摘要
采用罗辛-拉姆勒粒度特性方程式和高登-安德列耶夫-舒曼粒度特性方程式对31组选煤厂煤泥的筛分试验数据进行曲线拟合,拟合结果表明:罗辛方程式拟合误差较小,更适用于评价煤泥的粒度特性;对浮选入料煤泥来说,罗辛方程式中参数几值与煤泥的加权平均粒径d_s具有良好的线性关系,且参数b与参数n之间存在依存关系。
Rosing—laemmle granularity characteristic equation and Gordon—Andre—Schumann granularity characteristic equation were used to fit 31 groups of slime sieving data of coal preparation plant.The results suggested that Rosing equation which had the advantages of smaller fitting error was more suitable for evaluating the particle characteristics of slime.For the floatation feed slime,the parameters n and weighted mean particle size d_s of Rosing equation had a good linear relationship and there was a dependency relationship between parameters b and n.
出处
《煤质技术》
2015年第4期68-71,共4页
Coal Quality Technology
关键词
粒度特性
煤泥
粒度分布
罗辛粒度特性方程式
高登粒度特性方程式
拟合误差
加权平均粒径
granularity characteristic
coal slime
particle size distribution
Rosing granularity characteristic equation
Gordon granularity characteristic equation
fitting error
weighted mean particle size