Content, progress and pedagogy of the
module
Learning objectives
Knowledge
- Have knowledge about the methods behind Computational Fluid
Dynamics (CFD)
- Have knowledge about various spatial and temporal
discretisation schemes
- Have knowledge about the pressure-velocity coupling method for
solving the Navier-Stokes equations numerically
- Have knowledge about meshing strategies and boundary
conditions
- Have knowledge about the fundamentals of turbulence, the energy
cascade and Kolmogorov hypotheses
- Have knowledge and understanding within Reynolds-Averaged
Navier-Stokes (RANS) and turbulence modelling
- Have knowledge about the fundamentals of multiphase flow
- Have knowledge about different modelling approaches for
multiphase flow and multiphase models in the context of CFD
- Have knowledge about turbulence-particle interaction in
multiphase flow
Skills
- Be able to use the finite volume method to numerically solve
simple problems
- Be able to perform a mesh independency study in CFD
analyses
- Be able to perform CFD analyses of a turbulent flow with
regards to selection of turbulence model and near wall
modelling/meshing strategy
- Be able to perform CFD analyses for non-reacting multiphase
flow, for both the Euler-Euler and Euler-Lagrange approaches
- Be able to apply proper terminology in oral, written and
graphical communication and documentation within CFD, turbulence
and multiphase flows
Competences
- Be able to use the finite volume method to numerically solve
simple problems
- Be able to perform a mesh independency study in CFD
analyses
- Be able to perform CFD analyses of a turbulent flow with
regards to selection of turbulence model and near wall
modelling/meshing strategy
- Be able to perform CFD analyses for non-reacting multiphase
flow, for both the Euler-Euler and Euler-Lagrange approaches
- Be able to apply proper terminology in oral, written and
graphical communication and documentation within CFD, turbulence
and multiphase flows
Type of instruction
Lectures supplemented by workshops, exercises, hands-on and
self-studies.
Extent and expected workload
Since it is a 5 ECTS course module, the work load is expected to
be 150 hours for the student.
Exam
Exams
Name of exam | Computational Fluid Dynamics (CFD) and Multiphase
Flow |
Type of exam | Oral exam
Oral examination which can be based on a mini-project. |
ECTS | 5 |
Assessment | 7-point grading scale |
Type of grading | Internal examination |
Criteria of assessment | As stated in the Joint Programme Regulations.
http://www.engineering.aau.dk/uddannelse/studieadministration/ |