Analytical Study of the Application of the Amorphous Core Material 2605HB1M to Reduce Core Loss in Electromagnetic Induction Motors

Due to their durable and simple manufacturing, three-phase electromagnetic induction motors presently provide even more than 90% of the mechanical power for use in industry. Many researchers have used artificial intelligence (AI) approaches to optimize electromagnetic induction motor design (TDO) and analyze performance. There are numerous methods for increasing efficiency and decreasing losses in these devices. Electromagnetic iron losses, that originate mostly within stator teeth and yoke along with the rotor yoke, are a critical element. For the convenience of modeling, electromagnetic iron losses are investigated on a 3-phase transformer rather than an electromagnetic induction motor since they both operate on electromagnetic induction and their core losses follow the same fundamental principles. This evaluation was carried out utilizing finite element methodologies with Ansys electronics desktop. A developed computational transformer model that delivers reliable data with high accuracy was proposed. The performance of the computational model was determined to match well with experimental data for a transformer with the same specifications and dimensions found in the labs of Østfold University-Collage Norway. Using the achieved computational model configuration on the Ansys electronics desktop, the core loss and efficiency of an electromagnetic induction transformer for Metglas-2605HBIM amorphous core transformer and M19 silicon steel core transformer at high and low frequencies were then examined and compared. According to the results, when used in electromagnetic induction transformers, amorphous core transformers have lower core losses, higher efficiency, and superior performance than traditional M19 silicon steel core transformers.