Public defence in Electromechanics, M.Sc. Ismet Gürbüz

The title of the thesis: Material characterization, modeling, and incorporation of the models in the machine simulation of large-diameter synchronous machines

Doctoral student: Ismet Gürbüz
Opponents: Prof. Luc Dupré, Ghent University, Belgium, and Prof. Jean-Philippe Lecointe, Université d'Artois, France
Custos: Prof. Anouar Belahcen, Aalto University School of Electrical Engineering, Department of Electrical Engineering and Automation

Manufacturing of electrical machine parts involves cutting electrical steel sheets using various techniques. These cutting processes degrade the magnetic properties of the materials and increase iron losses. When these materials are used in electrical machines, alongside other loss mechanisms, they increase the energy losses further and reduce the overall efficiency of electrical machines. 

Given the significant financial investment in energy consumption and global commitment to minimizing energy losses, it becomes crucial to precisely estimate the additional losses resulting from cutting processes. Accurate prediction of these losses contributes to the optimization of electrical machines and holds the potential for substantial global energy savings. 

This dissertation presents a comprehensive methodology for realistic and computationally efficient simulations of electrical machines considering the effect of cutting on iron losses and magnetization. This was accomplished through a series of phases, involving experimental characterization, modeling, incorporation of the developed models, and finite-element simulation of the machine with the incorporated models. 

The tools and methodologies developed in this thesis are expected to improve the accuracy of machine simulations and facilitate the machine design procedure. This improvement would lead to the development of more efficient machines with reduced losses, which would contribute to the global effort to decrease energy consumption and greenhouse gas emissions.

Thesis available for public display 10 days prior to the defence at: https://aaltodoc.aalto.fi/doc_public/eonly/riiputus/

Contact:

Doctoral theses in the School of Electrical Engineering: https://aaltodoc.aalto.fi/handle/123456789/53