language: English

Restricted to Repository staff only
Contact us about this Publication
[thumbnail of Thermal-ETFS-D-16-00724-Manuscript_Final.docx]
Official URL
https://dx.doi.org/10.1016/j.expthermflusci.2017.0...

Abstract

Experimental investigations into the combustion behaviors of single pulverized coal particles are carried out based on high-speed imaging and image processing techniques. A high-speed video camera is employed to acquire the images of coal particles during their residence time in a visual drop tube furnace. Computer algorithms are developed to determine the characteristic parameters of the particles from the images extracted from the videos obtained. The parameters are used to quantify the combustion behaviors of the burning particle in terms of its size, shape, surface roughness, rotation frequency and luminosity. Two sets of samples of the same coal with different particle sizes are studied using the techniques developed. Experimental results show that the coal with different particle sizes exhibits distinctly different combustion behaviors. In particular, for the large coal particle (150-212 m), the combustion of volatiles and char takes place sequentially with clear fragmentation at the early stage of the char combustion. For the small coal particle (106-150 m), however, the combustion of volatiles and char occurs simultaneously with no clear fragmentation. The size of the two burning particles shows a decreasing trend with periodic variation attributed to the rapid rotations of the particles. The small particle rotates at a frequency of around 30 Hz, in comparison to 20 Hz for the large particle due to a greater combustion rate. The luminous intensity of the large particle shows two peaks, which is attributed to the sequential combustion of volatiles and char. The luminous intensity of the small particle illustrates a monotonously decreasing trend, suggesting again a simultaneous devolatilization/volatile and char combustion.

Item Type: Article
DOI/Identification number: 10.1016/j.expthermflusci.2017.03.018
Uncontrolled keywords: pulverized coal particles; drop tube furnace; high-speed imaging; image processing; combustion behaviors
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA165 Engineering instruments, meters etc. Industrial instrumentation
T Technology > TA Engineering (General). Civil engineering (General) > TA1520 Applied optics. Photonics
T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing
T Technology > TA Engineering (General). Civil engineering (General) > TA 418.9 Materials of special composition or structure
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Gang Lu
Date Deposited: 13 Mar 2017 11:22 UTC
Last Modified: 16 Feb 2021 13:43 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/60872 (The current URI for this page, for reference purposes)
Lu, Gang: https://orcid.org/0000-0002-9093-6448
Yan, Yong: https://orcid.org/0000-0001-7135-5456
  • Depositors only (login required):

Downloads

Downloads per month over past year