Announcement of current Bachelor/Master theses, Advanced Design Projects (ADPs) and Advanced Research Projects (ARPs).
Masterthesis
Electric machines generate heat due to electrical losses and mechanical friction, with cooling in the rotor-stator gap typically limited to air circulation. This study explores the effect of introducing small liquid droplets into the airflow to enhance heat transfer. By investigating aerosol-based cooling, this research aims to enhance thermal management and improve the efficiency of electric machines. The project involves designing a small gap (outer cylinder), and connecting it to an existing setup, then conducting experiments to generate and analyze aerosol flow in the gap. The impacts of droplets will be recorded and analyzed, then the aerosol generator with 3 different nozzles will be characterized.
Supervisor: Samaneh Abdi Qezeljeh, M.Sc.
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Masterthesis
Due to the increasing frequency of extreme weather conditions, aircraft icing events are becoming more prevalent. The study of this phenomenon has gained significant attention, particularly in the field of aviation safety. Our research aims to enhance this understanding by investigating the effects of moving surfaces with drop impact, simulating conditions similar to those experienced by a helicopter. The project involves conducting experiments using an existing setup that creates a single water drop impact onto a rotating disk (very small changes could be required). The impact is recorded using a synchronized infrared and high-speed camera. The recorded images will be analyzed, and the thickness of the resulting ice layer on the disk will be measured using a chromatic line sensor (CLS).
Supervisor: Reda Kamal, M.Sc.
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2024/11/05
Masterthesis
As part of the FlowForLife research project, a microfluidic supply network for 3D cell clusters is being developed. One aspect of the network design is the oxygen transport in the surrounding matrix. To characterize this, oxygen quenching luminescent particles are added to the surrounding matrix. The oxygen concentration can be determined at each particle.
From these sparse pointwise concentration data, the flow field in the porous surrounding matrix is to be determined. A solution of the convection-diffusion equation representing the measured concentration field must be found so that conservation of mass and momentum is satisfied in the underlying flow field. Physically-informed neural networks (PINNs) are a promising approach to find such a solution. In this thesis a PINN code should be developed and the achievable accuracy is to be evaluated. The following tasks could be part of the thesis:
Supervisor: Till Werner, M.Sc.
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Advanced Design Project (ADP)
Within the research project FlowForLife, a microfluidic supply network for 3D cell clusters is being developed. Therefore, micro channels are studied with regard to their flow as well as the oxygen transport into the surrounding medium or tissue. The oxygen transport of enriched fluid into the surrounding hydrogel matrix will be measured using phosphorescent particles.
Supervisor: Till Werner, M.Sc.
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