Robots are extremely versatile machines with almost endless application possibilities. In the course of an exhibition, a prototype demonstrator of these diverse applications was developed, in which our 7-axis collaborative robot arm ‘Rica’ is used to draw faces. Images are converted into line drawings and paths to be traversed are calculated from them. This demonstrator is now to be further developed and upgraded.

Robots are extremely versatile machines with almost endless application possibilities. In the course of an exhibition, a prototype demonstrator of these diverse applications was developed, in which our 7-axis collaborative robot arm ‘Rica’ is used to draw faces. Images are converted into line drawings and paths to be traversed are calculated from them. This demonstrator is now to be further developed and upgraded.

Robots are extremely versatile machines with almost endless application possibilities. In the course of an exhibition, a prototype demonstrator of these diverse applications was developed, in which our 7-axis collaborative robot arm ‘Rica’ is used to draw faces. Images are converted into line drawings and paths to be traversed are calculated from them. This demonstrator is now to be further developed and upgraded.

Robots are extremely versatile machines with almost endless application possibilities. In the course of an exhibition, a prototype demonstrator of these diverse applications was developed, in which our 7-axis collaborative robot arm ‘Rica’ is used to draw faces. Images are converted into line drawings and paths to be traversed are calculated from them. This demonstrator is now to be further developed and upgraded.

Robots are extremely versatile machines with almost endless application possibilities. In the course of an exhibition, a prototype demonstrator of these diverse applications was developed, in which our 7-axis collaborative robot arm ‘Rica’ is used to draw faces. Images are converted into line drawings and paths to be traversed are calculated from them. This demonstrator is now to be further developed and upgraded.

Robots are extremely versatile machines with almost endless application possibilities. In the course of an exhibition, a prototype demonstrator of these diverse applications was developed, in which our 7-axis collaborative robot arm ‘Rica’ is used to draw faces. Images are converted into line drawings and paths to be traversed are calculated from them. This demonstrator is now to be further developed and upgraded.

Heat pumps are also becoming increasingly important for industrial applications in steam generation. A particularly good thermodynamic model for balancing and developing operating load profiles is therefore of particular importance.

Fundamental investigations into flow phenomena and interaction mechanisms in modern high-pressure turbines are carried out at the Large Scale Turbine Rig (LSTR). The focus is on a Reynolds-scaled high-pressure turbine rotor, which was scaled using a Mach-like high-pressure turbine test rig. Reynolds scaling offers decisive advantages for experimental investigations, but does not reproduce Mach number effects.

Increasing networking and standardization in industry are opening up new opportunities for the uniform mapping and control of production systems. In this position, you will have the opportunity to help design a forward-looking digital twin framework based on industry standards that combines machine control, simulation, and monitoring. You will work at the interface between research and practice and develop solutions that can be transferred to a wide range of production machines.

The efficient assessment of a component’s structural integrity using deep learning enables the joint optimization of material selection and distribution. This allows for a more flexible and exploratory design space exploration, fostering the development of more holistic design solutions.

Robots are extremely versatile machines with almost endless application possibilities. In the course of an exhibition, a prototype demonstrator of these diverse applications was developed, in which our 7-axis collaborative robot arm ‘Rica’ is used to draw faces. Images are converted into line drawings and paths to be traversed are calculated from them. This demonstrator is now to be further developed and upgraded.

This master’s thesis investigates the integration of metallic energy carriers into large-scale energy systems. Metallic energy carriers are first implemented in the open-source framework PyPSA (Python for Power System Analysis). Subsequently, their role and potential in future multimodal energy systems are analyzed.

Subject areas:

1. Simulate Contact Deformation in FEM (Siemens NX)

2. Parametric Simulation Studies

3. Stress Distribution and Stiffness Analysis

4. Computational Tolerance Analysis

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.

The Institute for Simulation of Reactive Thermo-Fluid Systems (STFS) conducts cutting-edge research on reactive flows and alternative energy carriers. One of our focus areas is the combustion of metallic fuels, which have the potential to play a key role in future energy systems.

Aluminum, in particular, undergoes a unique combustion process where evaporated metal reacts with steam, forming hydrogen and aluminum oxide. The global reaction and transport rates are controlled by a multitude of tightly coupled processes, including phase changes, gas phase reactions, thermophoresis, and droplet shape evolution—key aspects that are not yet fully understood.

In this thesis, you will contribute to refining numerical models for these processes using OpenFOAM-based simulations. Your work will help improve the predictive capabilities of existing models, enabling more accurate simulations of aluminum combustion.

Do you have experience in CFD, physical modeling, or programming (Python/C++) in a Unix-based environment? If not, are you eager to develop these skills? If so, we encourage you to contact us for more information!

Subject areas:

1. Finite Element Method (FEM), via Siemens NX

2. Parametric Simulation Studies

3. Stress Distribution and Stiffness Analysis

4. Computational Tolerance Analysis

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).

Revoltech is a young start-up at TU Darmstadt that develops sustainable leather alternatives. In order to substantiate the sustainability of one of their products, MATTR, with facts and figures, a Life Cycle Assessment (LCA) is now to be carried out. The scientific challenge here is dealing with missing data on a product in the development stage and formulating sustainability requirements.

The evaporation of liquid droplets, a phenomenon ubiquitous in daily life, has garnered significant attention in scientific research. Of particular interest is the evaporation of droplets laden with nonvolatile solutes, which results in intricate deposition patterns on the substrate. Understanding the mechanisms underlying the formation of these patterns is crucial for various technical applications, spanning from coating and inkjet printing to disease detection. This work delves into the development of a comprehensive model of the specific ring-like deposition patterns observed during the drying of droplets.

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:

The aim of this work is to enable the automated consideration of life cycle assessment in the optimisation of design process.

As emission regulations tighten and policies evolve to address global climate change, reducing pollutant and greenhouse gas emissions has become a top priority in combustion research. The advanced combustion concept of matrix-stabilized combustion is essential for achieving low emissions and improved flame stabilization in fuel-lean conditions. Combustion within an inert porous matrix differs significantly from conventional burners that use a free flame. Porous media burners (PMBs) rely on the principle that the solid porous matrix internally recirculates heat from combustion products back to the reactants. This internal heat recirculation in PMBs lowers the lean flammability limit of fuel-air mixtures, enabling lower emissions, reduced thermal stresses due to lower flame temperatures, and complete fuel conversion through lean combustion. However, stabilizing these flames within the porous matrix poses challenges due to the complex thermophysical, transport, and heat-transfer processes involved.

The objective of this project is to install a well-designed PMB in the RSM laboratories and perform the first experimental investigation using different pore structures and fuel mixtures.