Bachelor & Master Theses

We welcome Bachelor and Master thesis students in our group! We supervise students in Mechanical Engineering and Aerospace Engineering, as well as students of the Mechanics and Computational Engineering study areas, or other related fields of study.

Thesis topics can be closely related to our main research focus areas as described on our Research page , or could also cover other areas of computational mechanics and engineering, as well as advanced and additive manufacturing.

If you are interest in writing your theses with us, please do not hesitate to contact one of the members of the CPS group or Prof. Oliver Weeger directly.

• Simulation of additive manufacturing with digital twins and machine learning

  Simulation von 3D Druckprozessen mit Digitalen Zwillingen und Machine Learning

  2023/12/15

  Masterthesis

  The aim of this thesis is to develop a novel approach for topology optimization of linear elasticity problems in solid mechanics using immersed boundary conformal isogeometric analysis (IBC-IGA). In particular, the explicit description of the boundaries of the optimal topology as spline curves shall be combined with the boundary-conformal quadrature method. In this way, it will be possible to represent complex geometries with relatively few design variables and facilitate efficient gradient-based design optimization.

  Supervisors: Prof. Dr. rer. nat. Oliver Weeger, Dr.-Ing. Maximilian Kannapinn

• Topologieoptimierung mit immersierter, randkonformer isogeometrischer Analyse

  Topology optimization with immersed boundary conformal isogeometric analysis

  2023/02/28

  Masterthesis

  The aim of this thesis is to develop a novel approach for topology optimization of linear elasticity problems in solid mechanics using immersed boundary conformal isogeometric analysis (IBC-IGA). In particular, the explicit description of the boundaries of the optimal topology as spline curves shall be combined with the boundary-conformal quadrature method. In this way, it will be possible to represent complex geometries with relatively few design variables and facilitate efficient gradient-based design optimization.

  Supervisors: Prof. Dr. rer. nat. Oliver Weeger, M.Sc. Yusuf Elbadry

• Simulation und Optimierung von Lattice-Strukturen

  Simulation and optimization of lattice structures

  2022/02/16

  Masterthesis

  Supervisor: Prof. Dr. rer. nat. Oliver Weeger

  Announcement as PDF