E R Fedorova

ORCID: 0000-0003-0459-9754
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About
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Research Areas
  • Bauxite Residue and Utilization
  • Mineral Processing and Grinding
  • Industrial Engineering and Technologies
  • Coagulation and Flocculation Studies
  • Mining and Gasification Technologies
  • Engineering Diagnostics and Reliability
  • Diverse Industrial Engineering Technologies
  • Fault Detection and Control Systems
  • Iron and Steelmaking Processes
  • Metallurgical Processes and Thermodynamics
  • Innovations in Concrete and Construction Materials
  • Environmental and Sediment Control
  • Minerals Flotation and Separation Techniques
  • Geotechnical and Geomechanical Engineering
  • Coal Combustion and Slurry Processing

Saint Petersburg Mining University
2018-2025

Big data analysis is becoming a daily task for companies all over the world as well Russian companies. With advances in technology and reduced storage costs, today can collect store large amounts of heterogeneous data. The important step extracting knowledge value from such challenge that will ultimately be faced by seeking to maintain their competitiveness place market. An approach study metallurgical processes using array operational control considered. Using example steel rolling...

10.3390/sym13050859 article EN Symmetry 2021-05-12

The article examines the parameters of axial motion bulk material in rotary kilns, including bed height, velocity, and mean residence time. review includes summary tables experiments from scientific literature, detailing conditions ranges operating parameter variations. Mathematical models literature are presented for each discussed. materials cover studies 1927 to 2025, analysis numerous works that were not published international sources. Based on review, necessity studying impact coating...

10.3390/eng6060106 article EN cc-by Eng—Advances in Engineering 2025-05-22

The approach to the study of metallurgical processes with help analysis trends dependencies main parameters on technological process is considered. adopted technique for experimental data processing makes it possible interpret results obtained their further practical application. way definition probabilistic dependences between variables research object, checking efficiency ACS control using basic material flows, and quality a target product presented. influence individual factors...

10.1088/1742-6596/1118/1/012046 article EN Journal of Physics Conference Series 2018-12-01

The relevance of the research is due to need stabilize composition melting products copper-nickel sulfide raw materials in Vanyukov furnace. goal this identify most suitable methods for aggregation real time data development a mathematical model control technological process Statistical analyzing historical object and correlation analysis parameters are described. Factors that exert greatest influence on main output parameter (copper content matte) ensure physical-chemical transformations...

10.1088/1742-6596/1015/3/032067 article EN Journal of Physics Conference Series 2018-05-01

All production processes are controlled by control systems, in which several information flows generated. However, operators only use a small percent of this as the processing capacity human mind is limited. The paper demonstrates that process to great extent influenced factor. describes data technique enables personnel make better their resources for operations control. An approach considered studying metallurgical through analysis indirect indicators – i.e. spectral density and...

10.17580/tsm.2020.10.10 article EN Tsvetnye Metally 2020-10-30

The paper evaluates the behavior of a red-mud solid fraction in thickener feeder cup, aiming to identify main characteristics particle distribution flocculation zone and determine dependencies affecting further process taking place particle-free sedimentation thickener-thickening unit. This work used mathematical numerical modeling study influence such parameters as flow rate feed pulp thickener, flocculant, density at inlet unit, viscosity temperature on particle-size from under cup....

10.3390/sym14112314 article EN Symmetry 2022-11-04

The article describes the principle of a generalized mathematical model red mud's thickener construction. muds' alumina production consists sub-models flocculation zones containing solid fraction feed slurry, free-fall and cramped sedimentation or effective zones, bleaching zones. allows predicting content in condensed product upper discharge. sub-model phase aggregation one to count up average size floccules, which is created during process feedwell. zone concentration profile taking into...

10.1088/1757-899x/327/2/022031 article EN IOP Conference Series Materials Science and Engineering 2018-03-01

The process of thickening and washing red mud is a gooseneck alumina production. existing automated systems the control involve stabilizing parameters primary technological circuits thickener. actual direction scientific research creation improvement models by model. But known do not fully consider presence perturbing effects, in particular particle size distribution feed process, floccules after aggregation barrel. article devoted to basic concepts terms used writing population balance...

10.1088/1742-6596/1015/3/032035 article EN Journal of Physics Conference Series 2018-05-01

Abstract Distributing the red-sludge flow between paralleled thickeners is a relevant problem for controlling process of thickening and washing alumina sludge. Sludge sticks to thickener walls rakes in operation, which reduces effective volume machine puts greater strain on rakes; raising necessary avoid breaking stirrer, but this compacting rate thickened product. Redistributing feed pulp over course their gradual uneven contamination might solve product being under-compacted...

10.1088/1742-6596/1333/4/042007 article EN Journal of Physics Conference Series 2019-10-01

As a controllable facility, thickener features multiple interrelated and correlated input output parameters. Thickening is two-phase process comprising sedimentation consolidation. During sedimentation, particles settle in liquid with the pressure, friction, gravity-forcing collision. At certain concentration, begin to collide transform suspension into sediment of particulate matter. Now inter-particle forces are transmitted directly particle-to-particle. If settling reach tank bottom lay...

10.1088/1742-6596/1333/3/032018 article EN Journal of Physics Conference Series 2019-10-01

This study presents a mathematical description of the solid fraction aggregation process in presence flocculant and its result. The basis is population balance equation. model realized Python language. Verification was carried out using red mud from investigated enterprise; Flomin AL P 99 VHM used as flocculant. mean square deviation for parameter “mean aggregate diameter” equal to 19.88 μm. time required calculation about 3 min. spent on modeling depends number channels. In this study, 40...

10.3390/sym16010114 article EN Symmetry 2024-01-18

Abstract The process of red mud thickening and cleaning is a bottleneck the alumina production. existing automated systems control are intended for stabilization parameters primary loops thickeners. relevant area scientific research making up upgrade models under model. paper presents model thickener obtained on basis archive manufacturing data in software environment MATLAB with help System Identification Toolbox. measured were feed pulp consumption rate thickener, flocculant flow rate,...

10.1088/1742-6596/1333/3/032019 article EN Journal of Physics Conference Series 2019-10-01

В попытках описать металлургические процессы ученые и исследователи сталкиваются с рядом проблем. данной статье показаны результаты литературного обзора патентного поиска по основным проблемам при моделировании металлургических процессов возможным способам их решения, актуальным направлениям точки зрения дальнейших исследований тому какую роль во всем этом играет автоматизация. Данная работа носит обзорный характер является частью более крупной работы, посвященной созданию...

10.25791/asu.12.2023.1474 article RU Промышленные АСУ и контроллеры. 2023-12-28
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