Neural Network Modeling Methods in the Analysis of the Processing Plant’s Indicators

Ushakov, E. K.; Aleksandrova, T. N.; Romashev, A. O.

doi:10.1007/978-3-030-57453-6_4

Cited by 12 publications

(17 citation statements)

References 3 publications

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“…Minerals 2021, 11, x FOR PEER REVIEW 2 of 17 financial and labor resources required to justify the adopted technical and technological solutions [13][14][15].…”

Section: Methodsmentioning

confidence: 99%

“…The main advantage of fundamental modeling over empirical modeling is the ability to effectively analyze any factors affecting the comminution process. The combined use of these two directions of modeling allows engineers, designers, and scientists to Minerals 2021, 11, 485 2 of 17 reduce the financial and labor resources required to justify the adopted technical and technological solutions [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

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Semi-Autogenous Wet Grinding Modeling with CFD-DEM

Lvov

Chitalov

2021

Minerals

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The paper highlights the features of constructing a model of a wet semi-autogenous grinding mill based on the discrete element method and computational fluid dynamics. The model was built using Rocky DEM (v. 4.4.2, ESSS, Brazil) and Ansys Fluent (v. 2020 R2, Ansys, Inc., United States) software. A list of assumptions and boundary conditions necessary for modeling the process of wet semi-autogenous grinding by the finite element method is presented. The created model makes it possible to determine the energy-coarseness ratios of the semi-autogenous grinding (SAG) process under given conditions. To create the model in Rocky DEM the following models were used: The Linear Spring Rolling Limit rolling model, the Hysteretic Linear Spring model of the normal interaction forces and the Linear Spring Coulomb Limit for tangential forces. When constructing multiphase in Ansys Fluent, the Euler model was used with the primary phase in the form of a pulp with a given viscosity and density, and secondary phases in the form of air, crushing bodies and ore particles. The resistance of the solid phase to air and water was described by the Schiller–Naumann model, and viscosity by the realizable k-epsilon model with a dispersed multiphase turbulence model. The results of the work methods for material interaction coefficients determination were developed. A method for calculating the efficiency of the semi-autogenous grinding process based on the results of numerical simulation by the discrete element method is proposed.

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“…Minerals 2021, 11, x FOR PEER REVIEW 2 of 17 financial and labor resources required to justify the adopted technical and technological solutions [13][14][15].…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Semi-Autogenous Wet Grinding Modeling with CFD-DEM

Lvov

Chitalov

2021

Minerals

View full text Add to dashboard Cite

show abstract

“…This, in turn, has led to the complication of technological schemes used in their processing. − Analysis of the current technical solutions for the processing of iron ores showed that the high-grade ores are directly exposed to metallurgical processing. However, low-grade ores depending on mineralogical and material composition are directed to beneficiation including gravitational, magnetic, and flotation processes or their combination. − The search for new technologies and improvement of existing technologies for the processing of iron-containing mineral raw materials will make it possible to compensate for the decrease in the quality of the mineral resource base of iron ores by involving complex and low-quality raw materials in the processing. − …”

Section: Introductionmentioning

confidence: 99%

“…Obtaining high-quality concentrates with high iron content and low content of impurities from low-grade iron ores requires the maximum possible liberation of valuable minerals and high accuracy of separating features (difference in density, magnetic susceptibility, wettability, etc.). One of the upcoming trends in the processing of iron-bearing ores from the technological point is regrinding and flotation repreparation of iron ore concentrates obtained after magnetic separation. − ,, An actual trend for the investigation of flotation of iron ores is the selection of reagent regimes. − Starch, carboxymethyl cellulose, and lignosulphonates are the most used as depressant reagents. − Ether amines are by far the most utilized class of collector. , …”

Section: Introductionmentioning

confidence: 99%

Mineral and Technological Features of Magnetite–Hematite Ores and Their Influence on the Choice of Processing Technology

Николаева

Aleksandrova

Chanturiya³

et al. 2021

ACS Omega

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Analysis of the current technical solutions for the processing of iron ores showed that the high-grade ores are directly exposed to metallurgical processing; by comparison, low-grade ores, depending on the mineralogical and material composition, are directed to beneficiation including gravitational, magnetic, and flotation processes or their combination. Obtaining high-quality concentrates with high iron content and low content of impurities from low-grade iron ores requires the maximum possible liberation of valuable minerals and a high accuracy of separating features (difference in density, magnetic susceptibility, wettability, etc.). Mineralogical studies have established that the main iron-bearing mineral is hematite, which contains 69.02 to 70.35% of iron distributed in the ore. Magnetite and hydrogoethite account for 16.71–17.74 and 8.04–10.50% of the component, respectively; the proportion of iron distributed in gangue minerals and finely dispersed iron hydroxides is very insignificant. Iron is mainly present in the trivalent form—Fe 2 O 3 content ranges from 50.69 to 51.88%; bivalent iron is present in small quantities—the FeO content in the samples ranges from 3.53 to 4.16%. The content of magnetic iron is 11.40–12.67%. Based on the obtained results by the investigation of the features of magnetite–hematite ores from the Mikhailovskoye deposit, a technological scheme of magneto-flotation beneficiation was proposed, which allows producing iron concentrates with 69% of iron content and less than 2.7% silicon dioxide for the production of pellets with subsequent metallization.

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“…В настоящий момент на территории РФ осуществляется переход к цифровым технологиям, предполагающий как повсеместную автоматизацию технологических процессов, так и создание интеллектуальных систем-помощников на основании архивных данных по ведению технологического процесса [11,25,28]. На ряде производств реализуется хранение данных, полученных с самописцев в различном графическом виде в архивах, при этом некоторые лаборатории до недавнего времени использовали при проведении опытов бумажные самописцы [8].…”

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Automated digitization of radial charts

Vasilyeva

Бойков

Erokhina

et al. 2021

PMI

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Radial charts were commonly used in the industry to allow retrospective assessment of technological parameters. Today it is relevant to digitize the obtained data in order to simplify the automation of technological processes. Digitization of radial charts by means of standard methods is carried out with the help of human labor at significant time costs. The article proposes an automated method for digitizing radial charts using software, developed in the LabVIEW programming environment. The results of processing radial charts are displayed on the screen in numerical and graphical form, and can also be exported to a file (for example, to Notepad or MS Excel). The presented technique can be applied to images obtained on a color or black-and-white scanner, which minimizes geometric distortions, associated with the conversion of a paper document into electronic form, and ensures recognition quality of the clear plot line with an average relative error of up to 3 %. In case of ink fading or perspective photos of the diagram, the value of relative error can reach 8 %, as a result of which additional manual correction of the data will be required.

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Neural Network Modeling Methods in the Analysis of the Processing Plant’s Indicators

Cited by 12 publications

References 3 publications

Semi-Autogenous Wet Grinding Modeling with CFD-DEM

Semi-Autogenous Wet Grinding Modeling with CFD-DEM

Mineral and Technological Features of Magnetite–Hematite Ores and Their Influence on the Choice of Processing Technology

Automated digitization of radial charts

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