Software System for Modeling Temperature Distribution During the Electron Beam Welding

Rogova, Daria; Kurashkin, Sergei; Tynchenko, V. S.; Shutkina, Elizaveta; Myrugin, Aleksander; Бочаров, А. Н.

doi:10.1109/dts55284.2022.9809892

2022 IEEE International Conference on Design &Amp; Test of Integrated Micro &Amp; Nano-Systems (DTS) 2022

DOI: 10.1109/dts55284.2022.9809892

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Software System for Modeling Temperature Distribution During the Electron Beam Welding

Daria Rogova

Sergei Kurashkin

V. S. Tynchenko

et al.

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Cited by 5 publications

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“…Other results from the heating of the quartzite are due to the imperfection of the physical and mechanical methods of research at the time. The X-ray crystallography method, introduced in the 1960s, revealed that during heating, cristobalite appears first and tridymite follows [39][40][41][42][43][44][45][46].…”

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confidence: 99%

Influence of Temperature Regimes of Synthetic Iron Smelting on Casting Production Efficiency

Trunova

Кукарцев

Tynchenko

et al. 2023

Metals

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The purpose of the foundry is to provide the consumer with blanks for general machine-building (special) purposes which are as close as possible to the size of the future part in full compliance with the requirements. The competitiveness of these products is primarily dependent on the use of efficient and reliable smelting equipment which meets the necessary cost. The replacement of high-value ironworks and ironworks iron with steel scrap using induction melting furnaces (ICFs) reduces the cost of producing synthetic cast iron. However, this results in temperatures greater than 1500 °C, reduced lining stability and increased downtime of the smelter. As a result of the research carried out, a technology for the use of quartzite is proposed. Thereby, the purpose of this work is to establish temperature regimes for the smelting of synthetic pig iron, allowing the use in metal filling up to 70–90% of steel scrap; this leads to a reduction in the cost of purchasing bulk materials (depending on the brand of cast iron) up to 50% and, thus, increases the efficiency of synthetic cast iron smelting and castings production in general. After removal of the original moisture and the subsequent sintering of the manufactured lining, it provides the possibility of melting using the melting temperatures 1550–1600 °C. It increases the efficiency of the operation of the melting furnaces and eliminates the consumption of the ironworks and the melting of the cast iron in the blast furnace, as well as the cost of the lost alloy. As a result, metallurgical production will be able to reduce the volume of production and supply of cast iron for ironworks, which will improve their environmental situation during the production and processing of necessary raw materials.

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mentioning

confidence: 99%

Influence of Temperature Regimes of Synthetic Iron Smelting on Casting Production Efficiency

Trunova

Кукарцев

Tynchenko

et al. 2023

Metals

Self Cite

View full text Add to dashboard Cite

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Development of an automated information system for a logging company

Stepanova,

Kukartsev,

Kravtsov

et al. 2024

BIO Web Conf.

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The development of an Automated Information System for Electronic Document Management and Communication (AIS EDiSZ) is aimed at optimizing the logging processes of enterprises. As part of this development, functionality is implemented that allows you to effectively manage documents, improve employee navigation and reduce equipment downtime. This functionality means various databases, an electronic map and various electronic charts. In addition, the creation of such a system lays the foundation for the future digitalization of the industry and opens up new opportunities for innovation. The result of the development stage will be a ready-made AIS ED&SZ project, which will be aimed at solving current problems of enterprises and increasing their efficiency.

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Predictive modelling of post-monsoon groundwater quality in Telangana using machine learning techniques

Olentsova,

Kukartsev,

Orlov

et al. 2024

BIO Web Conf.

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Groundwater quality is vital for public health, agriculture, and industry, especially in regions like Telangana, India. This study analyses and predicts post-monsoon 2020 groundwater quality using data from the Telangana State Groundwater Department. We employed Linear Regression and Random Forest Regression to predict key parameters: pH and Total Dissolved Solids (TDS). Exploratory data analysis revealed significant correlations, such as between TDS and Electrical Conductivity (E.C). The Linear Regression model for TDS performed exceptionally well, with an R2 of 0.985, while the Random Forest model also showed strong results. However, both models exhibited moderate accuracy in predicting pH. The study demonstrates the effectiveness of machine learning models in predicting groundwater quality, offering valuable tools for groundwater management. These findings can aid policymakers and environmental managers in making informed decisions to safeguard water resources.

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Software System for Modeling Temperature Distribution During the Electron Beam Welding

Cited by 5 publications

References 10 publications

Influence of Temperature Regimes of Synthetic Iron Smelting on Casting Production Efficiency

Influence of Temperature Regimes of Synthetic Iron Smelting on Casting Production Efficiency

Development of an automated information system for a logging company

Predictive modelling of post-monsoon groundwater quality in Telangana using machine learning techniques

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