2015/16 Taught Postgraduate Module Catalogue

MECH5770M Computational Fluid Dynamics Analysis

15 creditsClass Size: 100

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

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2015/16

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 increasing complexity. Although these tasks are primarily related to aerospace applications, students should be able to apply this knowledge to other application areas including automotive, wind, biomedical and oil & gas engineering.

Objectives

Learning outcomes
On completion of this module, the student will be able to:
- Review the governing equations for fluid dynamics and methodologies for solving them computationally;
- 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

CFD introduction: Introduction to computational fluid dynamics and the role of CFD in the design and analysis process. Review of current capabilities and future directions.
- Governing equations (Potential, Euler & Navier-Stokes equations)
- Hierarchy of models
- Discretization schemes and solution strategies
- The importance of boundary conditions.
- Turbulence modeling (RANS, LES, DES)
- High performance computing
- Post-processing (Drag extraction)
- Multi-physics simulation (fluid-structure interaction, heat transfer)
Mesh generation: Geometry handling, Surface & volume meshing, Overview of mesh generation strategies: structured; unstructured; hybrid and overset, Best practice guidelines for capturing complex geometry and complex flow physics including flows with attached and separated boundary-layers, off-surface vortices and shock waves.
CFD applications: Managing uncertainty (validation & verification), Best practice guidelines for simulating steady & unsteady flows with focus on practical engineering applications and using commercial mesh generation/flow solver packages.

Teaching methods

Delivery type	Number	Length hours	Student hours
Lecture	14	1.00	14.00
Practical	19	1.00	19.00
Private study hours			117.00
Total Contact hours			33.00
Total hours (100hr per 10 credits)			150.00

Private study

Students are to spend on average:
- 0.5 hours preparation/revision for each lecture (7 hours total),
- approximately 2 hours of private work for each practical CFD task (38 hours total),
- approximately 72 hours of work for one piece of coursework.

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	40.00
Report	Project report - Perform a 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: 26/03/2015

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