Studien-, Bachelor- oder Master-Arbeiten

Im Folgenden finden Sie eine Auswahl offener studentischer Abschlussarbeiten bei uns im Fachgebiet EMFT. Weitere Arbeiten in den genannten Themenbereichen sind auf Anfrage möglich. Kontaktieren Sie uns gerne!

Der Leitfaden (wird in neuem Tab geöffnet) enthält Hinweise zum Schreiben von Abschluss- und Hausarbeiten. Außerdem stehen LaTeX-Vorlagen für Arbeiten und Vorträge bereit.

  • Modeling and Simulation of Foil Windings

    19.01.2022

    Bachelorarbeit, Masterarbeit, Projektseminar, Hiwi Stelle

    In many applications, foil windings are preferred over wire windings or Litz-wire windings because of their better thermal properties, higher fill factor, lower resistance and easier construction. Foil windings are used in inductors, magnet systems and transformers. Contemporary developments are focusing on increasing frequencies, lower weight and production cost and shorter time-to-market. Further research on foil windings is driven by applications such as, e.g., foil-winding transformers for DC-DC converters and foil windings used in filters or for wireless power transfer.

    The skin effect which becomes increasingly important at higher frequencies, is counteracted by using thinner foils. For a skin depth below the foil’s thickness, the skin effect is assumed to be only relevant at the foil tips. There, however, high current densities may lead to hot spots, even when the tips are well cooled. Additionally, fringing flux impinging perpendicularly on the foils causes eddy currents, possibly leading to unacceptably high local losses.

    Betreuer/innen: Jonas Bundschuh, M.Sc., Dr.-Ing. Yvonne Späck-Leigsnering

    Ausschreibung als PDF

  • Parareal Physics-Informed Neural Networks for Transient Electromagnetic Field Problems

    03.09.2020

    Bachelorarbeit, Masterarbeit, Projektseminar, Arbeitstyp nach Absprache, Hiwi Stelle

    Artificial Neural Networks (NNs) have provided transformative results in numerous and diverse engineering domains, e.g. image processing or pattern recognition. In recent years, NNs have also been utilized for solving Partial Differential Equations (PDEs). Therein, one of the most popular approaches are Physics-Informed Neural Networks (PINNs).

    A major drawback of PINNs is the computational cost arising due to the use of large datasets and NNs with many degrees of freedom. As a remedy, a recent work has proposed a combination of the Parareal and PINN algorithms, resulting in a method referred as PPINN. The PPINN algorithm splits long-time problems into many independent short-time problems, supervised by an inexpensive and fast coarse-grained conjugatebgradient solver. The benefit of PPINN is that it decreases the computational cost of training a DNN by reducing the size of the training set and the number of d.o.f.s per network.

    The task of the thesis is to implement the PPINN algorithm to a suitable, transient electromagnetics problem, a test case that has not appeared in the literature so far. A comparison against standard PINNs will complement this work.

    Betreuer/innen: Dr.-Ing. Dimitrios Loukrezis, Moritz von Tresckow, M.Sc.

    Ausschreibung als PDF

  • p-Type algebraic multigrid for high order hierarchical FEM for Maxwell's equations

    15.02.2020

    Bachelorarbeit, Masterarbeit, Projektseminar

    In this work, a novel p-type AMG formulation for the solution of Maxwell’s equations will be developed. The method will be based on the high order hierarchic approximation space of Zaglmayer in order to derive appropriate smoothing, restriction and interpolation operators. The method is to be implemented in parallel the platform, PETSC. Furthermore, the numerical performance of the method will be analyzed for relevant applications in a HPC environment.

    Betreuer/in: PD Dr. rer. nat. Erion Gjonaj

    Ausschreibung als PDF

  • Elastodynamic Wave Propagation in Rail Tracks

    30.10.2019

    Bachelorarbeit, Masterarbeit, Projektseminar

    A train excites elastodynamic waves in the rail track. The track consists of rails, fasteners, railroad ties (or sleepers) and ballast. The system can be decomposed in waveguide parts and connections. The former are represented by waveguides with corresponding wave numbers and impedances. The latter are represented by additional impedances. In this respect, the track system has many similarities with a waveguide system for electromagnetic waves. This suggests exploiting well known techniques for electromagnetic waveguide systems to model rail tracks.

    Betreuer/in: Prof. Dr.-Ing. Herbert De Gersem

    Ausschreibung als PDF

  • Modeling and Simulation of Insulation Layers in Superconducting Magnets

    2021

  • Architecture Optimization in Physics-Informed Neural Networks

    2021