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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/376

Title: Application of hierarchical clustering for classification of coal seams with respect to their proneness to spontaneous heating
Authors: Panigrahi, D C
Sahu, H B
Issue Date: 2004
Publisher: Maney
Citation: Mining Technology, Vol 113, No 2, P 97-106
Abstract: This paper presents an investigation into the application of hierarchical clustering method for classification of coal seams with respect to their spontaneous heating susceptibility. In this research work, 31 coal samples were collected from different Indian coalfields covering both fiery and non-fiery coal seams of varying ranks spreading over 8 different mining companies. Proximate, ultimate and petrographic analyses have been carried out to determine the intrinsic properties of these samples. Five different experimental methods, viz. crossing point temperature (CPT), differential thermal analysis (DTA), critical air blast (CAB) analysis, wet oxidation potential difference analysis and differential scanning calorimetric (DSC) studies have been used to study the spontaneous heating susceptibility indices of these samples. Correlation studies have been carried out considering the intrinsic properties of coal obtained from proximate, ultimate and petrographic analyses as independent var...
Description: Copyright for this article belongs to Maney DOI: 10.1179/037178404225005002
URI: http://hdl.handle.net/2080/376
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