# DEGREE REGULATIONS & PROGRAMMES OF STUDY 2011/2012

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# Undergraduate Course: Computational Fluid Dynamics 5 (MECE11004)

 School School of Engineering College College of Science and Engineering Course type Standard Availability Available to all students Credit level (Normal year taken) SCQF Level 11 (Year 5 Undergraduate) Credits 20 Home subject area Mechanical Other subject area None Course website http://www.see.ed.ac.uk/teaching/mech/ 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.
 Pre-requisites Co-requisites Prohibited Combinations Other requirements None Additional Costs None
 Pre-requisites None Displayed in Visiting Students Prospectus? Yes
 Delivery period: 2011/12 Semester 1, Available to all students (SV1) WebCT enabled:  Yes Quota:  None Location Activity Description Weeks Monday Tuesday Wednesday Thursday Friday King's Buildings Lecture Ashworth Labs LT3 1-11 10:00 - 13:00 First Class Week 1, Wednesday, 10:00 - 13:00, Zone: King's Buildings. Ashworth Labs LT3 Exam Information Exam Diet Paper Name Hours:Minutes Main Exam Diet S1 (December) Computational Fluid Dynamics 5 2:00 Resit Exam Diet (August) 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.
 Assignment 50% Final Examination 50%
 None
 Academic description Not entered Syllabus Not entered Transferable skills Not entered Reading list Not entered Study Abroad Not entered Study Pattern Not entered Keywords Not entered
 Course organiser Dr David Ingram Tel: (0131 6)51 9022 Email: David.Ingram@ed.ac.uk Course secretary Mrs Laura Smith Tel: (0131 6)50 5690 Email: laura.smith@ed.ac.uk
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