AVÊÓƵ

School of Engineering and Informatics (for staff and students)

Computational Fluid Dynamics (501H3)

Computational Fluid Dynamics

Module 501H3

Module details for 2022/23.

15 credits

FHEQ Level 7 (Masters)

Module Outline

Basic governing equations of fluid flow; discretization of governing equations; grid generation; turbulence modelling; numerical methods for incompressible and compressible flow; boundary conditions; simulation/analysis of a turbulent flow problem using the commercial software package ANSYS Workbench.

The syllabus covers the following AHEP4 learning outcomes: M1, M2, M3, M4, M17

Library

J.H. Ferziger & M. Peric, "Computational methods for fluid dynamics", Springer-Verlag (2nd edition), 1999.
J.D. Anderson, "Computational fluid dynamics: the basics with applications", McGraw-Hill, 1995.
C.A.J. Fletcher, "Computational techniques for fluid dynamics - volume 2", Springer (2nd edition), 2000.
P. Wesseling, "Principles of computational fluid dynamics", Springer, 2000.
J. Blazek, "Computational fluid dynamics: principles and applications", Elsevier, 2001

Module learning outcomes

Have new insights at the forefront of CFD

Have a systematic understanding of turbulence modelling

Apply a modern commercial CFD code to the analysis of a turbulent flow problem

Be critically aware of the important issues in performing a CFD simulation/analysis

TypeTimingWeighting
Coursework50.00%
Coursework components. Weighted as shown below.
ReportT2 Week 11 100.00%
Computer Based ExamSemester 2 Assessment50.00%
Timing

Submission deadlines may vary for different types of assignment/groups of students.

Weighting

Coursework components (if listed) total 100% of the overall coursework weighting value.

TermMethodDurationWeek pattern
Spring SemesterLecture2 hours11111111110
Spring SemesterLaboratory3 hours11111111111

How to read the week pattern

The numbers indicate the weeks of the term and how many events take place each week.

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The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.

School of Engineering and Informatics (for staff and students)

School Office:
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