水玻璃影响煤泥浮选效果的灰色预测  

Grey model forecast of coal flotation with sodium silicate

作　　者：徐东方[1] 朱书全[1] 朱志波 崔浩然[1] 

机构地区：[1]中国矿业大学(北京)化学与环境工程学院,北京100083

出　　处：《煤炭工程》2016年第11期124-127,共4页Coal Engineering

基　　金：国家重点基础研究发展计划基金资助项目(2012CB214901);国家自然科学基金青年基金资助项目(51404274)

摘　　要：针对浮选过程中高灰细泥严重污染泡沫产品的问题,通过添加水玻璃作为抑制剂改善煤泥浮选效果,实验表明:水玻璃用量为1000g/t时,精煤灰分降低2.13%。在浮选试验基础上,采用灰色理论对添加抑制剂后的浮选效果进行预测,建立了水玻璃影响精煤产率和降灰效果的GM(1,1)预测模型。预测结果与试验结果表明,该模型预测精度较高,适合于水玻璃对煤泥浮选效果影响的预测。Addition of sodium silicate as depressant in flotation would reduce the ash content of concentrate and improve separation effect. According to the tests, ash content was reduced by 2. 13% with 1000g/t sodium silicate addition. Based on the flotation experimental results and grey system theory, a forecast model GM （ 1, 1 ） for coal flotation with sodium silicate was proposed. The precision of the model was high according to the checkout by posterior variance examination Which is valid for estimation of coal flotation effect with sodium silicate.

关 键 词：浮选 抑制剂 水玻璃 灰色模型 

分 类 号：TD943.1[矿业工程—选矿]