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TGA/DSC study to characterise and classify coal seams conforming to susceptibility towards spontaneous combustion

Authors :
Niroj Kumar Mohalik
Somu Mandal
Santosh Kumar Ray
Asfar Mobin Khan
Debashish Mishra
Jai Krishna Pandey
Source :
International Journal of Mining Science and Technology, Vol 32, Iss 1, Pp 75-88 (2022)
Publication Year :
2022
Publisher :
Elsevier, 2022.

Abstract

Thermogravimetric analysis/differential scanning calorimeter (TGA/DSC) technique along with basic coal characteristics study is carried out for eighty coal samples of Indian coalfields, to determine spontaneous combustion propensity behaviour of coal. TGA study of coal samples indicates that there is an increase in the mass of coal samples in the temperature range 150–350 ℃, which may be due to oxygen adsorption and absorption. The correlation and principal component analysis states that the component of proximate analysis (Mad, VMd, FR, and VR) have an acceptable correlation with the TGA experiments results i.e., Tgsh and Tgign. Multiple fixed nonlinear regression analysis shows that thermogravimetry (TG) experiment results Tgign may be the best index to categorise/classify the coal as per their susceptibility towards spontaneous combustion. The authors proposed four groups of classification as per their propensity towards spontaneous combustion depending upon the moisture (Mad), volatile matter (VMd), and TG ignition temperature from differential thermogravimetric (DTG) curve (Tgign) using hierarchal clustering analysis. The coal samples of different seams from Indian coalfield may be classified into four different clusters, viz. very highly/extremely susceptible (Tgign 320 ℃). The field observations and TGA/DSC experiment results with the following statistical analysis substantiate a similar assessment.

Details

Language :
English
ISSN :
20952686
Volume :
32
Issue :
1
Database :
Directory of Open Access Journals
Journal :
International Journal of Mining Science and Technology
Publication Type :
Academic Journal
Accession number :
edsdoj.5750df080bef470d979507b2a72b90c0
Document Type :
article
Full Text :
https://doi.org/10.1016/j.ijmst.2021.12.002