Research on online detection of particle size in fine-grained coal classification overflow

• Published in: Gong kuang zi dong hua = Industry and mine automation Vol. 50; no. 5; pp. 44 - 51, 59
• Main Authors: SUN Haozhi, MA Jiao, SHI Changliang, WANG Hanlu
• Format: Journal Article
• Language: Chinese
• Published: Editorial Department of Industry and Mine Automation 01.05.2024
• Subjects: coal particle size distribution; coal washing and selection; detection of overflow particle size; fine-grained coal classification; hydraulic classification; ultrasonic attenuation
• ISSN: 1671-251X
• DOI: 10.13272/j.issn.1671-251x.2024040010

Real time online detection of the particle size of the overflow in the selection and classification of fine-grained coal can be carried out, and the classification parameters can be adjusted to reduce the content of coarse particles in the overflow and improve the total clean coal recovery rate. The current research generally limits the detection of overflow particle size to around 180 μm, and the upper limit of slurry volume concentration is 10%. It cannot meet the requirements of overflow particle size detection for fine-grained coal classification cyclones with coarse particle size, wide particle size range, and high volume concentration. A set of ultrasonic online particle size detection system has been developed to improve the upper limit of coal particle size and slurry volume concentration detection. Based on the ultrasonic attenuation model, a coal particle size detection model suitable for on-site conditions of fine-grained coal classification with coal particle size of 44.5-600 μm and slurry volume