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可浮性k值的分布密度函数f(x)是常数k_m和k_p所唯一确定的г分布。概率微元f(k)dk的实验室闭路浮选可以用马尔科夫随机过程来描述,所导出的中矿浮选动力学模型是一组无穷递减等差数列。模型参数用回归法确定。只要进行一些较简单的试验,即可用按本模型编的程序在计算机上进行多种模拟试验。经实际验证模拟结果与试验结果吻合较好。
The distribution density function f (x) for floatable k values is the uniquely determined г distribution for constants k_m and k_p. Laboratory closed-circuit flotation of probability micro-element f (k) dk can be described by the Markov random process. The derived mid-ore flotation kinetic model is a set of infinitely decreasing series of arithmetic errors. Model parameters are determined by regression. As long as some simpler tests are carried out, a variety of simulation tests can be performed on the computer using the program compiled according to this model. The actual simulation results agree well with the experimental results.