Why numerical modelling of multiphase flows ?
- the course strongly supports both computational and experimental career pathways in applied sciences
- logical continuation of the following courses: Computational Fluid Dynamics, Heat Transfer, Combustion Technology. However, the course can also been taken as a stand-alone course.
- very broad relevance: modelling and experimenting in fluid dynamics, energy, fuel, bioparticles, marine, chemical process industry, reacting flow, heat transfer, medicine etc
- energy efficiency, flow system design, heat transfer design, particulate/bubbly beds, energy release, fuels, combustion, chemical reactions...
- interested companies: Energy applications (Fortum, Neste, Oilon, Wärtsilä), Forest industry (Andritz, Valmet), Marine (Wärtsilä, Meyer, ABB), Medicine (GE, hospitals)
- crucial to understand particle, droplet and bubble transport in gases and liquids
- submodeling (particle transport, mixing, evaporation, breakup) used in various industrial processes in R&D
- reacting flows occur in several energy production systems
- course offers basic understanding on numerical submodels which are broadly used in industry and research
- used tools: Matlab, Python, Cantera
Intended learning objectives:
ILO1: Student can apply and implement most common particle/droplet/bubble sub-models (transport, heat transfer, evaporation, break-up) in Matlab environment.
understands the role of mixing and diffusive transport in fluid
dynamics. The student understands the difference between premixed and
ILO3: Student understands basic reacting flow concepts and can apply the Cantera software to evaluate 0d methane oxidation
(i.e. ignition) and 1d flame propagation in terms of emissions. Student also understands other applications of chemically reacting flows of which combustion is only one example.
ILO4: Student understands the governing equations of compressible and reacting flows and how certain common
sub-models are linked to the governing equations.
ILO5: Student can analyse jet mixing and Bunsen flame development using a provided Matlab code.