TURBULENCE - 2022/3
Module code: ENGM249
In light of the Covid-19 pandemic the University has revised its courses to incorporate the ‘Hybrid Learning Experience’ in a departure from previous academic years and previously published information. The University has changed the delivery (and in some cases the content) of its programmes. Further information on the general principles of hybrid learning can be found at: Hybrid learning experience | University of Surrey.
We have updated key module information regarding the pattern of assessment and overall student workload to inform student module choices. We are currently working on bringing remaining published information up to date to reflect current practice during the academic year 2021/22.
This means that some information within the programme and module catalogue will be subject to change. Current students are invited to contact their Programme Leader or Academic Hive with any questions relating to the information available.
This module builds on earlier modules in aerodynamics and computational fluid dynamics. The module provides an introduction to the physics of turbulent flows, their prediction and experimental study. Practice is covered through CFD case studies and a related assignment.
Mechanical Engineering Sciences
BIRCH David (Mech Eng Sci)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 7
JACs code: H440
Module cap (Maximum number of students): N/A
Overall student workload
Independent Learning Hours: 87
Lecture Hours: 20
Tutorial Hours: 5
Laboratory Hours: 18
Captured Content: 20
Prerequisites / Co-requisites
Either ENG3210 Computational Fluid Dynamics or ENG3165 Numerical Methods and CFD
Indicative content includes:
Turbulence: introduction, laminar flow, transition, definitions; Navier-Stokes equations, Reynolds stresses, turbulence energy; structure of turbulence and turbulent flows; the turbulent boundary layer
Turbulence modelling: the closure problem; one- and two-equation turbulence models; introduction to advanced models, large-eddy simulation (LES) and direct numerical simulation (DNS)
Computational fluid dynamics (CFD): application of turbulence models, physical and computational implications; case studies
Experimental techniques: wind tunnels and anemometry
|Assessment type||Unit of assessment||Weighting|
|Examination Online||FINAL EXAMINATION||60|
The assessment strategy is designed to provide students with the opportunity to demonstrate
understanding of the scientific principles, and mathematical methodologies used in the study of turbulence. The CFD coursework element allows students to demonstrate that they can interpret a problem, conduct a CFD analysis at the level used in the aerospace industry, and present a report of the solution clearly and accurately.
Thus, the summative assessment for this module consists of:
· CFD assignment [ Learning outcomes 3, 4 ]
· Examination [ Learning outcomes 1, 2, 3, 4, 5 ]
Formative assessment and feedback
- Formative verbal feedback is given in tutorials
- Written feedback is given on the CFD assignment
- provide a general understating of turbulence and the nature and structure of turbulent flows
- introduce turbulence modelling and its application in CFD, including practical experience in its use
- introduce experimental techniques for investigating turbulent flows
|001||Demonstrate a comprehensive understanding of the general features of turbulent flows and modelling methods||K||M1, M2, M3|
|002||Describe the origin and significance of Reynolds stresses and associates properties||KC||M1, M2|
|003||Demonstrate understanding of the basis of the ¿closure problem' and its resolution through turbulence modelling||KC||M1, M2, M3|
|004||Be able to use basic turbulence models in CFD and be aware of advanced models and their strengths/weaknesses||KCPT||M2, M3, M4, M12, M13|
|005||Demonstrate awareness of experimental techniques for investigating turbulent flows||KCP||M5, M13, M15|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Methods of Teaching / Learning
The learning and teaching strategy is designed to introduce the basic principles of turbulence through theory with worked examples. This is delivered principally through lectures and tutorial classes. Practice is covered through CFD case studies and a CFD assignment solving a basic aerospace test case.
Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.
Upon accessing the reading list, please search for the module using the module code: ENGM249
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2022/3 academic year.