Public defence in Electromechanics, M.Sc.(Tech.) Brijesh Upadhaya
M.Sc.(Tech.) Brijesh Upadhaya will defend the thesis "Models of Magnetic Anisotropy for Non-oriented Silicon Steel Laminations of Electrical Machines" on 21 October 2022 at 12 (EET) in Aalto University School of Electrical Engineering, Department of Electrical Engineering and Automation, in lecture hall TU1, Maarintie 8, Espoo, and online in Zoom.
Dr. Ir. François Henrotte, University of Liège, Belgium
Dr. Afef Kedous-Lebouc, Grenoble Electrical Engineering Laboratory G2Elab, France
Prof. Anouar Belahcen, Aalto University School of Electrical Engineering, Department of Electrical Engineering and Automation
The public defence will be organized via remote technology. Follow defence: https://aalto.zoom.us/j/65202388248
Zoom Quick Guide: https://www.aalto.fi/en/services/zoom-quick-guide
Thesis available for public display at: https://aaltodoc.aalto.fi/doc_public/eonly/riiputus/
Doctoral theses in the School of Electrical Engineering: https://aaltodoc.aalto.fi/handle/123456789/53
Public defence announcement:
The design of electrical machines requires accurate prediction of core and winding losses. Core losses (hysteresis, classical eddy-current, and excess) are a significant part of the total losses. Nonoriented silicon (NO) steel laminations are widely used as the magnetic core in electrical machines. Accurate prediction of the magnetic behavior in the NO silicon steel laminations is indispensable for efficient and compact design.
The NO silicon steel laminations possess a significant level of magnetic anisotropy, which is often neglected in the design process. The numerical analysis tools often assume the magnetic core composed of NO silicon steel to be magnetically isotropic. The anisotropy possessed by the NO silicon steel can influence the distribution of the magnetic fields and associated losses. It may adversely affect the core losses. Thus, this necessitates a thorough study to be carried out to include the magnetic anisotropy in the magnetic material models and its application to the numerical analysis tools.
This thesis proposes anisotropic material models (anhysteretic reluctivity, Jiles-Atherton, and energy-based) suitable for the numerical field analysis of electrical machines. The anisotropic models are validated against the measurement data. Moreover, a finite element level validation confirms the suitability of the proposed models in the electromagnetic design stage of electrical machines.
Contact information of doctoral candidate: