2021
DOI: 10.2298/tsci200104104b
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Principal component analysis of the effect of coal quality indexes on the maximum explosion pressure of coal dust

Abstract: It is well-known that the calorific value and heat transfer speed of coal are closely related to the coal quality index, and affect the explosion intensity and the maximum explosion pressure of coal dust explosion. In this paper, the pressure for different coal quality indexes is studied experimentally, and the main parameters affecting the pressure are elucidated by the principal component analysis of multivariate statistical analysis.

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Cited by 3 publications
(2 citation statements)
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“…A reliable regression model is obtained to predict the LEL of the coal dust with different coal quality indexes. Additionally, an optimization problem for the LEL can be quickly established and solved, and the thermal instability [9] and the thermal oscillation [12][13][14] are two future topics.…”
Section: Discussionmentioning
confidence: 99%
“…A reliable regression model is obtained to predict the LEL of the coal dust with different coal quality indexes. Additionally, an optimization problem for the LEL can be quickly established and solved, and the thermal instability [9] and the thermal oscillation [12][13][14] are two future topics.…”
Section: Discussionmentioning
confidence: 99%
“…CFD based simulation was made to investigate the fire scene of an arson fire in Quakers Hill, Sydney, in Nov 2011 [12]. There are many similar works on powder explosion with numerical studies [13][14][15]. An effective numerical algorithm was developed for a gas-melt two-phase flow and used to simulate a polymer melt filling process [16,17].…”
Section: Introductionmentioning
confidence: 99%