BCT-30806 Physical Modelling

Course

Credits 6.00

Language of instruction:

English

Assumed knowledge on:

BCT-22803 Physical Transport Phenomena or BPE-20806 Process Engineering or FPE-20306 Food Proces Engineering or FPE-31306 Transfer Processes or comparable courses.

Contents:

Nowadays computational fluid dynamics (CFD) techniques become more and more integrated into the design of technical biosystems. In addition to this, CFD is also used in the analyses of complex environmental problems. The result of this is that an increasing amount of life science applications of CFD appears in literature with a focus on flow visualization, calculation of heat losses and concentration profiles. In order to have some insight into CFD techniques, in this course we start with traditional physical modelling issues as: balance equations, flux laws, analogy between heat-mass-momentum, convection-diffusion with sink/source terms, Navier-Stokes equation and an illustration of numerical schemes. The physical modelling exercises will be tested on a laboratory setup, and implemented on a computer using basic Matlab and Matlab's PDE-tool.

Learning outcomes:

After successful completion of this course students are expected to be able to:
- understand the basic principles of advanced transport phenomena;
- perform, analyse and numerically evaluate experiments;
- abstract a real system into a physical model;
- implement and analyse the physical model using dedicated Matlab-based software;
- apply basic CFD techniques to own research case.

Activities:

- lectures and tutorials;
- practical work including preparation, performing, analysing and reporting;
- implementation of models in Matlab;
- investigate research project in own specialism in groups of 2-3 persons.

Examination:

Observations during cases. Reports of the (practical) cases have to be handed in before the deadlines mentioned in the course schedule or announced by the lecturer. The exam comprises of (i) oral reports of the six cases (pass/fail) and (ii) a written report of the research project.

Literature:

Lecture notes 'Physical Modelling cases and exercises'.