Course contents *

• Three lectures (2x45 min) covering (i) modelling and approximations, (ii) turbulence scales and modelling and (iii) grid design as well as quality and best practice. During the lectures a home assignment will be made in three steps (see examination).
• Invited speakers presenting commercial and/or research CFD packages.
• One day introduction and hands-on practice in one commercial or research CFD package including grid generation, computation and data analysis. Information how to utilise the supercomputing facility at KTH (PDC).
• Solve one selected industrial or research problem in a project group of max four students. This includes to define and perform a complete CFD analysis, analyse the quality and trust in the results and to do some parametric study. The project will be reported and presented at a seminar in the end of the course.

Intended learning outcomes *

This project course will give you hands-on experiences in computational fluid mechanics (CFD). You will get some insights in the major difficulties in performing CFD computations with good quality and trust and the importance of experiences in basic fluid mechanics phenomena. You will also get some information in similarities and differences in different CFD packages, commercial as well as research codes. The complete process from assumptions and simplifications, mesh design, computation and analysing the results will be covered.

After completing the course you should be able to perform a complete CFD analysis using a commercial or research CFD package.

In specific, you should be able to:

• identify and motivate different approximations and modelling choices in order to be able to complete the analysis within given computational resources,
• chose and specify boundary conditions and initial conditions in relation to chosen models and level of approximations,
• chose the topology and dimensions of the computational grid in relation to chosen models and level of approximations,
• and identify the limitation of the analysis and different sources of errors and how to assess and improve the quality and trust in your computational results.

Course Disposition

No information inserted

Specific prerequisites *

SG2212 Computational Fluid Dynamics.

Recommended prerequisites

No information inserted

Equipment

No information inserted

Literature

To be announced at course start. In 05/06: Tannehill, John C, Computational Fluid Mechanics and Heat Transfer, Taylor & Francis.

Grading scale *

A, B, C, D, E, FX, F

Examination *

• PRO1 - Project, 3.0 credits, Grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Other requirements for final grade *

Homework and computer assignments (LAB1; 3 university credits).

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

No information inserted

Course web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Offered by

SCI/Mechanics

Main field of study *

Mechanical Engineering

Education cycle *

Second cycle

Add-on studies

No information inserted

Ethical approach *

• All members of a group are responsible for the group's work.
• In any assessment, every student shall honestly disclose any help received and sources used.
• In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Supplementary information

Replaced by SG2224.