Open AccessComputational and experimental study of classification of a mixture of dissimilar components
Author(s) -
A.Ye. Barochkin,
A. N. Belyakov,
Henryk Otwinowski,
T. Wyleciał,
E.V. Barochkin
Publication year - 2020
Publication title -
vestnik igèu
Language(s) - English
Resource type - Journals
ISSN - 2072-2672
DOI - 10.17588/2072-2672.2020.5.056-063
Subject(s) - process engineering , process (computing) , component (thermodynamics) , computer science , fraction (chemistry) , basis (linear algebra) , mathematical model , biological system , biochemical engineering , mathematics , engineering , chemistry , thermodynamics , physics , geometry , statistics , organic chemistry , biology , operating system
The classification of particles by size is traditionally considered in relation to homogeneous materials, which must be divided into coarse and fine products. However, often there are the impurities in the material that differ in their physical properties from the base component. When classifying such mixtures, the difference in physical properties can be used to isolate, purify, or enrich the main component. The choice of the technology for such processing dissimilar components is possible based on simple and adequate models. The formulation and solution of classification problems for mixtures of dissimilar components on the basis of adequate models is the relevant issue for the power industry and related industries. Fundamental laws of dispersed systems dynamics are used to simulate the classification process; mathematical programming methods are used to identify models and improve separation technology. Experimental study of the separation of a mixture of dissimilar components in a two-stage classifying system has been carried out. Using the obtained experimental data, the model was identified, and its adequacy was shown. The presented experimental results and computational model can be used to formulate and solve optimization problems of fractionation of dispersed materials and to increase the efficiency of the process in classifying systems. The results obtained can be used in the energy, chemical and other industries to improve the efficiency of resource and energy-saving technologies for obtaining dispersed products with acceptable content of impurities.