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Maximum entropy method in comminution modelling

机译:粉碎建模中的最大熵法

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This paper analyses the comminution process. There are two random functions: the selection function and the breakage function in the stochastic model based on population balance. Introducing the energy balance, applying the maximum informational entropy method and taking into consideration the normalized condition, enables us to formulate and solve the variational problem and determine the breakage function by Lagrange's multipliers method. The above determination of the breakage function is an original new method. The sought form of the breakage function is an argument of the constrained extremum of an integral functional with two indirect conditions. The obtained form of the breakage function was applied to the equation of the population balance. This leads to the prediction of the particle size distribution of the single comminution product with an additional assumption concerning the form of the selection function.
机译:本文分析了粉碎过程。基于人口平衡的随机模型有两个随机函数:选择函数和破损函数。引入能量平衡,应用最大信息熵方法并考虑归一化条件,使我们能够制定和解决变分问题并通过拉格朗日乘数法确定破损函数。破损函数的上述确定是原始的新方法。破坏函数的寻求形式是具有两个间接条件的整数函数的约束极值的参数。将获得的破损函数形式应用于总体平衡方程。这导致对单个粉碎产物的粒度分布的预测,并带有关于选择函数形式的附加假设。

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