ABSTRACT

The correlation between froth properties and the quality of the froth product is the key to predict flotation performance and improve the automatic control of flotation. It is known that froth gray value increases with the clean coal ash content and is often used in the prediction of coal flotation performance. But the accuracy of ash content prediction is usually unsatisfactory because the froth gray value can be easily interfered by the circumstance. In this study, the average gray value of the black experimental table was selected as the reference block to correct the froth gray value. The inaccurate froth gray value was corrected by the initial gray value and the gray value fluctuation of the reference block. The R² of the linear fitting between froth gray value and clean coal ash content increased from 0.64 to 0.93 after the correction. This work showed that the correction method can significantly improve the accuracy of flotation performance prediction by gray value.

摘要

泡沫性质与泡沫产品质量的相关性是预测浮选性能和提高浮选自动化控制的关键。已知泡沫灰度值随精煤灰分含量的增加而增加，常用于煤浮选性能的预测。但由于泡沫灰度值容易受到外界环境的干扰，因此灰分预测的准确性通常不能令人满意。本研究选取黑色实验台面的平均灰度值作为参考块对泡沫灰度值进行校正。通过初始灰度值和参考块的灰度值波动对不准确的泡沫灰度值进行校正。R ² _修正后泡沫灰度值与精煤灰分的线性拟合由0.64提高到0.93。这项工作表明，该校正方法可以显着提高灰度值预测浮选性能的准确性。