Multiscale Simulation of Hysteresis and Eddy-Current Losses in Magnetic Core Materials (A05)

• Subject Area: Synthesis and Properties of Functional Materials
• Term: since 2022
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 492661287

To increase the efficiency of electrical machines, it is essential to comprehend the magnetic loss mechanism and its dependency on the local defects and grain structure of the magnetic core materials. In this project, we will apply the micromagnetics model based on the Landau-Lifshitz-Gilbert equation, computational homogenisation and Machine Learning to calculate macroscopic hysteresis and losses, which are informed by both local defect features at grain boundary and by microstructural grain structure. Based on simulation data of a large number of local structure samples and grain structure samples, which are either measured or synthetically generated, surrogate models for the linkage between local features and reverse field and for prediction of macroscopic hysteresis and loss will be also obtained by Machine Learning. The multiscale and data scheme will be validated via experimental data and applied for case studies related to cutting and aging.

• DFG Programme: CRC/Transregios
• Subproject of: TRR 361: Computational Electric Machine Laboratory: Thermal Modelling, Transient Analysis, Geometry Handling and Robust Design
• Applicant Institution: Technische Universität Darmstadt
• Project Head: Professorin Dr.-Ing. Bai-Xiang Xu