Analysis of Electromagnetic and Thermal Processes of an Induction Motor Using 3D Modeling

The results of research and analysis of electromagnetic and thermal processes taking place in an induction motor are presented. Information is presented on the creation of a design 

model of an auxiliary induction motor with various parameters according to the Goldberg method and the procedure for selecting the option with the best electromechanical characteristics is described. The main factors influencing the calculation methods, taking into account the aging rate, temperature and distribution of the temperature field, are determined, as well as the service life of the insulation. The research has made it possible to develop and apply 3D models of electromagnetic processes using special programs, interactively without describing complex vector equations of field theory, while using the ongoing thermal processes. The cumulative effect of temperature and humidity factors on the insulation service life under various influences of aggressive media has been determined as well. A comparison of the characteristics of the real induction motor (IM), the model IM and the one calculated according to the standard methodology made it possible to calculate the error taking into account the correction factor relative to the data used in the calculation methods of assessment, and to use this value in new calculation and modeling methods. The proposed 3D models of electromagnetic and thermal processes taking place in asynchronous motors make it possible to evaluate the efficiency of an electric machine; improve the design taking into account the criteria of electrical steel throughput and winding temperature; they also create prerequisites for more accurate forecasts when assessing the insulation residual life based on temperature fields.

1. Bul’ O. B. (2006) Methods of Electrical Apparatus Systems Computaion. The ANSYS Software. Moscow, Akademiya Publ. 288 (in Russian).

2. Bezzubtseva M. M., Volkov V. S., Pribytkov P. S. (2009) Compoutation of an Electromagnetic Mechanical Activator Using the ANSYS Software Package. Sankt-Peterburgskii Gosudarstvennyi Agrarnyi Universitet. Izvestiya, (15), 150–154 (in Russian).

3. Mansurova A. R. (2018) Application of the ANSYS Software Package in Computer Modeling. Molodoi Uchenyi [Young Scientist], (39), 31–33 (in Russian).

4. Okonechnikov A. S., Serdyuk D. O., Fedotenkov G. V. (2021) Strength and Dynamic Calculations in the ANSYS Workbench Software Package. Moscow, MAI Publ. 104 (in Russian).

5. Goldberg O. D., Gurin Ya. S., Sviridenko I. S. (1984) Designing Electric Machines. Moscow, Vysshaya shkola Publ. 431 (in Russian).

6. Galushko V. N., Evdasev I. S., Patskevich V. A. (2016) Calculation of Asynchronous Motors. Gomel, Belarusian State University of Transport. 158 (in Russian).

7. Vorobyov V. E., Kucher V. Ya. (2004) Forecasting the Service Life of Electrical Machines. St. Petersburg, North-West State Technical University. 56 (in Russian).

8. Pehota A., Galushko V., Gromyko I. (2021) Technology of Using Convolutional Neural Networks in Diagnosing the State of Transformers. Vestnik Polotskogo Gosudarstvennogo Universiteta. Seriya C. Fundamental'nye Nauki = Vestnik of Polotsk State University. Part C. Fundamental Sciences, (12), 63–69 (in Russian).

9. Pekhota A. N., Galushko V. N., Gromyko I. L. (2021) Diagnostics of Inter-Turn Short Circuits of Transformers Using Comprehensive Analysis of Instrument Data. Energoeffektivnost' [Energy Efficiency], (2), 24–28 (in Russian).

10. Galushko V. N., Pekhota A. N., Gromyko I. L. (2020) The Use of Intelligent Neural Networks for the Diagnosis of Inter-Turn Circuits of Transformers. Materialy X Mezhdunar. Nauch.-Prakt. Konf. «Problemy Bezopasnosti na Transporte», Gomel', 26–27 Noyab. 2020 g. [Materials of the Xth International Scientific and Practical Conference “Problems of Transport Safety”, Gomel, November 26–27, 2020]. Gomel, Belarusian State University of Transport, 88–89 (in Russian).

11. Pekhota A. N. Galushko V. N., Gromyko I. L (2022) Technology of Application of Diagnostic Complex of Transformers. Energoeffektivnost' [Energy Efficiency], (3), 22–26 (in Russian).

12. Pekhota A. N. Galushko V. N., Gromyko I. L (2022) The Results of Diagnosing Various Malfunctions of Air-Cooled Transformers. Energoeffektivnost' [Energy Efficiency], (8), 24–29 (in Russian).

13. Opeiko O. F. (2022) Synthesis Based on Linearization of Vector Speed Control of an Induction Motor without a Speed Sensor. Energetika. Izvestiya Vysshikh Uchebnykh Zavedenii i Energeticheskikh Ob’edinenii SNG = Energetika. Proceedings of CIS Higher Education Institutions and Power Engineering Associations, 65 (2), 103–114. https://doi.org/10.21122/1029-7448-2022-65-2-103-114 (in Russian).