Data Analysis and Modeling of Turbulent Flows

Courses at DMF

Machine Learning in Fluid Dynamics (6 LP, every semester)

Machine Learning (ML) is successfully entering all fields of engineering. In fluid dynamics research, a range of ML methods are considered as established. This course gives an overview on a variety of ML methods in non-reacting and reacting flows. Students learn these architectures with a number of data sets via hands-on session in small groups. By the end of the course, students are able to choose/train and evaluate a specific ML model for their problem of interest. 

Openfoam for Combustion Simulations (6 LP, every semester)

About 90% of the global energy is produced by combustion. At the same time, combustion is the main driver of pollutant emissions and, hence, becomes one of the global challenges of our time. How can we decarbonize the combustion process of today ? What is the impact of hydrogen fuel on a combustion system ? These are only few questions that we will address in this course.
Numerical simulations of reacting flows require an increased modeling effort. In this course, we recapitulate briefly the basics of non-reacting flow simulations in OpenFoam. Next, hands-on sessions of well-prepared 0D, 1D and 2D test cases will be used and run by the students. By the end of the course, the students know the required modeling tasks to perform reacting flow simulations.

Thermoacoustic Research Project (6 LP, only during WiSe)

This course is a follow-up from the very successful 'X-Student Research Group' that we have been awarded by the Berlin University Alliance (BUA) in 2020. We define specific research questions that have to be researched by the students individually. Since this is a research-driven project, we do not know the final answer or solution, so we discover together with the students the research results. Of course, this mode of researching only works with highly motivated students who wish to expierience an independant course style in which they can deep dive into a specific fluid mechanical problem. We encourage the students to express their research interests and possibly identify subjects that can result in a Master thesis.
The number of course participants is limited to 6. Prior knowledge on data-driven methods and/or combustion (theory, simulations or experiments) is beneficial.

MINTgruen Verbrennung und Akustik in Raketen und Turbinen (6 LP, only during WiSe)

Dieser MINTgrün-Kurs richtet sich speziell an Studierende im zweiten Semester des Orientierungsstudiums. In kleinen Arbeitsgruppen von 2 Personen verschaffen wir einen aktuellen Überblick über aktuelle Probleme in der Verbrennungsforschung inkl. der Vorstellung modernster Untersuchungsmethoden. Die Studierenden lernen den selbstständigen Umgang mit einem numerischen Werkzeug in Matlab und untersuchen bis zu drei Brenkammerkonfigurationen auf ihre Stabilität.

Wie in den anderen Kursen auch, setzen wir hier nicht auf Frontalunterreicht, sondern beziehen alle ein in den Gruppendiskussionen. Der Kurs wird mit einem Vortrag und einem Kurzbericht abgeschlossen. Der letzte Termin ist als Exkursion zu den Siemenshallen in Berlin-Mitte angesetzt.