Abstract
Coking coal dust is extremely hydrophobic; therefore, combination with droplets in the air is difficult and dust suppression is challenging. Here, a dust suppressant spray for coking coal dust was studied in order to improve of the combination of droplets and coking coal dust. Based on monomer optimization and compounding analysis, two surfactant monomers, fatty alcohol ether sodium sulfate (AES) and sodium dodecyl benzene sulfonate (SDBS) were selected as the surfactant components of the dust suppressant. The surfactant monomers were combined with four inorganic salts and the reverse osmosis moisture absorption of each solution was determined. By combining the reverse osmosis moisture absorption values with the water retention experimental results, CaCl2 was identified as the optimal inorganic salt additive for the dust suppressant. Finally, the optimal concentration of each component was obtained using orthogonal experimental design i.e., AES (0.03%), SDBS (0.05%), and CaCl2 (0.4%). The dust suppressant solution formulated using this method had a high moisture absorption capacity and excellent performance.Graphic
Highlights
Different mining processes, e.g., coal mining and transportation, generate varying amounts of dust
The analysis indicated that different types of surfactant performed differently in trapping dust particles with a surface charge; in particular, it was shown that non-ionic surfactants had the highest dust trapping efficiency
Six surfactants were selected from a total of ten surfactant monomers as suitable dust suppressants for coking coal dust, using surface tension, contact angle, and reverse osmosis analyses
Summary
E.g., coal mining and transportation, generate varying amounts of dust. Some studies report the addition of surfactants to water, which provide the resulting solution with a lower surface tension and improve the wetting performance of the spraying process (Yang et al 2007; Tessum and Raynor 2017). Other studies have shown that surfactants significantly reduce the surface tension of water, and that the reduction effect is dependent on surfactant type and concentration (Omane et al 2018; Wang et al 2019d). Wu and Gu (2001) investigated the impact of inorganic salt additives on the wetting performance of anionic surfactant solutions through experimental and theoretical analyses. Li et al (2016) compared the wetting properties of a sodium dodecyl sulfate (SDS) solution with five different additives and assessed its suitability for coal dust trapping using surface tension, contact angle, and reverse osmosis experiments. The optimal combination of concentrations of the three components was obtained via orthogonal experimentaldesign to obtain the spray dust suppressant formulation for coke coal dust
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