Numerical modelling of fluid flows
Fizikus mérnök BSc
Number of lectures per week:
Number of practices per week:
Number of laboratory exercises per week:
Further knowledge transfer methods:
A lecture note in English is available to acquire the theoretical curriculum.
Special grading methods:
Dr. Gergely Kristóf, associate professor, PhD
Lecturers and instructors:
Introduction: Technical applications of CFD, overview of simulation methods, finite volume method, CFD analysis workflow. Boundary conditions: The role of boundary conditions, numerical implementation. Parameterization of boundary conditions, inlet, outlet, and further boundary conditions. Source terms and jump conditions. Turbomachinery modeling. Turbulence: The origin of turbulence, the characteristics of turbulent flows, turbulent scales. Mixing length model, Reynolds-averaged models, scale resolution models. Meshing: Element types. Element size and quality requirements. Reduction of numerical diffusion, wall boundary layers. Generation of hexahedral, tetrahedral, and polyhedral meshes, peculiarities of mesh types. Modeling of thermal processes: Selection of the density model, wall boundary conditions, determination of the heat transfer coefficient with numerical models. Heat exchanger models. Natural flows, pressure boundary conditions. Thermal radiation modeling. Error estimation: Error or Uncertainty? Verification, calibration, validation. CFD approximation system, error estimation, methods to improve accuracy.
G. Kristóf: Numerical modelling of fluid flows. (A raw translation of the Hungarian course book titled „Áramlások numerikus modellezése” by G. Kristóf, ISBN 978 963 454 412 8, MERSz Kiadó, 2019) Ferziger, J. H., Perić, M., & Street, R. L. (2002). Computational methods for fluid dynamics (Vol. 3, pp. 196-200). Berlin: springer.
List of competences:
Please find the detailed list, as quoted from the Hungarian training and outcome requirements of the Physicist Engineer program, in the Hungarian version of the course description.