Module Details

Module Code: MECH9002
Title: Computational Fluid Dynamics
Long Title: Computational Fluid Dynamics
NFQ Level: Expert
Valid From: Semester 1 - 2016/17 ( September 2016 )
Duration: 1 Semester
Credits: 5
Field of Study: 5211 - Mechanical Engineering
Module Delivered in: 2 programme(s)
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:
# Learning Outcome Description
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
Dependencies
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 MTU module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
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
 
Indicative Content
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
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
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.
Convection-diffusion problems
Steady 1D convection and diffusion. Central differencing scheme. Upwind differencing scheme. Hybrid Differencing schemes.
Solution of systems of discretised equations
Numerical Solution of Algebraic Equation System. Direct Methods. Iterative Methods Gauss Siedel, Jacobi. Relaxation methods. Multigrid procedures
Specific code based instruction
Geometry generation, repair and modification, Meshing techniques, Boundary condition selection, Solver setup, Convergence monitoring, Post processing
Module Content & Assessment
Assessment Breakdown%
Coursework100.00%

Assessments

Coursework
Assessment Type Project % of Total Mark 25
Timing Week 4 Learning Outcomes 3,4
Assessment Description
Mini project - Specific code based instruction
Assessment Type Written Report % of Total Mark 25
Timing Week 7 Learning Outcomes 1,2,4
Assessment Description
Convection-diffusion problems - 1D hand formulation
Assessment Type Project % of Total Mark 50
Timing Sem End Learning Outcomes 1,3,4,5
Assessment Description
Major project - Specific code based instruction of complex physics.
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 University reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact Fundamental numerical simulation theory Every Week 1.00 1
Lab Contact Computer based instruction Every Week 2.00 2
Independent & Directed Learning (Non-contact) Non Contact Self directed learning Every Week 4.00 4
Total Hours 7.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 3.00
Workload: Part Time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact Fundamental numerical simulation theory Every Week 1.00 1
Lab Contact Computer based instruction Every Week 2.00 2
Independent & Directed Learning (Non-contact) Non Contact Self directed learning Every Week 4.00 4
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. 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
Other Resources
 
Module Delivered in
Programme Code Programme Semester Delivery
CR_ECHBI_9 Master of Engineering in Chemical and Biopharmaceutical Engineering 2 Mandatory
CR_EMECE_9 Master of Engineering in Mechanical Engineering 9 Mandatory