Practical trainings, student assistants and theses
Offer | All | School practical training | Master theses | Research Assistant | Student practical training | Volunteer internship | | Bachelor theses | Student Assistant | Compulsory internship |
---|---|
Institute/ Dep. | All | FKVF | FWD | FWDC | | FWDF-P | FWDF-V | FWGR | FWGT | FWGT-B | FWIO-N | FWIO-T | FWIZ-N | FWKT | FWPC | FWU |
Formatting | Table | |
Numerical simulation of fibre-laden drops – mandatory internship or final thesis (Master, Diplom) opportunity (Id 448)
Master theses / Diploma theses / Compulsory internship
Understanding the behaviour of fibre-laden drops is critical due to their presence in various industrial applications, including microelectronics fabrication, portable medical devices, and biofuel production. Our work focuses on the numerical simulation of fibre-laden drops, specifically investigating a single long deformable fibre within a drop impacting a solid substrate. The study aims to elucidate the dynamic interactions between the fibre and the drop. Key objectives include determining the changes in drop dynamics due to the fibre and observing fibre deformation upon impact.
This work will involve computational fluid dynamics (CFD), particularly finite volume methods, with a focus on interface tracking using the Volume of Fluid approach. The simulation will incorporate surface wettability to enhance our understanding of elasto-capillary interactions, offering insights relevant to real-world applications.
We are seeking a motivated student with prior experience in CFD (preferably OpenFOAM) or similar modelling software.
Department: Particle dynamics
Contact: Radhakrishnakumar, Subhadrakutty, Dr. Lecrivain, Gregory
Requirements
- Enrolled in a degree program such as Process Engineering, Mechanical Engineering, or Computational Modelling and Simulation
- Strong interest in particle-fluid dynamics and numerical simulations
- Preliminary experience in CFD, ideally with OpenFOAM
- Basic coding skills, preferably in C++
Conditions
- Immediate start possible
- Duration of internship or thesis as per university regulations
- Remuneration available, scholarship holders (e.g. ERASMUS+) are welcome
Online application
Please apply online: english / german
Development and experimental investigation of a multi-channel flow body sensor (Id 421)
Bachelor theses / Master theses / Diploma theses / Compulsory internship
The development of a multi-channel flow body sensor according to patent WO 2010/069307 A1 aims to quantify the gas content in flow-carrying components. A decisive advantage of this sensor lies in its optical measuring principle, which is based on fiber-optic coupling and the analysis of the light output signal. This avoids electrical potentials in the measuring area, offering significant advantages over electrical measuring methods (intrinsic safety), especially for explosive mixtures.
Preliminary tests at the Institute for Experimental Fluid Dynamics at the Helmholtz Center Dresden-Rossendorf on gas-liquid flows showed that a clear binarization of the sensor output signal can be achieved due to the capillary effects in narrow channels and the different refractive indices of the gas and liquid phases. Building on previous work with a single-channel sensor prototype based on a polymer optical fiber (POF) with a diameter of 1 mm, the following tasks must be completed as part of further research.
Tasks:
- Adjusting the POF diameter to 1.5 mm in the single-channel configuration.
- Conducting experimental investigations of the new single-channel prototype using the already developed test system and evaluation programs.
- Designing a multi-channel sensor body for gas content measurements in the system.
- Developing a transition adapter to optimize the flow distribution between the DN10 flow pipe and the sensor body.
Department: Fluid process engineering
Contact: Condriuc, Ivan, Dr. Kipping, Ragna
Requirements
- Students majoring in fields such as process engineering, mechanical engineering, or chemical engineering.
- Interest in fluid mechanics and the development of measurement technology.
- Experience with 3D CAD tools.
- Basic knowledge of Python programming
Conditions
Start date: 01.01.2025
Duration: according to the respective study regulations