Theoretical and experimental analysis of loss in go steels from DC to kHz range

• Grant number: 18/15125-7
• Support Opportunities: Scholarships abroad - Research Internship - Post-doctor
• Start date: January 02, 2019
• End date: February 02, 2019
• Field of knowledge: Engineering - Materials and Metallurgical Engineering - Physical Metallurgy
• Agreement: Network of Italian Universities
• Principal Investigator: Fernando Jose Gomes Landgraf
• Grantee: Mateus Botani de Souza Dias
• Supervisor: Carlo Stefano Ragusa
• Host Institution: Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Institution abroad: Politecnico di Torino, Italy
• Associated to the scholarship: 17/11645-3 - Study of the tension annealing influence on magnetic loss and magnetostriction of electrical steel (Fe-Si) under compressive stress., BP.PD

Abstract

Generation and distribution of the electrical energy pass through the magnetic cores of power transformers, whose energetic efficiency is crucial to the sustainable exploitation of the natural resources, the containment of CO2 emissions, and their undesirable effects on the world climate. Progress in design and development of efficient electrical machines relies on improved and better-understood magnetic materials. The physical investigation of the magnetization process is actually the key to the understanding of the response of these materials in applications, besides providing indispensable feedback to the material developers. Since the main magnetic core material in transformers is the grain oriented electrical steel (FeSi 3%w.), the candidate will investigate magnetic loss in these materials, through experimental and theoretical analysis based on the loss separation principle and the Statistical Theory of Loss. Moreover, the loss components will be predicted under sinusoidal and distorted waveforms, and for a frequency range up to 5 kHz. This internship project is direct related with the postdoctoral project of the candidate. In particular, the theoretical models will be applied to understand and predict the stress annealing influence on the loss mechanisms of grain oriented electrical steel.