2017/18 Taught Postgraduate Module Catalogue

MECH5770M Computational Fluid Dynamics Analysis

15 creditsClass Size: 150

Module manager: Dr Carl Gilkeson
Email: C.A.Gilkeson@leeds.ac.uk

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2017/18

Pre-requisites

MECH1215	Thermofluids 1
MECH2670	Thermofluids 2

Module replaces

MECH 3485 Aerodynamics with Computational Fluid Dynamics

This module is not approved as an Elective

Module summary

This module provides the basic theoretical and practical knowledge to allow a student to competently perform Computational Fluid Dynamics (CFD) analysis using commercial software packages used in industry. This is reinforced through a series of practical tasks modelling flows of varying types and complexity. These tasks relate to various engineering applications including aeronautics, mechanical and civil engineering. Participants should be able to apply this knowledge to other application areas including automotive, wind, biomedical and oil ang gas engineering.

Objectives

Learning outcomes
On completion of this module, the student will be able to:
- Understand the governing equations for fluid dynamics and appreciate the limitations of numerical methods/algorithms required for solving them;
- Appreciate the challenges and limitations of CFD application including the importance of verification and validation;
- Evaluate and select the most appropriate solution strategy for a particular application;
- Undertake the simulation and analysis of a practical problem using a commercial CFD package and critically assess the output solution.

Skills outcomes
In addition to providing a firm foundation in the subject, this module develops the analytical and problem solving skills.

Syllabus

1. Introduction to Computational Fluid Dynamics
2. Fundamentals of numerical schemes: discretisation schemes, iterative methods and numerical diffusion
3. Mesh generation including best practice guidelines
4. Boundary conditions: types, uses and implementation
5. Numerics: pressure and density based solvers, grid staggering and the finite volume method, pressure-velocity coupling algorithms
6. Turbulence modelling: energy cascade, hierarchy of models (RANS, URANS, DES, LES, DNS), wall functions and best practice guidelines
7. Verification & Validation (V&V): dealing with sources of error and uncertainty during the application of CFD
8. Post-processing & data presentation: types of post-processing, drag extraction techniques and best practice guidelines
9. High Performance Computing (HPC) and simulation strategies: scalability, scripting, under relaxation, solver techniques
10. Multi-physics simulation: heat transfer, species transport, multiphase, fluid-structure interaction (FSI) and radiation modelling
11. Current capabilities and future trends

Teaching methods

Delivery type	Number	Length hours	Student hours
Lecture	14	1.00	14.00
Practical	18	1.00	18.00
Private study hours			118.00
Total Contact hours			32.00
Total hours (100hr per 10 credits)			150.00

Private study

- approximately 12 hours of private work for the CFD analysis of set tasks (12 hours total),
- approximately 33 hours of work for Report 1.
- approximately 66 hours of work for Report 2.

Opportunities for Formative Feedback

Several formally assessed computer exercises will be set, and marks and feedback will be provided to monitor each student’s progress towards their target grade.

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
Computer Exercise	CFD analysis of set tasks	10.00
Report	Report 1 - Project Report. Perform CFD analysis and report on the process, results and interpretation	30.00
Report	Report 2 - Project report. Perform CFD analysis and report on the process, results and interpretation.	60.00
Total percentage (Assessment Coursework)		100.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Reading list

The reading list is available from the Library website

Last updated: 26/04/2017

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