Multifunctional crust breaker for automatic alumina feeding system of aluminum reduction cell

Shestakov, A. K.; Sadykov, R.M.; Petrov, P. A.

doi:10.1051/e3sconf/202126609002

Cited by 5 publications

(2 citation statements)

References 10 publications

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“…The main parameter of the dispersion model is the value of the Bodenstein number (Bo). The Bodenstein number, as well as the average particle residence time (𝜏̅ ) is usually determined based on the calculation of the probability characteristics of the distribution curve or other methods [45][46][47][48]. The Bodenstein number (Bo) and the Peclet number (Pe) are sometimes used interchangeably in this context, although the numbers have a slightly different meaning [44].…”

Section: Dispersion Modelmentioning

confidence: 99%

An Interval-Simplex Approach to Determine Technological Parameters from Experimental Data

Белоглазов

Krylov

2022

Mathematics

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Statistical equations are widely used to describe the laws of various chemical technological processes. The values of constants and parameters included in these equations are determined by various methods. Methods that can determine the values of equation parameters using a limited amount of experimental data are of particular practical interest. In this manuscript, we propose a method to obtain simplex-interval equations. The proposed approach can be effectively used to control the values of technological process parameters. In this paper, we consider examples of chemical kinetics equation transformations and heterogeneous processes of solid particle dissolution. In addition, we describes mathematical model transformations, including equations for functions of the residence time distribution (RTD) of apparatus particles, the distribution of particles by size, etc. Finally, we apply the proposed approach to an example involving modeling of the calcination of coke in a tubular rotary kiln.

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Section: Dispersion Modelmentioning

confidence: 99%

An Interval-Simplex Approach to Determine Technological Parameters from Experimental Data

Белоглазов

Krylov

2022

Mathematics

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“…In addition, the inoculant favors the appearance of additional nucleation centers, which allows increasing the nucleation speed and obtaining lower grain sizes (improving mechanical properties). In the present investigation, the inoculant (ferrosilicon) was introduced into the pan before pouring, and the nodulizing alloy was introduced into the reaction chamber [15].…”

Section: Nodule Maximum Diametermentioning

confidence: 99%

Metallographic properties evaluation of the specimens obtained by the vibratory method (cast iron ISO 400-12)

Pardo

Figueredo

Fuentes

et al. 2022

J. Phys.: Conf. Ser.

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The objective of this research is to evaluate the metallographic properties to obtain cast iron with nodular spherical graphite ISO 400-12 by “In mold” modification using the vibratory method. To carry out the experiments, a model was prepared to reproduce the specimens used, according to the ASTM A0536-84R04 standard for the certification of the quality of cast iron with spherical nodular graphite. The pouring temperature levels were adapted to the wall thickness of the specimens. Vibration frequency (65 Hz, 70 Hz, 75 Hz), pouring temperature (1450°C and 1425°C) and mass of nodulizing alloy FeSiMg (NODULAN II) (189.98 g; 170.99 g; 151.99 g), calculated by the traditional method, were set as independent variables. The applied vibratory method caused changes in the morphology of the metal, as high spheroidization was obtained for all levels of modified alloy mass and smaller nodules (from 40 μm to 60 μm in diameter) were achieved. The tensile strength and relative elongation of the specimens obtained by the vibratory method were similar to the international standards for this type of casting and higher than the castings with nodular spherical graphite obtained under static conditions. Finally, the standard specimens (static method) and the specimens obtained by the vibratory method were obtained, and the metallographic and mechanical properties tests established by the international standards were carried out.

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Optimization of the Control System for Electrolytic Copper Refining with Digital Twin During Dendritic Precipitation

Nguyen

Bazhin

2023

Metallurgist

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Multifunctional crust breaker for automatic alumina feeding system of aluminum reduction cell

Cited by 5 publications

References 10 publications

An Interval-Simplex Approach to Determine Technological Parameters from Experimental Data

An Interval-Simplex Approach to Determine Technological Parameters from Experimental Data

Metallographic properties evaluation of the specimens obtained by the vibratory method (cast iron ISO 400-12)

Optimization of the Control System for Electrolytic Copper Refining with Digital Twin During Dendritic Precipitation

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