AUTOMATION OF MATHEMATICAL MODELING OF THE INDUCTION SOLDERING TECHNOLOGICAL PROCESS

Abstract

The paper has devoted to the research and automation of mathematical modeling of the process of heating the elements of the thin-walled aluminum waveguide path when working out the induction soldering technological procedure. The paper has reviewed the method of mathematical modeling of the induction soldering technological process. In order to develop the technological process of induction soldering, an instant source of a flat rod heating is used as a mathematical model of waveguide path heating. As part of this work, a functional automated subsystem of mathematical modeling of the induction soldering technological process of thin-walled metal waveguides of cosmic aircraft was designed and implemented. The functionality of the application allows you to make an automated construction of the mathematical model of the induction soldering technological process with specified parameters, performing calculations of the temperature values of the part-components participating in the process of the induction soldering, depending on the specified sizes, structural-physical and thermodynamic characteristics, the power of the inductor and the position of the flange/couplings relative to the inductor. The obtained software product is an optimal solution for integration with the system that produces the process of controlling the induction soldering of the waveguide paths of spacecraft as a generator of mathematical models of the induction soldering process for machine learning. Comparative researches of the induction soldering models have carried out, which builds the mathematical module of the program for their compliance with the real process in permissible limits. Experiments have conducted on a software system for controlling the induction soldering process of the waveguide paths, including an induction heating generator, an inductor, a manipulator, an IPPC-9171G-07BTO industrial computer with a control console. An experimental verification of the correctness of the selected mathematical model of the induction soldering technological process and the correctness of its implementation in the developed software application has performed. The MSE values of the results of modeling and real technological processes of induction soldering have calculated. As a result of attentive and model experiments, it has established that the application of the induction heating of the elements of thin-walled aluminum waveguide paths of cosmic aircraft with a sufficiently high accuracy simulates this technological process.

Authors

References

1. Tynchenko V.S., Murygin A.V., Emilova O.A., Bocharov A.N., Laptenok V.D. The automated
system for technological process of spacecraft's waveguide paths soldering, IOP Conference
Series: Materials Science and Engineering, 2016, Vol. 155, No. 1, pp. 012007.
2. Tynchenko V.S., Murygin A V., Petrenko V.E., Seregin Y.N., Emilova O.A. A control algorithm
for waveguide path induction soldering with product positioning, IOP Conference Series: Materials
Science and Engineering, 2017, Vol. 255, No. 1, pp. 012018.
3. Murygin A.V., Tynchenko V.S., Laptenok V.D., Emilova O.A., Bocharov A.N. Complex of automated
equipment and technologies for waveguides soldering using induction heating, IOP
Conference Series: Materials Science and Engineering, 2017, Vol. 173, No. 1, pp. 012023.
4. Milov A.V., Tynchenko V.S., Murygin A.V. Neural Network Modeling to Control Process of
Induction Soldering, 2019 International Conference on Industrial Engineering, Applications
and Manufacturing (ICIEAM), 2019, pp. 1-5.
5. Milov A.V., Tynchenko V.S., Petrenko V.E. Algorithmic and software to identify errors in
measuring equipment during the formation of permanent joints, 2018 International Multi-
Conference on Industrial Engineering and Modern Technologies (FarEastCon), 2018, pp. 1-5.
6. Milov A.V. et al. Use of artificial neural networks to correct non-standard errors of measuring
instruments when creating integral joints, Journal of Physics: Conference Series, 2018,
Vol. 1118, No. 1, pp. 012037.
7. Bukhtoyarov V.V. et al. Intelligently informed control over the process variables of oil and
gas equipment maintenance, International Review of Automatic Control, 2019, Vol. 12,
No. 2, pp. 59-66.
8. Bocharova O.A. et al. Induction heating simulation of the waveguide assembly elements,
Journal of Physics: Conference Series. IOP Publishing, 2019, Vol. 1353, No. 1, pp. 012040.
9. Murygin A.V. et al. Modeling of thermal processes in waveguide tracts induction soldering,
IOP Conference Series: Materials science and engineering. IOP Publishing, 2017, Vol. 173,
No. 1, pp. 012026.
10. Milov A., Tynchenko V., Petrenko V. Intellectual Control of Induction Soldering Process using
Neuro-fuzzy Controller, 2019 International Russian Automation Conference (RusAutoCon),
2019, pp. 1-6.
11. Zhu T. et al. The study of the effect of magnetic flux concentrator to the induction heating
system using coupled electromagnetic-thermal simulation model, 2013 International Conference
on Mechanical and Automation Engineering, 2013, pp. 123-127.
12. Pánek D. et al. Reduced-order model based temperature control of induction brazing process,
2019 Electric Power Quality and Supply Reliability Conference (PQ) & 2019 Symposium on
Electrical Engineering and Mechatronics (SEEM), 2019, pp. 1-4.
13. Eftychiou M.A., Bergman T.L., Masada G.Y. A detailed thermal model of the infrared reflow
soldering process, 1993.
14. Shcherba A.A. i dr. Komp'yuternoe modelirovanie elektroteplovykh protsessov i
termomekhanicheskikh napryazheniy pri induktsionnom nagreve dvizhushchikhsya
mednykh slitkov [Computer modeling of electro-heat processes and thermomechanical
stresses during induction heating of moving copper ingots], Tekhnіchna elektrodinamіka
[Technical Electrodynamics], 2013.
15. Klochkova N.N. i dr. Modelirovanie induktsionnoy ustanovki spetsial'nogo naznacheniya sredstvami
programmnogo paketa Flux [Modeling of the induction installation of special purpose by means of
the FLUX software package], Vestnik Saratovskogo gosudarstvennogo tekhnicheskogo universiteta
[Bulletin of the Saratov State Technical University], 2015, Vol. 2, No. 1 (79).
16. Vdovin K.N., Egorova L.G., Gukov M.V. Programmnoe obespechenie dlya matematicheskogo
modelirovaniya induktsionnogo nagreva i zakalki tsilindricheskikh detaley [Software for
mathematical modeling of induction heating and hardening cylindrical parts], Informatsionnye
tekhnologii v proektirovanii i proizvodstve [Information technologies in design and production],
2012, No. 2, pp. 40-45.
17. Dolgikh I.Yu., Korolev A.N., Zakharov V.M. Matematicheskoe modelirovanie
elektromagnitnykh i teplovykh protsessov pri induktsionnom nagreve [Mathematical modeling
of electromagnetic and thermal processes in induction heating], Elektrotekhnika. Energetika.
Mashinostroenie [Electrical engineering. Energy. Mechanical engineering], 2014, pp. 85-88.
18. Sharapova O.Yu. CHislennoe modelirovanie protsessa periodicheskogo induktsionnogo nagreva na
baze konechno-elementnogo programmnogo paketa FLUX [Numerical modeling of a periodic induction
heating process based on the finite elemental software package FlUX], Vestnik Samarskogo
gosudarstvennogo tekhnicheskogo universiteta. Seriya: Tekhnicheskie nauki [Bulletin of the Samara
State Technical University. Series: Technical Sciences], 2010, No. 7.
19. Chernykh I.V. Paket ELCUT: modelirovanie ustroystv induktsionnogo nagreva [ELCUT package:
modeling of induction heating devices], Nauchno-prakticheskiy zhurnal Exponenta Pro.
Matematika v prilozheniyakh [Scientific and practical magazine Exponenta Pro. Mathematics
in applications], 2003, No. 2.
20. Zeller U. et al. Multiphysics simulation of induction soldering process, 2018 IEEE 7th World
Conference on Photovoltaic Energy Conversion (WCPEC)(A Joint Conference of 45th IEEE
PVSC, 28th PVSEC & 34th EU PVSEC), 2018, pp. 654-659.
21. Papargyri L. et al. Modelling and experimental investigations of microcracks in crystalline
silicon photovoltaics: A review, Renewable Energy, 2020, Vol. 145, pp. 2387-2408.

Скачивания

Published:

2022-05-26

Issue:

Section:

SECTION I. CONTROL AND SIMULATION SYSTEMS

Keywords:

Волноводный тракт, индукционная пайка, моделирование процесса, разработка приложения, математическая модель, автоматизация процесса, верификация модели, автоматизированное управление