Modeling of Separation of Granular Materials on Multiple-Deck Classifiers Using the Theory of Stochastic Processes


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The mathematical model of the separation of granular materials on multiple-deck sieve classifiers has been constructed using the theory of Poisson processes and the model has been identified. The problem of the optimal implementation of the process in multicriterial setting has been formulated and solved; the engineering simulation of the classifier has been performed using this solution.

作者简介

F. Akhmadiev

Kazan State University of Architecture and Engineering

编辑信件的主要联系方式.
Email: akhmadiev@kgasu.ru
俄罗斯联邦, Kazan, Tatarstan, 420043

R. Gizzyatov

Kazan State University of Architecture and Engineering

Email: akhmadiev@kgasu.ru
俄罗斯联邦, Kazan, Tatarstan, 420043

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