Izvestiâ Vysših Učebnyh Zavedenij i Ènergetičeskih ob Edinennij SNG. Ènergetika (Apr 2024)

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

  • A. N. Pekhota,
  • V. N. Galushko,
  • B. M. Khrustalev,
  • D. V. Mirosh

DOI
https://doi.org/10.21122/1029-7448-2024-67-2-125-136
Journal volume & issue
Vol. 67, no. 2
pp. 125 – 136

Abstract

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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.

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