ArticleACS omega2026
Characterization and Prediction of Coal Particle Size Distribution before and after Cleaning: An Integrated Experimental and Machine Learning Approach.
Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
The particle size distribution (PSD) of coal during postmining activities, such as transportation and cleaning processes, exhibits a crucial correlation with methane emission characteristics. However, systematic investigations addressing the combined effects of diverse geological conditions and processing techniques remain insufficient. This study conducted comprehensive experimental analyses on coal samples from 16 representative mines in 9 China's major coal bases, integrating mechanical sieving, dynamic image analysis, and morphological characterization to quantify full-scale PSD and shape parameter variations before and after cleaning. And machine learning models were developed to establish predictive relationships between coal properties, process parameters, and resulting granularity characteristics. The results show that fine coal particles (<1 mm) constitute a low proportion in raw coal, while medium-sized particles (1-30 mm) dominate cleaned products due to their optimal processing characteristics. The cleaning processes transform initially unimodal left-skewed PSD into distinct bimodal patterns. This shift is characterized by a significant increase in the proportion of fine particles (<1 mm) and the angularity of large particles (>10 mm), primarily due to selective removal and morphological modification mechanisms. Coal particle shape analysis reveals strong size-dependent morphological characteristics, with circularity showing concentrated distribution trends in coarse particles, while the ellipse ratio maintains dispersed patterns across all size ranges. And the cleaning process promotes gradual shape optimization from underground raw coal to clean coal. Low-rank bituminous coal maintains larger average particle sizes across all size fractions compared to higher-rank coals. Lower firmness coefficients (
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