Rapid prediction of floating and sinking components of raw coal

被引:0
|
作者
Wang Guanghui
机构
基金
国家教育部博士点专项基金资助; 中国国家自然科学基金;
关键词
Raw coal Floating and sinking components Fast floating and sinking data Predicting model;
D O I
暂无
中图分类号
TD94 [选煤];
学科分类号
081902 ;
摘要
A model that rapidly predicts the density components of raw coal is described.It is based on a threegrade fast float/sink test.The recent comprehensive monthly floating and sinking data are used for comparison.The predicted data are used to draw washability curves and to provide a rapid evaluation of the effect from heavy medium induced separation.Thirty-one production shifts worth of fast float/sink data and the corresponding quick ash data are used to verify the model.The results show a small error with an arithmetic average of 0.53 and an absolute average error of 1.50.This indicates that this model has high precision.The theoretical yield from the washability curves is 76.47% for the monthly comprehensive data and 81.31% using the model data.This is for a desired cleaned coal ash of 9%.The relative error between these two is 6.33%,which is small and indicates that the predicted data can be used to rapidly evaluate the separation effect of gravity separation equipment.
引用
收藏
页码:735 / 738
页数:4
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