scholarly journals DEVELOPMENT OF AN ALGORITHM FOR IDENTIFYING ORE DISSEMINATION FUNCTION

2019 ◽  
Vol 6 (125) ◽  
pp. 105-112
Author(s):  
Nataliya Pryadko ◽  
Alina Havrilko
Keyword(s):  
Distribution Function ◽  
Content Analysis ◽  
Size Distribution ◽  
Mineral Exploration ◽  
Size Distribution Function ◽  
Size Class ◽  
Valuable Component ◽  
Size Classes

The work is devoted to one of the mineral exploration field for processing - identification of disseminated function. The purpose of the work is to develop a methodology for determining the impregnation function according to the known size classes and the distribution of grains according to the content of valuable mineral in the size classes. An algorithm for determining of the impregnation distribution function by size classes is proposed. Having performed the classification of the crushed product according to size classes the content analysis of the valuable component in each size class is further analyzed, which allows determining the intergrowths distribution function in each size class. It is shown that the dependence of the impregnation distribution function on the size distribution function of the product is nonlinear.

Informational Measures of the Shape of the Amoroso Distributions for the Research of Dispersed Materials

2021 ◽  
Vol 1031 ◽  
pp. 58-66
Author(s):  
Vitaly Polosin
Keyword(s):  
Particle Size ◽  
Distribution Function ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Applied Research ◽  
Particle Distribution ◽  
Size Distribution Function ◽  
Distribution Model ◽  
Information Uncertainty ◽  
Particle Size Distribution Function

For the particle size distribution function various forms of exponential models are used to construct models of the properties of dispersed substance. The most difficult stage of applied research is to determine the shape of the particle distribution model. For the particle size distribution function various forms of exponential models are used to construct models of the properties of dispersed substance. The most difficult stage of applied research is to determine the shape of the particle distribution model. The article proposes a uniform model for setting the interval of information uncertainty of non-symmetric particle size distributions. Based on the analysis of statistical and information uncertainty intervals, new shape coefficients of distribution models are constructed, these are the entropy coefficients for shifted and non shifted distributions of the Amoroso family. Graphics of dependence of entropy coefficients of non-symmetrical distributions show that distributions well-known are distinguish at small of the shapes parameters. Also it is illustrated for parameters of the form more than 2 that it is preferable to use the entropy coefficients for the unshifted distributions.The material contains also information measures for the well-known logarithmic normal distribution which is a limiting case of distribution Amorozo.

Analysis of Nanopowders by Small-Angle X-Ray Scattering Method’s

2012 ◽  
Vol 7 (4) ◽  
pp. 107-116
Author(s):  
Sergey Bardakhanov ◽  
Ludmila Vikulina ◽  
Vladimir Lysenko ◽  
Andrey Nomoev ◽  
Sergey Poluyanov ◽  
...  
Keyword(s):  
Distribution Function ◽  
Size Distribution ◽  
Small Angle ◽  
Electron Accelerator ◽  
Size Distribution Function ◽  
X Ray ◽  
X Ray Scattering ◽  
Ray Scattering

The possibility of application of small-angle X-ray scattering (SAXS) for nanopowders analysis was studied. The research for eight silica powders (including four powders obtained by the authors with help of electron accelerator) was conducted. The possibility of application of small angle X-ray scattering for determination of size distribution function of nanoparticles was shown

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