深锥形槽体对细粒煤干扰沉降分级实验研究
投稿时间:2017-04-08  修订日期:2017-08-02  点此下载全文
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作者单位E-mail
史长亮 河南理工大学 化学化工学院 scl303@126.com 
王胜楠 河南理工大学 化学化工学院 wangsn2015@163.com 
马娇 河南理工大学 化学化工学院  
王飞跃 昆山浩兴电子科技有限公司  
赵继芬 河南理工大学 化学化工学院  
基金项目:河南省科技攻关项目(152102210107);河南省重点实验室开放基金资助项目(S201615);河南理工大学博士基金资助项目(B2014-010)
中文摘要:精确分级是细粒煤高效分选的基础,进而分级装置成为研究的热点。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(流量配比)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;优化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%,B1粒级级配(0.25 mm~0.125 mm和1.0 mm~0.5 mm)分级效率接近65%,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。
中文关键词:细粒煤  干扰沉降  深锥  分级效率
 
Experiment research on interference sedimentation classification of fine coal with deep cone tub
Abstract:Accurate classification is the basis of fine coal efficient sorting, classifier is becoming a hot spot of research. 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 is 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%, B1 particle size slopes (from 0.25 mm-0.125 mm and 1.0 mm -0.25 mm) classification efficiency is close to 65%. The experimental results show that deep cone interference settling classifier can effectively realize the fine coal classification.
keywords:fine coal  interference sedimentation  deep cone  classification efficiency
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