节点文献

深锥形槽体对细粒煤干扰沉降分级实验研究

Experimental research on the interference sedimentation classification of fine coal with deep cone tub

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 史长亮王胜楠马娇王飞跃赵继芬

【Author】 SHI Changliang;WANG Shengnan;MA Jiao;WANG Feiyue;ZHAO Jifen;College of Chemistry and Chemical Engineering,Henan Polytechnic University;Henan Key Laboratory for Green and Efficient Mining & Comprehensive Utilization of Mineral Resources;Kunshan Haoxing Electronic Technology Co.,Ltd.;

【机构】 河南理工大学化学化工学院河南省矿产资源绿色高效开采与综合利用重点实验室昆山浩兴电子科技有限公司

【摘要】 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0.50m/s、矿浆浓度40%时,粒级级配(0.25~0.125mm和1.0~0.5mm)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。

【Abstract】 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 follows: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 about5%-15%.The experimental results show that deep cone interference settling classifier can effectively realize the fine coal classification.

【基金】 河南省科技攻关项目资助(编号:152102210107);河南省重点实验室开放基金项目资助(编号:S201615);河南理工大学博士基金项目资助(编号:B2014-010)
  • 【文献出处】 中国矿业 ,China Mining Magazine , 编辑部邮箱 ,2018年04期
  • 【分类号】TD94
  • 【被引频次】1
  • 【下载频次】76
节点文献中: 

本文链接的文献网络图示:

本文的引文网络