Abstract
This paper focuses on the filtration of dust particles and loading characteristics in underground coal mines using fibrous surface filters. A new analytical model was developed based on the single particle filtration theory for fibrous surface filters. The model was first validated using data collected in a laboratory setting. Then, the model was simplified using the median particle size of polydisperse particles to reduce the computational cost and to improve the engineering applicability. The maximum relative error is 12% or less. Finally, the simplified model was further validated using data collected with large-scale cartridge filters installed in an underground coal mine. Overall, this study provides a practical tool to predict the filtration efficiencies of fiber surface filters in underground coal mines.
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