Research on moisture detection of coal slime filter cake based on a flow-moisture model

YAN Hui; WANG Mengmeng; LI Jiangpeng; XUE Yingbin

doi:10.16447/j.cnki.cpt.2025.04.005

Abstract：Aiming at the problems in the coal slime filter pressing process,such as excessively long pressing time,the difficulty of achieving real-time moisture detection throughout the process with existing filter presses,high energy consumption,and long filtration cycles,this study investigates the variation pattern of moisture re-moval from filter cake with pressing time.Using an automatic constant-stress testing machine,the evolution characteristics of dewatering for coal slime filter cakes under different particle sizes,slurry viscosities,and pres-sures were analyzed.A mathematical derivation model based on filtrate flow rate and filter cake moisture was established,and a moisture detection device for coal slime filter cake was designed to achieve real-time mois-ture monitoring throughout the filter pressing process.Experimental results show that under the same pressure,filter cake moisture decreases as coal slime particle size increases.Higher slurry viscosity makes dewatering dur-ing filter pressing more difficult.Increasing the filter pressing pressure can effectively reduce filter cake mois-ture.When the feeding pressure increased from 5 MPa to 10 MPa,the filter cake moisture decreased from 24.7%to 13.7%.Compared with traditional coal slime moisture detection methods,the developed moisture detection device achieves an accuracy of up to 97%.The research results provide theoretical and practical technical sup-port for reducing energy consumption in the coal slime filter pressing process,improving solid-liquid separation efficiency,and advancing intelligent coal slime filter pressing.