Postgraduate Course: Computational Fluid Dynamics (MSc) (PGEE11055)
Course Outline
| School | School of Engineering |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| Summary | This course makes extensive use of software which runs in a laboratory to provide hands on experience for the students. We have taken great care to ensure this is possible whilst meeting the likely distancing measures and face coverings that are expected to be in place in September. Changes in Scottish Government guidance may make it impossible to run the course in September, or restrictions may require us to restrict the numbers that can take the course.
Please be assured that we want to ensure you have the best possible experience if you take this course.
This course 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. |
| Course description |
Not entered
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | None |
Course Delivery Information
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| Academic year 2021/22, Not available to visiting students (SS1)
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Quota: None |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
200
(
Lecture Hours 10,
Supervised Practical/Workshop/Studio Hours 20,
Formative Assessment Hours 1,
Summative Assessment Hours 80,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
85 )
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| Assessment (Further Info) |
Written Exam
50 %,
Coursework
50 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
Assignment (50%) Final Examination (50%) |
| Feedback |
Not entered |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
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| Main Exam Diet S1 (December) | | 2:00 | |
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.
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Reading List
Numerical Computation of Internal and External Flows (Second Edition)
The Fundamentals of Computational Fluid Dynamics, Elsevier
Charles Hirsch (ISBN: 978-0-7506-6594-0)
An Introduction to Computational Fluid Dynamics: The Finite Volume Method, by Henk Kaarle Versteeg, Weeratunge Malalasekera · Pearson Education Limited · Paperback · 503 pages · ISBN 0131274988
Computational Fluid Dynamics, by John Anderson · McGraw-Hill Education · ISBN 0070016852
Elements of Computational Fluid Dynamics, by John D. Ramshaw · Imperial College Press · Paperback · 127 pages · ISBN 1848167059
Computational Fluid Dynamics, by T. J. Chung · Cambridge University Press · ISBN 1107425255
Computational Fluid Dynamics: A Practical Approach, by Jiyuan Tu, Guan Heng Yeoh, Chaoqun Liu · Butterworth-Heinemann · ISBN 0080982433 |
Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | computational fluid dynamics |
Contacts
| Course organiser | Prof David Ingram
Tel: (0131 6)51 9022
Email: David.Ingram@ed.ac.uk |
Course secretary | Mr James Foster
Tel: (0131 6)51 3562
Email: James.Foster@ed.ac.uk |
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