Motivation

In mist filtration, fiber-based coalescers are a well-established method for filtering droplets present in mist. The filtration process involves distinct steps, outlining the interaction of droplets with fibers, the formation of fluid structures, and the transport of liquid. Coalescence, where smaller droplets merge to form larger ones, is a key mechanism in the development of these fluid structures, giving rise to the term coalescing filter.

Contents

To investigate the mechanisms within depth filters at a microscopic level, studies often focus on single fibers. In this study, the interaction between droplets and a vibrating fiber in a flow channel will be examined. Tiny droplets, in the picoliter range, will be placed on the fiber for this purpose. Handling these media on a microscopic scale presents a significant experimental challenge.

State-of-the-art high-speed optics and custom-developed tools for image analysis, including object tracking and contact angle analysis using MATLAB, will be employed to identify the mechanisms of droplet-fiber interaction. To better understand the motion patterns between the droplet and the fiber, videos will be analyzed using existing machine learning models, which will be further improved to enhance accuracy.

If you are generally interested in micro fluidics, filtration, image postprocessing with MATLAB and want to have a first look into machine learning I would be happy if you send me an email or give me a call. Afterwards, we can work together to align the thesis according to your interests and wishes.

What I can offer you:

• I maintain an intensive mentoring relationship with my students with regular appointments (if requested) and I’m always available to support with problems
• I give my students the freedom to contribute their own ideas to the final project

Your tasks include:

• Depending on the specific topic CAD modelling of 3D-printed parts for the test rig
• Developing an understanding for optical systems
• Development of tools for image analysis
• Use Machine Learning model
• Creation and tracking of a project plan for your thesis

What should you bring to the job:

• Having fun to try and learn new things
• Ability to communicate
• goal-oriented working
• Basic knowledge of C++, MATLAB or Python is beneficial

Contact information
Alexander Schwarzwälder, M.Sc.
E-Mail: alexander.schwarzwaelder∂kit.edu
Tel.: +49 721 608-46573
Straße am Forum 8
Geb. 30.70, Raum 109
76131 Karlsruhe