探究煤泥的密度和粒度与浮选速率常数k之间的关系
发布时间:2018-06-18 02:39
本文选题:浮选速率常数 + k值计算方法 ; 参考:《安徽理工大学》2015年硕士论文
【摘要】:选煤数学模型可以阐述选煤过程的本质,找出影响产量的因素以及相关性,在生产实践中实现最优化生产。且建立数学模型,具有经济、高效等优点,结合电子计算机更可进一步缩短设计周期。目前浮选数学模型的研究在选煤领域应用越来越重要,进一步提高选煤厂效益主要来自对于浮选环节的精煤回收率。本文主要对淮南某矿区的原煤样,经筛分破碎得到-0.5mm粒级作入浮物料进行试验,对煤泥在实验室首先按密度、粒度分品级,对各品级分批进行浮选,在间隔△t时间内分别刮泡得出产率,再使用图解法、寻优解法,使用对数使得数据关系线性化,并结合线性回归等数学方法使得运算更加准确、高效。在给定和改变最大回收率的不同情况下,求得浮选速率常数k值,得出相互之间的关系,探索研究k值与煤泥密度和粒度之间的变化关系及分布,得出k值关于密度、粒度的分布函数式,丰富了煤泥浮选数学模型的相关知识。最后将所求k值应用在浮选模拟计算中,模拟4槽机械搅拌式浮选机的迭代计算,在excel下计算出浮选精煤、尾煤的产量和灰分,以及对浮选时间等结果的预测,体现了k值的求解对浮选产品的预测、选煤厂浮选过程的优化中有着重要的指导作用。
[Abstract]:The mathematical model of coal preparation can explain the essence of coal preparation process, find out the factors affecting production and its correlation, and realize the optimization of production in production practice. Moreover, the mathematical model has the advantages of economy and efficiency, and the design cycle can be further shortened with the combination of computer. At present, the research on mathematical model of flotation is more and more important in the field of coal preparation, and further improving the benefit of coal preparation plant mainly comes from the recovery rate of clean coal for flotation link. In this paper, the raw coal samples from Huainan mining area were tested for floating material by sieving and crushing -0.5mm particles. The slime was first classified according to density and particle size, and each grade was floated in batches. In the interval t time, the production rate is obtained separately, then the graph method, the optimization solution, the logarithm are used to linearize the data relations, and the mathematical methods such as linear regression are used to make the calculation more accurate and efficient. When the maximum recovery rate is given and changed, the flotation rate constant k value is obtained, the relationship between k value and coal slime density and particle size is studied, and the k value is obtained with respect to density. The distribution function of particle size enriches the knowledge of mathematical model of coal slime flotation. Finally, the calculated k value is applied in the flotation simulation calculation to simulate the iterative calculation of the 4-slot mechanical agitation flotation machine. The output and ash content of the flotation concentrate coal and the tail coal are calculated under excel, and the flotation time is predicted. The calculation of k value can predict the flotation product, and it plays an important guiding role in the optimization of flotation process of coal preparation plant.
【学位授予单位】:安徽理工大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:TD94
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