Performance Analysis of Induction Motor Based on Core Material

Ali Failh Challoop, Ahmed Jasim Sultan, Mehdi F. Bonneya


One of the most important factors of an induction motor is to obtain the best electromagnetic torque for an induction motor, which depends on the type and specification of the magnetic materials of the stator and rotor. The proposed method in this paper is based on selecting the core materials which can have minimum core losses, minimum cogging torque, good electromagnetic torque, and best efficiency. The purpose of this research is to improve the electromagnetic torque of a three-phase induction motor by investigating core magnetic materials and analyzing the motor's performance. The five magnetic materials (Cobalt Iron, Steel 1010, Steel 1018, Silicon Steel M270, and Nickel-Iron) are used. The test method is carried out using a two-dimensional flow environment to examine the electrical and mechanical properties of magnetic materials that are used based on finite element analysis (FEA). The simulation results showed that torque, efficiency, Iron losses (Bertotti), and steady-state time of speed are 37.52 N.m, 91.1%, 84.78 w, and 0.25 sec, respectively, for nickel-iron, which was the best material compared to the performance of other materials. These materials were further tested for their performance in two cases (no load and at load).


Keywords: core magnetic materials, motor performance, induction motor, flux environment, finite element.



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NUGROHO H. S., MAHARDHIKO S. W., and HARYOSENO H. W. Life cycle cost assessment of replacing standard induction motor with high efficiency induction motor used in salt industry. AIP Conference Proceedings, 2019, 2062: 020033.

GANGSAR P., & TIWARI R. Diagnostics of mechanical and electrical faults in induction motors using wavelet-based features of vibration and current through support vector machine algorithms for various operating conditions. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2019, 41(2): 71.

BIRD J. Electrical Circuit Theory and Technology, 6th ed. Routledge, 2017.

MATIZAMHUKA W. The impact of magnetic materials in renewable energy-related technologies in the 21st century industrial revolution: The case of South Africa. Advances in Materials Science and Engineering, 2018, 2018: 3149412.

KARNAVAS Y. L., & CHASIOTIS I. D. Influence of soft magnetic materials application to squirrel cage induction motor design and performance. Engineering Journal, 2017, 21(1): 193–206.

KOCMAN S., ORSAG P., and PECINKA P. Simulation of start-up behaviour of induction motor with direct online connection. Advances in Electrical and Electronic Engineering, 2017, 15(5): 754–762.

KOCMAN S., ORSAG P., and PECINKA P. Simulation of selected induction motor operating conditions using COMSOL software. Advances in Electrical and Electronic Engineering, 2018, 16(3): 288–296.

KOCMAN S., PE P., and HRUBÝ T. Induction Motor Modeling Using COMSOL Multiphysics. Proceedings of the 17th International Scientific Conference on Electric Power Engineering, Prague, 2016, pp. 1-5.

DI C., PETROV I., PYRHONEN J. J., and CHEN J. Accelerating the Time-Stepping Finite-Element Analysis of Induction Machines in Transient-Magnetic Solutions. IEEE Access, 2019, 7: 122251–122260.

KOCMAN S., & NOWAK S. Analysis of the stator winding fault of induction motor using COMSOL multiphysics. Proceedings of the 20th International Scientific Conference on Electric Power Engineering, Kouty nad Desnou, 2019, pp. 1–6.

BOLOTIN K., SHVYDKIY E., SMOLYANOV I., and TARASOV F. Numerical study of the possibility of using cermet inserts in electromagnetic stirring application. Acta Technica CSAV (Ceskoslovensk Akademie Ved), 2018, 63(5): 709–720.

YETGIN A. G., & UNLUKAYA E. New design in order to reduce rotor reaction for squirrel cage induction motor: Skewed slits. Journal of Electrical Systems, 2018, 14(1): 1–12.

BARG S., AMMOUS K., MEJBRI H., and AMMOUS A. An Improved Empirical Formulation for Magnetic Core Losses Estimation Under Nonsinusoidal Induction. IEEE Transactions on Power Electronics, 2017, 32(3): 2146–2154.

YANLI F., & CHENGNING Z. Analytical Calculation for Predicting the Core Loss of Surface-Mounted Permanent Magnet Machine. Energy Procedia, 2017, 105: 2119–2124.

AHMADI F., SOZER Y., DONAHUE M. J., and TSUKERMAN I. A Low-loss and Lightweight Magnetic Material for Electrical Machinery. IET Electric Power Applications, 2020, 14(2): 282-290.

RAZZAQ M. K. Loss Identification Using Inverse Thermal Modelling in Cage Induction Motor. Master thesis. Aalto University, Espoo, 2019.

ZHAO Z., HU X., BI Z., XU M., MA X., and ZHANG P. Calculation of core loss under distorted flux density with minor hysteresis loops for laminated steel structure. AIP Advances, 2020, 10(7): 075001.


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