Undergraduate Course: Computational Fluid Dynamics 5 (MECE11004)
|School||School of Engineering
||College||College of Science and Engineering
||Availability||Available to all students
|Credit level (Normal year taken)||SCQF Level 11 (Year 5 Undergraduate)
|Home subject area||Mechanical
||Other subject area||None
||Taught in Gaelic?||No
|Course description||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 (Star-CCM+) is used for the assignments, the underlying themes of the module are generic.
Entry Requirements (not applicable to Visiting Students)
||Other requirements|| None
|Additional Costs|| None
Information for Visiting Students
|Displayed in Visiting Students Prospectus?||Yes
Course Delivery Information
|Delivery period: 2011/12 Semester 1, Available to all students (SV1)
||WebCT enabled: Yes
|King's Buildings||Lecture||Ashworth Labs LT3||1-11|| 10:00 - 13:00|
||Week 1, Wednesday, 10:00 - 13:00, Zone: King's Buildings. Ashworth Labs LT3 |
|Main Exam Diet S1 (December)||Computational Fluid Dynamics 5||2:00|
|Resit Exam Diet (August)||2:00|
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.
Final Examination 50%
|Course organiser||Dr David Ingram
Tel: (0131 6)51 9022
|Course secretary||Mrs Laura Smith
Tel: (0131 6)50 5690
© Copyright 2011 The University of Edinburgh - 16 January 2012 6:27 am