Propagation of uncertainties across electromagnetic models

• Applicant: Professor Dr.-Ing. Kay Hameyer
• Subject Area: Electrical Energy Systems, Power Management, Power Electronics, Electrical Machines and Drives
• Term: from 2017 to 2022
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 323896285

During the production of electrical machines, the used materials and their properties deviate as a result of the production process. The consideration of these effects is usually performed by worst-case estimates and Monte-Carlo simulations. In order to increase the accuracy and reduce the computational effort of said estimates, the hereby proposed project targets at the transfer of results of the preciding project "Propagation of uncertainties across electromagnetic models". Starting with a finite element analysis of a numerical model of the electrical machine, a meta-model will be designed. This meta-model will be used for the investigation of the influence of material property deviations on the characteristics of the machine. A Failure Mode and Effects Analysis (FMEA) will be performed to estimate the degree of the deviations. With the knowledge of these deviations, the mechanical transfer function and the acoustical characteristics will be transformed into a time domain machine model. Subsequently, a sensitivity analysis of the input parameters allows the design of the meta-model. The meta-model transforms the time domain model with high costs with respect to computation time into a polynomial surface area response with lower costs. Based on the results of the meta-model, suggestions for an optimized machine design will be derived. This includes suggestions regarding the optimization for constant boundary conditions, for robust design, for the increase of reliability as well as suggestions for tolerance allocation. The project partner WILO SE supports the project with their experience in the development of electrical machines in small and big quantities. The design and development of the electrical machines to be investigated in this project will also be part of WILO SE contribution. The machines provided by the partner will be analyzed by measurements in order to investigate their characteristics. The suggestions for optimized machine designs will refer to those reference machine designs.

• DFG Programme: Research Grants (Transfer Project)
• Application Partner: WILO SE