Bayesian Material Separation Model with Applications to Recycling

Abstract

In this paper we present a probabilistic model of material separation processes. The model, based on Bayes' Theorem can estimate the performance of any binary separation process. Given input material data and the probabilistic characteristics of the separation process, the model estimates the masses and concentrations of the output streams. Applications of this model to separation processes, including those used in material recycling, are demonstrated.