# DEGREE REGULATIONS & PROGRAMMES OF STUDY 2018/2019

 University Homepage DRPS Homepage DRPS Search DRPS Contact
DRPS : Course Catalogue : School of Engineering : Postgrad (School of Engineering)

# Postgraduate Course: Computational Fluid Dynamics (MSc) (PGEE11055)

 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 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
 Pre-requisites Co-requisites Prohibited Combinations Other requirements None Additional Costs None
 Academic year 2018/19, Not available to visiting students (SS1) Quota:  None Course Start Semester 1 Timetable Timetable Learning and Teaching activities (Further Info) Total Hours: 200 ( Lecture Hours 22, Supervised Practical/Workshop/Studio Hours 22, Summative Assessment Hours 2, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 150 ) Assessment (Further Info) Written Exam 50 %, Coursework 50 %, Practical Exam 0 % Additional Information (Assessment) Assignment (50%) Final Examination (50%) Feedback Not entered Exam Information Exam Diet Paper Name Hours & Minutes Main Exam Diet S1 (December) Computational Fluid Dynamics (MSc) 2:00
 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.
 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
 Graduate Attributes and Skills Not entered Keywords computational fluid dynamics
 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
 Navigation Help & Information Home Introduction Glossary Search DPTs and Courses Regulations Regulations Degree Programmes Introduction Browse DPTs Courses Introduction Humanities and Social Science Science and Engineering Medicine and Veterinary Medicine Other Information Combined Course Timetable Prospectuses Important Information