Vibration separation of bulk construction mixtures by measurement sizes on sieve classifiers

Abstract

The vibrational separation of bulk building mixes by size is studied using stochastic-based sieve classifiers. The system of stochastic differential equations is constructed to determine the linear density of particles on the surface of the classifier sieves. The linear density of particles on sieves is approximated by white noise, which allows the system of equations to be called stochastic. The solution of the system of stochastic differential equations with respect to the average value of a random process is determined. We construct an approximate solution for the distribution density and transition probabilities of a random process using the properties of the white noise. Knowing the density of the distribution of the number of particles on the surface of the classifier sieves determines all its characteristics of interest. The obtained solutions allow us to calculate the extraction coefficient and evaluate the efficiency of separation.

Cleaning of grain sowing material from weed seeds for the sustainable development of agriculture

“…One of the most important stages of clearing fields from clogging is cleaning the seeds. Separation of grain mixtures is an integral part of various technological processes, including the preparation of seed material and plant materials [1,2]. This is a preventive phase that is important in the integrated control of weed.…”

Optimization of separation of two-component mixtures of seeds under horizontal vibration

“…Separation of bulk mixtures is an essential part of various technological processes including the processing of preparation of seed material and plant row materials [1,2]. In the separation of seeds, the possibilities of using both wet separation and flotation, which are widely used in the chemical and construction industries, are limited.…”

Calculation of multilayer sieve classifiers for separating grained materials by size

“…The results of the study of the processes of separation of granular materials on multitiered sieve classifiers by the authors of this article were published in [2,9,[15][16][17]. The work [2] considers a mathematical model of the process of thin-layer separation of granular materials on multi-tiered sieve classifiers based on the theory of Markov processes.…”