This paper mainly studied the fine coal classification efficiency with self-developed deep cone interference settling classifier under different influencing factors.The results show that the water supply using the bottom and the central form at the same time,is conducive to fine coal classification,and the bottom water volume to the central water volume (the ratio of flow) has impact on the classification efficiency,but not obvious.Also the feeding velocity and density is lower,fine coal classification efficiency is higher.Optimization the suitable conditions as follow s:the flow ratio is 2:1,feeding speed is 0.50 m/s, pulp density is 40%,particle size slopes (0.25-0.125 mm and 1.0-0.25 mm)classification efficiency is close to 65%.Compared with the conventional cyclone,the classification efficiency is increased by about 5%-15%.The experimental results show that deep cone interference settling classifier can effectively realize the fine coal classification.%本文重点研究了自制深锥形干扰沉降分级机在不同影响因素下对细粒煤的分级效率,结果表明:底部和中部同时给水形式的设计有利于细粒煤分级,底部与中部给水量比值对分级效率有一定影响但不明显;给料速度及浓度值越低,细粒煤分级效率越高.该装置的适宜分级条件为流量配比2:1、给料速度0.50 m/s、矿浆浓度40% 时,粒级级配(0.25~0.125 mm和1.0~0.5 mm)分级效率接近65%,较常规分级旋流器分级效率50% ~60% 提高约5% ~15%,实验结果表明深锥形干扰沉降分级机可有效实现细粒煤的分级.
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