We introduce turbulent flows phenomenologically and present current analysis and modeling tools. Through interactive measurement exercises in the wind tunnel, the learned methods are applied and the properties of turbulent flows are further deepened. The basic mechanisms are always related to technically relevant flows such as on the wing, around vehicles or in turbomachinery.

This course is offered in German only

Based on the learned fundamentals of turbulent flows, the aspect of flow control is taught. We introduce the linear stability theory of turbulent flows and thus deal with the formation and control of large scale turbulent structures. Various empirical and analytical methods for describing these coherent structures are presented and discussed. Subsequently, various methods for active and passive flow control are discussed in detail.
This course is offered in German only

Through current measurement technology and numerical simulations, more and more possibilities exist to obtain large amounts of data in flow fields. In order to gain targeted diagnoses and insights, it is necessary to systematically collect and analyze these data volumes. This is a challenge especially in highly turbulent flows.

This course is offered in German only

This project offers insights into current research fields in thermofluid dynamics of the Dynamics of Unsteady Flows group. This includes questions from areas such as flow and flame dynamics, flow control, instabilities in reacting flows or special methods of data analysis.

This course is offered in German only

Presentation and discussion of currently published research papers on relevant topics in the field of turbulent flow analysis. Furthermore, current student research projects and theses as well as project work in the field of dynamics of unsteady flows will be presented.

In order to fully exploit the potential of modern gas turbines, further design steps are necessary to optimize the operational performance. In this context, the possibility of alternative fuels such as hydrogen also places new demands on gas turbines. In our research, we use machine learning methods to create mathematical models of various components of the combustion system that can be used for analysis and optimization. With the participating students, we will pursue the new approach of Cluster-Based network modeling to analyze and evaluate experimental flow data from a combustion chamber. For this purpose, we will give an introduction to the method as well as to combustion technology in general. In the subsequent project-oriented part of the course, participants will then apply the method to more complex data in small groups.