StudiesCourses
Computational Fluid Dynamics

Computational Fluid Dynamics

The course teaches the basics of computational fluid dynamics. The fundamental aerodynamic mechanisms considered in this course can be transferred to the simulation of turbomachinery, aircraft, and biomedical applications. Methods to discretize the partial differential equations and to solve the associated system of equations will be introduced and analyzed. To this end, various methods to analyze the stability of numerical schemes and different sources of errors will be investigated. Finally, different models for the simulation of turbulent and transitional flows will be discussed.

Recommended for 6th semester

CONTENT

  • Basic equations of computational fluid dynamics
  • Discretization with the finite difference and the finite volume method
  • Stability analysis of numerical schemes
  • Solution methods for partial differential equations
  • Modeling of turbulent and transitional flows
  • Examination and analysis of numerical schemes with Python

RECOMMENDED PREVIOUS KNOWLEDG

  • Fluid Mechanics I
  • Fluid Mechanics II
  • Heat Transfer I

RECOMMENDED LITERATURE

  • Lecture notes
  • Ferziger, Peric: Numerische Strömungsmechanik, Springer, 2008
  • Hirsch: Numerical Computation of Internal and External Flow - The Fundamentals of Computational Fluid Dynamics, Elsevier 2007
  • Anderson, J. D. JR: Computational Fluid Dynamics, The Basics with Applications, McGraw-Hill Science/Engineering/Math

TYP OF EXAMINATION

written

COURSE ENROLLMENT AND MATERIALS

Further information about this module can be found via the Online Course Catalogue and Stud.IP. In addition, you must also register your attendance at this course via Stud.IP.


LECTURER

Dr.-Ing. Lars Wein
Group Leader
Multiphysics of Turbulent Flows
Address
An der Universität 1
30823 Garbsen
Building
Room
213
Dr.-Ing. Lars Wein
Group Leader
Multiphysics of Turbulent Flows
Address
An der Universität 1
30823 Garbsen
Building
Room
213

TUTOR

Hendrik Seehausen, M.Sc.
Research Staff
Address
An der Universität 1
30823 Garbsen
Building
Room
312
Hendrik Seehausen, M.Sc.
Research Staff
Address
An der Universität 1
30823 Garbsen
Building
Room
312