摘要
粘土矿物粒度细且易泥化,在煤泥水中能够形成稳定的胶体悬浮液,严重影响煤泥水的絮凝沉降,是选煤厂智能化加药模型的重要决策因素。本文以煤泥水中最常见的主要粘土矿物蒙脱石为代表,设计絮凝沉降正交实验,在显著性评价的基础上,用线性回归法分别拟合沉降速率和上清液浊度与煤泥水浓度、蒙脱石含量和凝聚剂加药量的关系模型。结果显示,以氯化铝为凝聚剂,实验范围内煤泥水沉降速度与浓度负相关,与凝聚剂加药量正相关;上清液浊度随着加药量的增加而降低,随着蒙脱石含量的增加而增加。所得凝聚剂药剂量与煤泥水浓度及蒙脱石含量的关系模型,可以作为煤泥水智能加药控制模型的参考。
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.
作者
刘利明
李志军
刘仓
张琦
Liu Liming;Li Zhijun;Liu Cang;Zhang Qi(National Energy Group Zhunneng Group Co.,Ltd.,Ordos 010300,China)
出处
《煤炭与化工》
CAS
2024年第1期115-119,共5页
Coal and Chemical Industry
关键词
蒙脱石
凝聚剂
正交实验
加药模型
montmorillonite
coagulant
orthogonal experiment
dosing model
