Bachelor's and Master's theses
Final theses
- In many areas of application in mechanical engineering, the focus of component design is not only on preventing component failure, but it is often necessary for components to fail in a certain way under exceptional load cases. Predicting the process of component failure using simulations will play an increasingly important role in product development in the future.
- Methods used for fracture calculation:
⊳ Phase field method
⊳ Peridynamics
- Possible tasks:
⊳ Implementation of new numerical approaches in existing code
⊳ Performance of parameter studies
- Further information:
⊳ on request from an employee
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In many areas of application in mechanical engineering, structured materials are used to convert impacts into deformation energy in a targeted manner. The damping behavior of the component is additionally improved by the use of viscoelastic elastomers. Using representative volume elements (RVE), the time-dependent macroscopic material behaviour can be characterized and transferred to more complex components. The overarching goal is to better understand the behavior of the microstructure on the macroscopic material behavior and to take this into account in future product development.
- additively manufactured structures used:
⊳ open-cell foams
⊳ grid cells
- possible tasks:
⊳ static and dynamic RVE calculations
⊳ computer-aided structure generation
⊳ performance of parameter studies
- Further information:
⊳ on request from a member of staff
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Reliable material parameters are required in many areas of application in mechanical engineering. At the Chair, we investigate the mechanical material behavior under static and dynamic loads using various specimens. Of particular interest is the material characterization of additively manufactured elastomers using tensile and compression tests. In addition to hyperelasticity and viscoelasticity, anisotropy and damage effects can also be investigated. The experimental data obtained is used to determine material parameters and can be used in a further step to simulate the material behavior.
- Test stands used:
⊳ Universal tensile-compression testing machine
⊳ Split Hopkinson bar test stand
- Possible tasks:
⊳ Determination of static material behavior
⊳ Determination of dynamic material behavior
- Further information:
⊳ on request from a member of staff
Other topics to be assigned:
- We offer:
⊳ Expense allowance of €900.00 / month
⊳ Working on exciting and innovative topics and products
⊳ Support in the processing of research topics by our experts
⊳ Flexible working hours, also from the home office
- Possible topics:
⊳ Alternative loads and calculation methods for shock verification
⊳ Evaluation criteria for the permissible plastic strain of components
- Further information:
⊳ Further information
- Radon measuring systems based on multi-wire impulse ionization chambers (VIIK) are sensitive to mechanical vibrations due to their design. Floor vibrations in particular, such as footfall noise, which is transmitted to the measuring system, impair the measuring accuracy. Optimized, passive damping is usually required.
For an existing VIIK, the possibilities of damping must be investigated by means of simulation and practical tests.
- Tasks:
⊳ Development of the basic possibilities of vibration damping on VIIK.
⊳ Vibration analysis and optimization using simulation.
⊳ Setup, verification and, if necessary, optimization of the results on an existing VIIK.
- Further information:
⊳ further information - Supervisor:
⊳ Ralf Nötzel
- Radon measurement systems based on multi-wire pulse ionization chambers (VIIK) generate an electrical pulse each time an alpha particle is detected. The signal curve over time and the pulse height contain significant information about the energy of the alpha particle. Knowing the exact value of this energy is important for determining the real radon concentration.
The task is to read, save and evaluate the continuously generated data set of a VIIK on the PC.
- Tasks:
⊳ Read in and save the real significant signal curves of a VIIK in MATLAB with AD converter (e.g. with Red Pitaya).
⊳ Data and error analysis using MATLAB.
⊳ Evaluation and graphical representation of the results.
- Further information::
⊳ further information - Literature:
⊳ D. Linzmaier (2013)
- Supervisor:
⊳ Ralf Nötzel
Planning and development projects (PEP)
To be awarded:
- Further information:
⊳ further information - Supervisor:
⊳ Ralf Nötzel
Templates
| Installation instructions | anleitung_latex_win |
| Writing template | BA_MA.zip |
| Presentation template | talk.zip |
| poster template | poster template.zip |
You will receive the password from your supervisor!