A Mathematical Model for Estimating Technogenic Losses From the Operation of Mining Enterprises

The following will describe the process of how you can use mathematical modeling to organize the production of metal leaching. Mathematical models and results of computational experiments are presented. The results of studying the thickness of films of sulfuric acid-chloride solutions containing the addition of surfactants surface-active substance (SAS), which are formed when they pour out onto a frosted glass surface as a model of the surface of a piece of ore, are presented. A mathematical model how the film thickness changes depending on the feed rate of the solution and its composition, as well as on the angle of inclination of the glass surface has been determined. Underground leaching of metals from ores stimulates the search for ways and means of intensifying the process. Due to the addition of a surfactant, the leaching process is accelerated, since the thickness of the films of leaching solutions flowing over the surface of ore minerals decreases. This direction is relevant in modern science, and research in this direction the growth of indicators allows the national economy to improve and helps to improve and increase knowledge for further development of the metallurgical industry in Russia The article also discusses the results of studies on the electrochemical leaching of metals from polymetallic ore by sulfuric acid-chloride solutions with the addition of a surfactant with asymmetric current pulses. Mathematical models of the dependence of leaching indicators on the density and duration of the flow of direct and reverse polarity are presented. For ease of perception and better visualization, a table was compiled, which reflects the results of comparative analysis to assess the further possibility of processing secondary raw materials.

Section: Methodssupporting

confidence: 82%

Section: Methodsmentioning

confidence: 99%

Mathematical modeling in the organization of the production process of leaching metals

Kondratyev

Sokolova

Arhipov

2022

“…The following are taken as comparative values: the actual consumption of electricity and the predicted one obtained by the model (2). Comparison of these values showed that the relative estimate of the forecast is 1.34%, which confirms the adequacy and high accuracy of the obtained forecasting model in various industrial-natural systems [11][12][13][14][15][16][17].…”

Section: Optimization Of Technocenosismentioning

confidence: 82%

Mathematical modeling of power consumption based on rank analysis

Klyuev

Guzueva

Bulatov

2022

In the article, based on the application of the rank analysis of the technocenosis, mathematical modeling of electricity consumption by consumers for the production of hard alloys is carried out. Two methodological levels of research in the field of energy-saving and power consumption are presented. At the same time, it was found that rank analysis allows you to streamline information, effectively predict power consumption by individual objects to identify dynamics, and visually represent objects with abnormal power consumption. The analysis of the results obtained confirms the efficiency of using the H-distribution for obtaining mathematical models of power consumption of Noah and Pointer castes in the production of hard alloys. For the first time, the regularity of changes in electricity consumption by technological equipment was established, which is described by an adequate mathematical model in the form of a damped harmonic function. The resulting model is recommended for use in an automated dispatching control system for electricity consumption for the purpose of short-term forecasting of electricity consumption.

“…One of the main conditions for the implementation of the first strategy is the availability of a sufficient level of technological, scientific, and technical potentials [4][5][6][7][8][9][10][11][12][13][14]. At the same time, the decline in the quality, consumer, and functional characteristics of industrial goods complicate the continuous updating of technologies due to the growth strategy and form the need to focus on the strategy of innovation-distribution differentiation based on the stratification of industries in the industrial sector, taking into account the level of technological potential and the level of capacity utilization [15], which The increased technological potential ensures the production of competitive industrial products in the process of its use [16,17].…”

Section: The Power Consumption Analysismentioning

confidence: 99%

Methodological support for increasing the technological potential in industry according to technological potential level and cyclical development

Sokolov

Samonova

Umarkhadzhiev

2022

The article discusses the issues of increasing the level of technological potential on the example of the Russian economy in the form of targeted state intervention during the implementation of import substitution. In the paper, the increase in technological capabilities is investigated taking into account the life cycle of the industry. The practical application of methods for assessing the level and vector of technological potential, as well as a dynamic model of organizational decision-making, is displayed.