Undergraduate Course: Computational Fluid Dynamics 5 (MECE11004)
Course Outline
School | School of Engineering |
College | College of Science and Engineering |
Credit level (Normal year taken) | SCQF Level 11 (Year 5 Undergraduate) |
Availability | Available to all 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 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. |
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 |
Information for Visiting Students
Pre-requisites | None |
High Demand Course? |
Yes |
Course Delivery Information
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Academic year 2024/25, Available to all students (SV1)
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Quota: None |
Course Start |
Semester 1 |
Timetable |
Timetable |
Learning and Teaching activities (Further Info) |
Total Hours:
200
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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%
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Feedback |
Not entered |
Exam Information |
Exam Diet |
Paper Name |
Hours & Minutes |
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Main Exam Diet S1 (December) | Computational Fluid Dynamics 5 | 2:120 | | Resit Exam Diet (August) | Computational Fluid Dynamics 5 | 2:120 | |
Learning Outcomes
On completion of this course, the student will be able to:
- Perform high quality flow simulations in two and three dimensions using a commercial CFD solver.
- Select appropriate physics models (e.g. laminar, turbulent, compressible, free surface, etc) needed for a particular flow simulation.
- Make use of meshing tools to produce high quality meshes with appropriate use of mesh refinement and coarsening.
- Use refinement analysis and other validation and verification techniques to demonstrate a solution is of the desired quality.
- Interpret computed solutions for both general and specialist audiences, using appropriate visualisation techniques, derived quantities, and solution monitors.
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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
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Contacts
Course organiser | Prof David Ingram
Tel: (0131 6)51 9022
Email: David.Ingram@ed.ac.uk |
Course secretary | Miss Catherine Davidson
Tel:
Email: c.davidson@ed.ac.uk |
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