scholarly journals Identifying morphological characteristics of solid particles based on digital image analysis

Vestnik IGEU ◽  
2020 ◽  
pp. 64-70
Author(s):  
A.V. Ogurtzov ◽  
Yu.V. Khokhlova ◽  
V.E. Mizonov ◽  
V.A. Ogurtzov
Keyword(s):  
Image Processing ◽  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Digital Image Processing ◽  
Digital Image ◽  
Bulk Material ◽  
Morphological Characteristics ◽  
Solid Particles ◽  
Coal Particles

Enriched coal as an energy source has a number of undeniable environmental and economic advantages, and has a higher calorific value. Important characteristics that affect the technological process of coal flotation are the particle size distribution, the shape of the coal particles and their surface texture. Screen analysis is the most common method for determining the granulometric composition of granular media. However, it is not sensitive to the shape of the particles and the nature of their surface. With the sieve method of analysis, there is no direct measurement of any axes of the particle, except the case when the particle is ball-shaped. In this case, its size coincides with the edge length of the square mesh of the sieve. Thus, two particles of completely different shapes can pass through the same sieve opening. Our task was to develop a simple technique that allows identifying the shape and texture parameters of particles of the bulk material. To solve the problem in question, the algorithm implemented in MATLAB (Image Processing Toolbox) and the concept of fractals are used. A method for estimating the shape and texture of bulk material particles based on digital image processing has been proposed. The particle size distribution curves are constructed, obtained by sieving method and image processing method. It was found that these curves are in good agreement with each other. Digital image processing is an alternative to identifying the important quality characteristics of bulk materials.

Development of Method of Rapid Analysis of Particle Size Distribution of the Coal Charge Based on Digital Image Processing

2015 ◽  
Vol 770 ◽  
pp. 512-517 ◽  
Author(s):  
O.V. Tailakov ◽  
M.P. Makeev ◽  
A.N. Kormin ◽  
A.I. Smyslov
Keyword(s):  
Image Processing ◽  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Digital Image Processing ◽  
Fractional Composition ◽  
Rapid Analysis ◽  
Optical Images ◽  
Coal Charge ◽  
Filtration Properties

Therein algorithms of application of digital models for evaluation of porosity and fractional composition of coals based on analysis of their optical images are offered. The models allow allocating significant informational objects and estimation of structural and filtration properties of coals. The results of algorithms application on recognition of the optical images of coals are presented, the particle size distribution of coal charge and porosity of coal is defined.

Study on Soil Particle Size Distribution by Digital Image Processing

2013 ◽  
Vol 788 ◽  
pp. 627-630
Author(s):  
Jian Shu Hou
Keyword(s):  
Mechanical Property ◽  
Image Processing ◽  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Digital Image ◽  
Traditional Method ◽  
Processing Method ◽  
Distribution Analysis ◽  
Processing Technologies

The particle size distribution of soil is very importantto its physical and mechanical property. The ordinary method of the particlesize distribution analysis is based on shaking the soil through a set of sieves.But it will be difficult to use the method while there have particles largerthan the biggest aperture of the size sieves. Then the digital image processingwas used to solve the problem here. The processing technologies, such as imageanalysis and enhancement, deblurring, edge detection were studied to analyzethe image of soil particles. Then the image processing method was used to getthe particle size distribution accurately. Though some promotions need to becarried out in the further study, it is can be found that the image processingmethod is more efficiently than the traditional method.

scholarly journals RESEARCH OF THE EJECTING PROPERTIES OF A POLYFRACTION BULK MATERIAL FLOW

2018 ◽  
Vol 3 (3) ◽  
pp. 46-51
Author(s):  
Евгений Попов ◽  
Evgeniy Popov
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Material Flow ◽  
Bulk Material ◽  
Aerodynamic Resistance ◽  
Average Diameter ◽  
Resistance Coefficient ◽  
Free Falling ◽  
The Given

This work is aimed at confirming the adequacy of the probabilistic and statistical approach to determining the aerodynamic resistance coefficient of particles in a flow of the free falling polyfractional material, suggested by the author. The aerodynamic resistance coefficient of particles in a flow of falling material is defined by calculating the probability of finding particles out of air shadows of the neighboring particles. The laboratory experiment was performed on the offered experimental samples of bulk materials having different particle size distribution, but the identical average diameter of particles. The design of a laboratory experimental installation which allows determining the consumption of air, ejected by a polyfractional material flow, was described. The amount of the air, ejected with experimental samples, depends on their particle size distribution that confirms the insufficiency of describing the properties of bulk material only with the average diameter value. The given comparison of results of the analytical calculations with experimental data shows the reliability and adequacy of the calculated values.

Influence of Fuel in the Synthesis of ZnAl2O4 Catalytic Supports by Combustion Reaction

2010 ◽  
Vol 660-661 ◽  
pp. 52-57 ◽  
Author(s):  
Kaline Melo de Souto Viana ◽  
Bruno Brito Dantas ◽  
N.A.S. Nogueira ◽  
J.M. Sasaki ◽  
Normanda Lino de Freitas ◽  
...  
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Crystallite Size ◽  
Size Distribution ◽  
Spinel Structure ◽  
Morphological Characteristics ◽  
Combustion Reaction ◽  
Nanosized Particles ◽  
Catalytic Supports ◽  
Stoichiometric Proportion

The aim of this work is to evaluate the influence of fuel in the synthesis of ZnAl2O4 catalytic supports by combustion reaction. For this, it was used the fuels: urea, carbohidrazide, glycine and aniline. The total amount of reagents was calculated according to the theory of propellants and explosive using urea in the stoichiometric proportion (Φe = 1). The structural and morphological characteristics of the powders were evaluated by XRD, FTIR, TEM, SEM and particle size distribution. The results from XRD showed the formation of the normal cubic spinel structure. The powders presented nanosized particles with narrow agglomerates size distribution. The powders prepared with urea showed better value of surface area and smaller crystallite size.

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