Automatic burden balance monitoring and control in the production of metallurgical silicon

Bazhin, V. Yu.; Masko, O. N.; Martynov, S. A.

doi:10.17580/tsm.2023.04.07

Cited by 5 publications

(2 citation statements)

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“…It should be noted that the process of aggregation occurring in the feeding cup is one of the sub-processes in the thickener or washer of the radial type, and therefore, the model describing the process of flocculation of red mud slurry in the cup is part of the overall model of the control object. Also, this model can be used as a predictive model using advanced process control technology [42,43].…”

Section: Discussionmentioning

confidence: 99%

Modeling of Particle Size Distribution in the Presence of Flocculant

Fedorova,

Pupysheva,

Morgunov

2024

Symmetry

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This study presents a mathematical description of the solid fraction aggregation process in the presence of a flocculant and its result. The basis is a population balance equation. The model is realized in Python language. Verification was carried out using red mud from the investigated enterprise; Flomin AL P 99 VHM was used as a flocculant. The mean square deviation for the parameter “mean aggregate diameter” is equal to 19.88 μm. The time required for the model calculation is about 3 min. The time spent on modeling depends on the number of calculation channels. In this study, 40 channels (20 with PSD source data, and 20 with empty values required for the calculation) were used for the calculation. The time spent on the model calculation is much shorter than the inertia via each of the communication channels for the studied symmetric radial type thickener. A user interface is developed, where the input parameters are the initial pulp particle size distribution, viscosity and density of pulp in the thickener, particle surface area, concentration and flow rate of flocculant, concentration of solid particles, inner diameter and height of the feed well, and simulation time. The result of the simulation is particle size distribution in the feed well of the washer and the mean flocculus diameter.

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Section: Discussionmentioning

confidence: 99%

Modeling of Particle Size Distribution in the Presence of Flocculant

Fedorova,

Pupysheva,

Morgunov

2024

Symmetry

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“…Table 1. Monthly measurement cycles (temperature, humidity and pressure) The standard deviation of the refractive coefficient 𝜎 𝑘 was calculated according to [7], [29].…”

Section: Instrumentationmentioning

confidence: 99%

Determination of the local refraction coefficient in Cuban lateritic mineral deposits

Ojeda Pardo,

Belette Fuentes,

Quiroz Cabascango

et al. 2023

J. Phys.: Conf. Ser.

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Much work has been done related to the characteristics of terrestrial refraction. However, very few have referred to the fluctuations of the refractive coefficient in the lower atmosphere in Cuban lateritic deposits. The objective of this research is to determine a local refraction coefficient in different climatic conditions and time of day, to increase the precision of the mineral volume calculation and to know its behavior and to analyze the influence of local refraction coefficient variations on the trigonometric leveling. The method of reciprocal simultaneous measurements of the vertical angle was applied to minimize the influence of the refractive coefficient and assess the errors committed. As results, a refraction coefficient of 0,17 was obtained, different from the 0,14 that is currently used, and that the Gaussian refraction coefficient +0,13 is not adequate to describe the refraction effects in the lower atmosphere. In conclusion, these results can be useful to better evaluate the role of refraction in topographic surveys at 1,5 m from the visual ray of the ground, in lateritic deposits on slopes greater than 20 %. The experiment on refraction showed a range of variation of KL between 0,134-0,179 near the ground on sunny days. This equates to vertical temperature gradients are 0,064-0,144 K/m during the day and 0,054 K/m after sunset.

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Solving Problems of Digital Method for Optimization of Groundwater Monitoring in Transboundary Areas

Donich,

Korablev

2024

2024 XXVII International Conference on Soft Computing and Measurements (SCM)

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Automatic burden balance monitoring and control in the production of metallurgical silicon

Cited by 5 publications

References 0 publications

Modeling of Particle Size Distribution in the Presence of Flocculant

Modeling of Particle Size Distribution in the Presence of Flocculant

Determination of the local refraction coefficient in Cuban lateritic mineral deposits

Solving Problems of Digital Method for Optimization of Groundwater Monitoring in Transboundary Areas

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