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浮选气泡粒度分布规律
引用本文:张世杰,刘文礼,赵树凯,杨宗义. 浮选气泡粒度分布规律[J]. 煤炭学报, 2015, 40(2): 445-449
作者姓名:张世杰  刘文礼  赵树凯  杨宗义
作者单位:中国矿业大学(北京) 化学与环境工程学院,北京 100083
摘    要:定量研究不同起泡剂的气泡粒度分布特性及其差异,选择仲辛醇、松油醇和MIBC等起泡剂,在XDF-2L实验室浮选机上利用图像分析法测定了不同类型起泡剂下气泡的粒度大小,研究了起泡剂类型和浓度对气泡粒度分布的影响。结果表明,浮选槽中不同起泡剂在不同浓度下的气泡粒度分布遵循upper-limit分布或对数正态分布规律;起泡剂种类和浓度均会影响气泡粒度分布;随起泡剂浓度的增加,小气泡所占比例迅速增多,大气泡明显减少,粒度范围变窄,当超过临界值时,气泡粒度分布基本不变;仲辛醇、松油醇和MIBC的临界兼并浓度分别为0.066,0.113和0.181 mmol/L;当起泡剂浓度大于临界兼并浓度时,仲辛醇和松油醇产生的气泡大小略低于MIBC。

关 键 词:气泡粒度  起泡剂  upper-limit分布  对数正态分布  
收稿时间:2014-09-28

Bubble size distribution rules in flotation cell
ZHANG Shi-jie,LIU Wen-li,ZHAO Shu-kai,YANG Zong-yi. Bubble size distribution rules in flotation cell[J]. Journal of China Coal Society, 2015, 40(2): 445-449
Authors:ZHANG Shi-jie  LIU Wen-li  ZHAO Shu-kai  YANG Zong-yi
Affiliation:ZHANG Shi-jie;LIU Wen-li;ZHAO Shu-kai;YANG Zong-yi;School of Chemical & Environmental Engineering,China University of Mining and Technology(Beijing);
Abstract:In order to quantitatively study the bubble size distribution and their differences with different frothers,bubble size was measured using image analysis technique in flotation machine XDF-2L in lab with three frothers,2-Octyl alcohol,Alpha-Terpineol and MIBC;the effect of frother type and concentration on bubble size distribution was investigated.Results show that bubble size distributions using frothers with different types and concentrations in flotation cell obey upper-limit distribution and log-normal distribution.With an increase of frother concentration,the proportion of small bubbles decreases while large bubbles are in opposite direction,and the width of bubble size distribution decreases accordingly.When forther dosages exceed the critical coalescence concentration (CCC),bubble size distribution is almost the same.The critical concentrations of 2-Octyl alcohol,Alpha-Terpineol and MIBC are 0.066,0.113 and 0.181 mmol/L,respectively.2-Octyl alcohol and Alpha-Terpineol produce finer bubbles than MIBC at concentrations above CCC.
Keywords:bubble size  frother  upper-limit distribution  log-normal distribution
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