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 and possible e-learning activities.

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