Three-Dimensional Mathematical Modeling of Dynamics Interfaces Between Aluminum, Electrolytes and Reverse Zone of Oxidized Metal Depending on the Potencial Distribution

Piskazhova, Tatiana V.; Савенкова, Н. П.; Anpilov, S. V.; Kalmykov, Alexey V.; Зайцев, Ф. С.; Anikeev, F. A.

doi:10.17516/1999-494x-2017-10-1-59-73

Cited by 2 publications

(2 citation statements)

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“…Understanding the physico-chemical processes in the apparatus and measuring most of the parameters will allow the process to be automated to a greater extent. The world task of mathematical modelling of aluminium production is the visualisation of all processes and, as the simplest way of information perception for human is visual perception, the mathematical model of Soderberg cell may partly simplify the work for human's in operating the unit [5,6]. An inherent property of a mathematical model is its adaptability and ability to evolve.…”

Section: Introductionmentioning

confidence: 99%

Developing a Comprehensive Mathematical Model for Aluminium Production in a Soderberg Electrolyser

Ilyushin,

Kapostey

2023

Energies

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The technological process of aluminium electrolysis is a complex scientific and technical task. This is due to a large number of internal, external and resultant factors. The aim of this work is to analyse these factors, assess them and their influence on the technological process of electrolysis and develop a comprehensive and mathematical model of aluminium production in the Soderberg electrolyser. The work analyses the technological process of primary aluminium production on the basis of the Bayer method and then on the basis of the Hall–Eru method. The existing methods and technologies for computer modelling of the technological process are analysed. The modern methods of analysis for thermal and electromagnetic fields in electrolysers are considered. On the basis of an in-depth analysis, a number of factors influencing the process of primary aluminium production are identified. Using the methods of system analysis to analyse the identified factors, a ranked list of factors according to the degree of influence is obtained. Using the Pareto diagram, we obtain a list of factors with maximum impact. A conceptual model of the technological process is derived. Based on the obtained conceptual model, the mathematical model of the technological process is derived. The conducted research may be useful to specialists in the field of metallurgy for the analysis of the technological processes of primary aluminium production.

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Section: Introductionmentioning

confidence: 99%

Developing a Comprehensive Mathematical Model for Aluminium Production in a Soderberg Electrolyser

Ilyushin,

Kapostey

2023

Energies

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“…There are studies [9,12] of the contribution of valence band holes as a necessary condition for silicon dissolution in HF base electrolytes and factors determining the transition from porosity formation to continuous etching of silicon specimens; an adapted model was suggested (for the А 3 В 5 compounds) [10,13] describing self-organizing cooperative nucleophilic substitution reactions between chemisorbed anions and coordination-saturated atoms of the surface crystal lattice layer initiated by the barrier jump field at the electrolyte/semiconductor phase boundary. Along with porosity formation physical models there are numerous studies dealing with mathematical and computer simulation of the process [7,8,[11][12][13][14][15][16]. However the problem of the porosity spatial distribution over specimen surface and the effect of the field on the distribution are studied but little though this aspect is quite important for the device applications of porous silicon structures.…”

Section: Introductionmentioning

confidence: 99%

Contact and contactless porous silicon parameter measurement techniques

Latukhina¹,

Kobeleva²,

Rogozhina³

et al. 2018

MoEM

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In this work we have used contact and contactless techniques to measure the electrical resistivity of single crystal silicon wafers with porous layers of variable thickness synthesized on the surface. The porous layers have been synthesized on the surfaces of single crystal wafers with well pronounced microroughness pattern, either textured or grinded. We have used the classic four-probe method with a linear probe arrangement as the contact measurement technique, and the resonance microwave method based on microwave absorption by free carriers as the contactless measurement technique. Electrical resistivity distribution over the specimen surface has been mapped based on the measurement results. We have demonstrated a general agreement between the electrical resistivity distribution patterns as measured using the contact and contactless measurement techniques. To analyze the electrical resistivity scatter over the specimen surface area we have simulated the field distribution in the electrolyte during porous layer formation in a non-planar anode cell. The regularities of the electrical resistivity spatial distribution in different types of specimens are accounted for by specific porosity formation mechanisms which in turn are controlled by the initial microroughness pattern and the field distribution pattern in the electrolyte for each specific case.

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Three-Dimensional Mathematical Modeling of Dynamics Interfaces Between Aluminum, Electrolytes and Reverse Zone of Oxidized Metal Depending on the Potencial Distribution

Cited by 2 publications

References 1 publication

Developing a Comprehensive Mathematical Model for Aluminium Production in a Soderberg Electrolyser

Developing a Comprehensive Mathematical Model for Aluminium Production in a Soderberg Electrolyser

Contact and contactless porous silicon parameter measurement techniques

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