Computational Fluid Dynamics 5 (U01173)

? Credit Points : 20 ? SCQF Level : 11 ? Acronym : EEL-5-MECFD

This module introduces CFD by means of a set of lectures covering the background physics and mathematics, together with practical assignments that use commercial CFD software to solve flow problems. The need for error control and independent validation of results is stressed throughout. Although particular software (GAMBIT and FLUENT) is used for the assignments, the underlying themes of the module are generic.

Entry Requirements

none

Subject Areas

Home subject area

Mechanical, (School of Engineering and Electronics, Schedule M)

Delivery Information

? Normal year taken : 5th year

? Delivery Period : Semester 2 (Blocks 3-4)

? Contact Teaching Time : 6 hour(s) per week for 11 weeks

First Class Information

Date	Start	End	Room	Area	Additional Information
07/01/2008	10:00	13:00			TLC, Fleming Jenkins Building

All of the following classes

Type	Day	Start	End	Area
Laboratory	Monday	10:00	13:00	KB

Summary of Intended Learning Outcomes

On completion of the module, students should be able to:

1. Describe how the fields of fluid mechanics, mathematics and computer science have contributed to the development of CFD.

2. Identify the key aspects of fluid mechanics relevant to the setting up of a problem for CFD, and to the interpretation of the results.

3. Describe how various levels of approximation to the equations of motion are appropriate to particular classes of flow problem.

4. Describe the nature of turbulent flows and explain why 'turbulence models' are necessary to many CFD solutions.

5. Distinguish between the important classes of turbulence model.

6. Describe the important classes of numerical discretisation scheme, and explain the relationship between the discretisation process and the underlying fluid physics.

7. Appreciate the significance of error control and validation in CFD.

8. Discuss the sources of error in CFD solutions, and describe steps which can be taken to estimate the magnitude of errors.

9. Set up a two-dimensional flow problem for CFD solution, including geometry, boundary conditions, flow models and solution parameters.

10. Use pre-processor, solver and post-processor software to build a CFD model for two-dimensional problem, and obtain a solution.

11. Estimate the magnitudes of solution errors, and take steps to validate the results.