Thermo and Fluid Dynamics

Thermo and Fluid Dynamics

The subject Thermo- and Fluid Dynamics comprises a class of versatile transport phenomena in fluids and gases with direct importance to our daily life, in technology and in nature.
To investigate and predict these phenomena, computational methods (CFD Computational Fluid Dynamics) have emerged as a mature technique in many application fields such as aero- and hydrodynamics, turbomachinery, chemical and process engineering and biotechnology. The course programme aims at providing the background for the successful application and further development of these methods.

What will be taught?

  • Introduction to the physical and chemical background, conservation laws, thermodynamics and turbulence.
  • Mathematical formulation of problems and methods of their solution, e.g. finite difference, volume or element methods. The use of efficient solvers and multigrid methods.
  • Aspects of High Performance Computing, application of parallel computers
  • Interpretation of numerical data by visualisation and validation of results.
  • Practical course, providing students with the opportunity to use and apply CFD codes and to get insight into the details of the methods.

What knowledge in Fluid Mechanics will be expected?

Fundamental high-school level knowledge in physics and mathematics is required. During the course, the students will be equipped with the necessary additional knowledge in the above fields, although basic knowledge in the field of fluid mechanics, thermodynamics and heat and mass transfer are of help. Programming skills in Fortran, C or C++ are necessary. There should be an interest in solving problems
focusing on both the physical and technical aspects as well as the mathematical and computer-science aspects. There is a variety of textbooks related to numerical fluid mechanics. Manuscripts are available.


  • C. Hirsch: Numerical computation of internal and external flow, Wiley.
  • J. Ferziger, M. Peric: Computational Methods for Fluid Dynamics, Springer.

TAF Adviser

Dr.-Ing. Manuel Münsch

Department of Chemical and Biological Engineering
Chair of Fluid Mechanics