Learning outcome

A candidate who has passed the course will have a learning outcome in the form of acquired knowledge, skills, and general competence, as described below.

Knowledge

The candidate will:

• understand the meaning of the terminology associated with computational fluid dynamics
• understand the physical principles associated with the subject
• understand the general transport equations for mass, momentum and energy
• understand the numerical methods for solving the transport equations for mass, momentum, energy and other scalar transport equations
• understand the physical behaviour of turbulence and how it is modelled in RANS

Skills

The candidate will:

• be able to apply adequate methods, techniques and equations in solving problems using CFD
• be able to apply and solve the transport equations for mass, momentum and energy
• be able to assess different numerical methods for solving transport equations
• be able to use relevant CFD software

General competence

The candidate will:

• be able to use CFD on new problems
• be able to report results from CFD-analysis
• be able to apply the transport equations in new problems
• Derivation of the transport equations of mass, momentum and energy, both generally and for a Newtonian fluid
• Turbulence and modelling of turbulence in RANS
• Numerical methods for convection and diffusion problems
• Numerical methods for pressure-velocity linked equations
• Numerical methods for algebraic equations
• Boundary conditions for transport equations
• Computer lab with relevant CFD software

Course Description

Content

• Derivation of the transport equations of mass, momentum and energy, both generally and for a Newtonian fluid
• Turbulence and modelling of turbulence in RANS
• Numerical methods for convection and diffusion problems
• Numerical methods for pressure-velocity linked equations
• Numerical methods for algebraic equations
• Boundary conditions for transport equations
• Computer lab with relevant CFD software

Teaching and Learning Methods

Lectures, exercises, computer lab and assignments are used.

An online, part-time version of the PT and EET study programmes will start Fall 2016. An online version of the present course is taught according to the online, part-time PT and EET study programmes. The course will continue to be taught as a traditional campus-based course. The course contents and the learning material used in the course will be the same in both programmes, however, with some differences in the organization of the course: In the online version of the course, there are no ordinary lectures. A number of relevant videos produced by the instructor(s), or external videos, will be provided. These videos will be provided both for the online course and for the campus-based course. In the online course, laboratory assignments may be organized at a gathering on the campus during the semester.

Assessment Methods

The final test counts 100 % - one week home exam .
Grades A-F are used.

Minor adjustments may occur during the academic year, subject to the decision of the Dean