Сибирский федеральный университет

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: 1st IEEE IAS Global Conference on Emerging Technologies, GlobConET 2022

Год издания: 2022

Идентификатор DOI: 10.1109/GlobConET53749.2022.9872354

Ключевые слова: control automation, induction soldering, mathematical modeling, optimization parameters process, technological parameters, thermal processes

Аннотация: In the aerospace industry, induction brazing in various environments is widely used, for example, low-temperature brazing, brazing in protective environments, but the classical method of connecting waveguide paths (pipe-flange-pipe) is not inferior to them. However, induction heating is a very complex research process, which continues to this day. In this work, the authors have proposed a mathematical apparatus based on thermal processes during verification. A stationary continuously operating source of heat is considered, considering the equalization of temperatures, since the rate of heating of the solder and flux at the junction of the pipeline and the flange has a huge influence on the formation of the penetration channel. Also, the authors propose the use of regression analysis to restore the values of technological parameters. Thus, the approach used will allow considering the change in thermophysical parameters in the process of induction heating, which will increase the accuracy of the results obtained. The Russian development SimInTech is used as a modeling tool. The application of the approach proposed in the article can significantly reduce labor and material costs for the development of the technological process of induction soldering of waveguide paths both when correcting existing processes and when introducing new standard sizes and materials of products into production. © 2022 IEEE.

Журнал: 2022 IEEE IAS Global Conference on Emerging Technologies, GlobConET 2022

Номера страниц: 40-44

Издатель: Institute of Electrical and Electronics Engineers Inc.

• Kurashkin S. (Information Control Systems Department, Reshetnev Siberian State University of Science and Technology, Siberian Federal University, Laboratory of Biofuel Compositions, Krasnoyarsk, Russian Federation, Bauman Moscow State Technical University, Digital Material Science: New Materials and Technologie, Krasnoyarsk, Russian Federation)
• Tynchenko V. (Information Control Systems Department, Reshetnev Siberian State University of Science and Technology, Bauman Moscow State Technical University, Digital Material Science: New Materials and Technologie, Krasnoyarsk, Russian Federation, Siberian Federal University, Department of Technological Machines and Equipment for Oil and Gas Complex, Krasnoyarsk, Russian Federation)
• Myrugin A. (Information Control Systems Department, Reshetnev Siberian State University of Science and Technology)
• Bocharov A. (Information Control Systems Department, Reshetnev Siberian State University of Science and Technology)
• Seregin Y. (Information Control Systems Department, Reshetnev Siberian State University of Science and Technology)
• Tynchenko Y. (Information Control Systems Department, Reshetnev Siberian State University of Science and Technology, Siberian Federal University, Laboratory of Biofuel Compositions, Krasnoyarsk, Russian Federation)

• Scopus