| Title: | Computational Fluid Dynamics |
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| Long Title: | Computational Fluid Dynamics |
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| Field of Study: |
Mechanical Engineering
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| Valid From: |
Semester 1 - 2016/17 ( September 2016 ) |
| Module Coordinator: |
GER KELLY |
| Module Author: |
Andrew Cashman |
| Module Description: |
The aim of the module is to provide students with a thorough understanding of the principles of Computational Fluid Dynamics. Particular emphasis is placed on providing an understanding of both the theoretical background and limitations of the solution schemes. |
| Learning Outcomes |
| On successful completion of this module the learner will be able to: |
| LO1 |
Apply the finite volume method in creating a numerical model based on fundamental fluid mechanics and/or heat transfer theory |
| LO2 |
Formulate and solve both 1D steady state and transient classical heat and fluid transfer problems |
| LO3 |
Choose and implement appropriate turbulence models in commercial CFD software |
| LO4 |
Apply appropriate discretisation practices to numerical models |
| LO5 |
Develop CFD models and solve problems with complex geometry and physics |
| Pre-requisite learning |
Module Recommendations
This is prior learning (or a practical skill) that is strongly recommended before enrolment in this module. You may enrol in this module if you have not acquired the recommended learning but you will have considerable difficulty in passing (i.e. achieving the learning outcomes of) the module. While the prior learning is expressed as named CIT module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s). |
| No recommendations listed |
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module. You may not earn additional credit for the same learning and therefore you may not enrol in this module if you have successfully completed any modules in the incompatible list. |
| No incompatible modules listed |
Co-requisite Modules
|
| No Co-requisite modules listed |
Requirements
This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed. You may not enrol on this module if you have not acquired the learning specified in this section. |
| No requirements listed |
Co-requisites
|
| No Co Requisites listed |
Module Content & Assessment
| Indicative Content |
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Introduction to CFD
Overview of Computational Fluid Dynamics, Application of Computational Fluid Dynamics in Aerospace, Automotive Engineering, Biomedical Science & Engineering, Chemical and Process Engineering, Civil and Environmental Engineering
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Conservation laws of fluid motion and their boundary conditions
Governing equations of fluid flow and heat transfer. Navier-Stokes equations for a Newtonian fluid, Differential and integral forms of the general transport equations
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Turbulence and its modelling
Objectives in turbulence modeling. Characteristics of simple turbulent flows. Effect of turbulence on properties of mean flows. Standard turbulence models. Wall boundary conditions.
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Convection-diffusion problems
Steady 1D convection and diffusion. Central differencing scheme. Upwind differencing scheme. Hybrid Differencing schemes.
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Solution of systems of discretised equations
Numerical Solution of Algebraic Equation System. Direct Methods. Iterative Methods Gauss Siedel, Jacobi. Relaxation methods. Multigrid procedures
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Specific code based instruction
Geometry generation, repair and modification, Meshing techniques, Boundary condition selection, Solver setup, Convergence monitoring, Post processing
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| Assessment Breakdown | % |
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| Course Work | 100.00% |
| Course Work |
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| Assessment Type |
Assessment Description |
Outcome addressed |
% of total |
Assessment Date |
| Project |
Mini project - Specific code based instruction |
3,4 |
25.0 |
Week 4 |
| Written Report |
Convection-diffusion problems - 1D hand formulation |
1,2,4 |
25.0 |
Week 7 |
| Project |
Major project - Specific code based instruction of complex physics. |
1,3,4,5 |
50.0 |
Sem End |
| No End of Module Formal Examination |
| Reassessment Requirement |
Coursework Only
This module is reassessed solely on the basis of re-submitted coursework. There is no repeat written examination.
|
The institute reserves the right to alter the nature and timings of assessment
Module Workload
| Workload: Full Time |
| Workload Type |
Workload Description |
Hours |
Frequency |
Average Weekly Learner Workload |
| Lecture |
Fundamental numerical simulation theory |
1.0 |
Every Week |
1.00 |
| Lab |
Computer based instruction |
2.0 |
Every Week |
2.00 |
| Independent & Directed Learning (Non-contact) |
Self directed learning |
4.0 |
Every Week |
4.00 |
| Total Hours |
7.00 |
| Total Weekly Learner Workload |
7.00 |
| Total Weekly Contact Hours |
3.00 |
| Workload: Part Time |
| Workload Type |
Workload Description |
Hours |
Frequency |
Average Weekly Learner Workload |
| Lecture |
Fundamental numerical simulation theory |
1.0 |
Every Week |
1.00 |
| Lab |
Computer based instruction |
2.0 |
Every Week |
2.00 |
| Independent & Directed Learning (Non-contact) |
Self directed learning |
4.0 |
Every Week |
4.00 |
| Total Hours |
7.00 |
| Total Weekly Learner Workload |
7.00 |
| Total Weekly Contact Hours |
3.00 |
Module Resources
| Recommended Book Resources |
|---|
- H. K. Versteeg and W. Malalasekera 2007, An introduction to computational fluid dynamics, 2nd Ed., Prentice Hall [ISBN: 9780131274983]
- Jiyuan TU, Guan Heng YEOH, Chaoqun LIU, 2007, Computational Fluid Dynamics, BUTTERWORTH HEINEMANN [ISBN: 978-0-7506-8563-4]
| | Supplementary Book Resources |
|---|
- Pullim, T.H., Zing, D. W. 2014, Fundamental Algorithms in Computational Fluid Dynamics, Springer Science & Business Media [ISBN: 978-3-319-05053-9]
| | This module does not have any article/paper resources |
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| Other Resources |
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- Website: ANSYSANSYS Student Portal
- Website: CFD-OnlineOnline Resources
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Module Delivered in
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