Abstract：Clay minerals are fine in particle size and easy to slime. They can form stable colloidal suspension in slime water, which seriously affects the flocculation and sedimentation of slime water. It is an important decision-making factor for the intelligent dosing model of coal preparation plant. In this paper, the most common clay mineral montmorillonite in coal slime water is taken as the representative, and the orthogonal experiment of flocculation sedimentation is designed. On the basis of significance evaluation, the linear regression method is used to fit the relationship model of sedimentation rate and supernatant turbidity with coal slime water concentration, montmorillonite content and coagulant dosage. The results show that the sedimentation rate of coal slime water is negatively correlated with the concentration and positively correlated with the dosage of coagulant in the experimental range with aluminum chloride as the coagulant. The turbidity of supernatant decreased with the increase of dosage, and increased with the increase of montmorillonite content. The relationship model between the dosage of coagulant and the concentration of slime water and the content of montmorillonite can be used as a reference for the intelligent dosing control model of slime water.
刘利明，李志军，刘 仓，张 琦. 含蒙脱石煤泥水的凝聚沉降效果评价与加药预测[J]. 煤炭与化工, 2024, 47(1): 115-119.
Liu Liming, Li Zhijun, Liu Cang, Zhang Qi. Evaluation of coagulation sedimentation effect and dosing prediction of coal slime water containing montmorillonite. CCI, 2024, 47(1): 115-119.
