Development of a Methodology for Controlling the Process of Heating Metal Blanks in a Methodical Furnace

Kukharova, Tatyana V.; Ilyukhina, Yana A.; Shestopalov, M. Yu.

doi:10.1109/elconrus54750.2022.9755574

Cited by 20 publications

(5 citation statements)

References 9 publications

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“…The products isolated due to methane explosions were transported significant distances by wind, so air pollution was added to all the consequences. As a result of coal combustion, the resulting substances are discharged into reservoirs that are placed on the surface, thus polluting the water of the Earth [51][52][53]. That is why early prediction and prevention of methane-air mixtures is important to reduce the impact of coal mines on the Earth's atmosphere.…”

Section: Methodsmentioning

confidence: 99%

Methane Emission Estimation Tools as a Basis for Sustainable Underground Mining of Gas-Bearing Coal Seams

Sidorenko,

Trushnikov,

Sidorenko

2024

Sustainability

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Underground coal mining of gas-bearing coal seams is accompanied by the emission of large amounts of methane, which increases with depth. Coal seam methane is not only a major cause of major accidents in coal mines, but is also a greenhouse gas that has a significant negative impact on the Earth’s atmosphere. Analysis of the efficiency of underground coal mining suggests that as the depth of mining increases, the productivity of a longwall decreases by a factor of 3–5 or more, while the specific volume of methane emitted increases manifold and the efficiency of methane management decreases. Effective management of coal seam methane can only be achieved by monitoring its content at key points in a system of workings. Monitoring of methane not only eliminates the risk of explosions, but also lets us assess the effectiveness of using methane management techniques and their parameters to improve efficiency and reduce the cost of methane management (including a methane drainage) for ensuring sustainable underground coal mining. The aim of this article is to develop a software and hardware complex for monitoring methane in a coal mine by creating a simulation model for monitoring methane. The Arduino Uno board and the methane sensor MQ-4 were used for this purpose. In this article, the causes of methane emissions in coal mines, gas control systems, the structure of the mine monitoring system, and the causes of risks and occurrence of accidents in coal mines are considered. As a result of the work, the mathematical model of the methane measurement sensor was developed; the Arduino Uno board developed a simulation system for methane monitoring; and the numerical results of the research are presented in the graphs.

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Section: Methodsmentioning

confidence: 99%

Methane Emission Estimation Tools as a Basis for Sustainable Underground Mining of Gas-Bearing Coal Seams

Sidorenko,

Trushnikov,

Sidorenko

2024

Sustainability

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“…Figure 3 shows the formation of the hydraulic radius of the well ("well") and depression funnel. Taking into account the formation of the hydraulic radius of the well and funnel, the mathematical model of hydrodynamic processes should be written in Cartesian and radial coordinates [55][56][57][58].…”

Section: Mathematical Models Of Aquifersmentioning

confidence: 99%

Research on Hydrolithospheric Processes Using the Results of Groundwater Inflow Testing

Asadulagi,

Pershin,

Tsapleva

2024

Water

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The article considers a mathematical model of the hydrolithospheric process taking into account the skin effect. A methodology for using the results of groundwater inflow testing to determine the parameters of approximating models that take into account skin effects is presented. In addition, the problems of modeling hydrodynamic processes taking into account random factors are considered. A statistical analysis of well monitoring data was carried out and an algorithm for studying processes was developed. Using the obtained approximating models, a procedure for solving the problem of selecting the optimal number of production wells has been developed. Based on the results of the groundwater inflow testing, the prospects for the development and use of new aquifers can be determined.

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“…This approach was first proposed by Pershin I.M. [20] and continued in the works of his students [22,23]. European scientists [24,25] also take into account spatial components when automating technological processes.…”

Section: The State Of Knowledge Of the Problemmentioning

confidence: 99%

The Development of the Soderberg Electrolyzer Electromagnetic Field’s State Monitoring System

Martirosyan

Ilyushin

2023

Preprint

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This study is devoted to improving the economic efficiency of the cell, due to the field of the generated electromagnetic field’s accurate diagnostics. To solve this problem, the authors had developed a hardware-software complex for electromagnetic field diagnostics. This complex includes a measurement device and a software package for data collection and analysis. On the laboratory prototype of the aluminum electrolysis complex, a study was carried out on the formation and structure of the electromagnetic field. A number of experiments have been carried out showing the degree of formation of the electromagnetic field by the anode, the relationship of electromagnetic fields in the inter-anode space has been shown. Based on the results of the studies, conclusions were drawn about the possibility of diagnosing the current state of the anode, determining the direction of rotation of aluminum in the electrolytic cell and estimating the life of the anode and its burnout time.

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Development of a Methodology for Controlling the Process of Heating Metal Blanks in a Methodical Furnace

Cited by 20 publications

References 9 publications

Methane Emission Estimation Tools as a Basis for Sustainable Underground Mining of Gas-Bearing Coal Seams

Methane Emission Estimation Tools as a Basis for Sustainable Underground Mining of Gas-Bearing Coal Seams

Research on Hydrolithospheric Processes Using the Results of Groundwater Inflow Testing

The Development of the Soderberg Electrolyzer Electromagnetic Field’s State Monitoring System

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