Cranfield Univ CFD

8/12/2019 Cranfield Univ CFD

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Computational

Fluid

Dynamics

MSc/PGCert/PGDip

2009-2010


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Computational Fluid Dynamics

Qualification MSc(with PG Certificate / PG Diploma)

School School of Engineering

Course Director: Dr Evgeniy Shapiro

The aim of this course is to offer a programme of study which will enhance the skills of the

graduate student providing a detailed introduction to the fundamentals of Computational luid

!ynamics (C!) together with an insight into the applications of C! across the "readth of thesu"#ect$

For more details of this course please contact

!r$ %vgeniy &hapiro

!epartment of 'erospace &ciences

&chool of %ngineering

Cranfield niversity

Cranfield

edfordshire* +,. 0'/

nited ,ingdom

Tel (0) 12. 3.

%mail e$shapiro4cranfield$ac$uk

5nline 6rospectus7 http788www$cranfield$ac$uk8soe8msccfd
mailto:[email protected]://www.cranfield.ac.uk/soe/msccfdhttp://www.cranfield.ac.uk/soe/msccfdmailto:[email protected]


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"The course is designed to meet the educational needs of graduates planning to make

CFD one of their professional skills. It sets out to bridge the gap between the introductory

level of undergraduate courses and the applied expertise acuired by engineers usingCFD in industry. !tudents will gain the knowledge and appreciation of CFD methods

necessary for strong foundations to a career in this exciting engineering discipline."

Chris Carey, Fluent Europe's Technical Services Manager

#s well as providing solid foundation knowledge$ this %!c course allows students to

discover the latest research in CFD within an efficient and friendly environment.&Pierre-Yves Passaggia (MSc CFD 2!"

The %!c in Computational Fluid Dynamics at Cranfield 'niversity is a very relevant

and stimulating course$ covering the fundamental aspects of the numerical approaches

and applications to industrially relevant flows. #t the same time the course exposes the

current state of the art and development in CFD and covers the important role played by

experimental data in CFD for validation . The delivery of the course is well suited to

mature students like myself$ who are already working in industry and who can only take

the course part(time. The range of optional modules is very good$ would have liked tohave chosen a few extra. The ability to remotely access the CFD computing resources

and the library facilities at Cranfield is a particularly useful facility since time on campus

as a working part(time student is very limited. I took the course as I wanted to build upon

and expand my knowledge as I use CFD in my role a s a systems engineer and it

compliments my background in experimental fluid mechanics. I found the course to be

thoroughly worthwhile and en)oyable.&

#on Po$ell (MSc CFD 2%"


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Table of Contents

ntroduction$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$

ntended learning outcomes of the course$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$3

/earning and Teaching$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$'ssessment &trategy and +ethods$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$9

&ylla"us$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$10

ntroduction to luid +echanics : ;eat Transfer$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$11


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ntroductionComputational luid !ynamics (C!) is the science of determining a numerical solution to the

governing euations of fluid flow whilst advancing the solution through space and time to o"tain a

numerical description of the complete flow field of interest$

's a developing science* C! has received eAtensive attention throughout the internationalcommunity since the advent of the digital computer$ The attraction of the su"#ect is twofold$

irstly* the desire to "e a"le to model physical fluid phenomena that cannot "e easily simulated or

measured with a physical eAperiment* for eAample weather systems or hypersonic aerospace

vehicles$ &econdly* the desire to "e a"le to investigate physical fluid systems more cost effectively

and more rapidly than with eAperimental procedures$

There has "een considera"le growth in the development and application of C! to all aspects of

fluid dynamics$ n design and development* C! programs are now considered to "e standard

numerical tools* widely utilised within industry$ 's a conseuence there is a considera"le demand

for specialists in the su"#ect* to apply and develop C! methods throughout engineering companiesand research organisations$

The current status of C! within industry may "e likened to that of structural analysis a decade

ago* when it too was rapidly maturing$ 't that time the typical company marketing inite %lement

structural analysis programs had a turnover an order of magnitude greater than the largest C!

vendor$ inite %lement programs are now considered to "e part of the routine design and analysis

cycle within industry and are availa"le on almost every computing platform$ n a similar manner

Computational luid !ynamics has "ecome a standard industry tool and is now finding its place

alongside C'! and % packages$

C! is utilised as a design analysis tool within "oth industry and research organisations$ The

course provides a solid "ackground for graduates to "e a"le to apply* in an educated manner* C!

as a design tool for engineering applications$ or those graduates who prefer to study for a 6h!$

the course provides an eAcellent "asis from which to further specialise in the development and

application of "oth numerical algorithms and physical models$

This course has "een designed to reflect the wide application of C! within industry* from

aerospace applications* com"ustion and two phase flow* heat transfer* to tur"omachinery and

environmental flows$ The course is organised in a modular fashion and is specifically designed topermit "oth part time study "y industrially supported students and more usually one year* full time*

study$


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ntended learning outcomes of the course

5n successful completion of the course a student will "e a"le to7

i$ !emonstrate a critical awareness of the governing euations of fluid mechanics* and their

mathematical properties* in various formulations for compressi"le and incompressi"le inviscid

and viscous flows$

ii$ !emonstrate a critical awareness of the underlying principles of numerical analysis* concepts

of sta"ility* approAimation and convergence and the numerical solution of systems of alge"raic

euations$

iii$ !emonstrate a critical awareness of different state-of-the-art C! methods as used in

engineering practice and research and development for "oth incompressi"le and compressi"le

flows$

iv$ !emonstrate a systematic application of the principles and limitations of alternative techniues

for the simulation of tur"ulent and transitional flows and thus "e a"le to apply these in acritical manner to practical applications$

v$ @ecognise the potential sources of* and discriminate "etween* error and uncertainty in

numerical simulations$ e aware of the tools that are availa"le for the uantification of error

and uncertainty in computational simulations$ e a"le to plan and perform credi"le

computational simulations$

vi$ !emonstrate a systematic application of the reuirements of grid generation for C!applications and alternative techniues for the visualisation and interpretation of C! results$

vii$ !emonstrate a systematic application of the use of C! to practical scientific and engineering

fluid flow pro"lems$

viii$ !emonstrate their acuired skills in applying commercial C! software packages to practical

engineering applications$

&tudents completing the PG Certificate will "e a"le to fulfil outcomes (i)-(v)

&tudents completing the PG Diplomawill "e a"le to fulfil outcomes (i)-(v) and a com"ination of

the remaining outcomes depending on the modules selected for study$


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!earning and "eaching

The course is designed to achieve the "road aims of the niversityDs curriculum through7

&cuisition o )no$le*ge

Computational luid !ynamics (C!) is the science of determining a numerical solution to the

governing euations of fluid flow whilst advancing the solution through space and time to o"tain a

numerical description of the complete flow field of interest$ Through the ntended /earning

5utcomes the course will provide a sound foundation to the underlying fundamental topics in fluid

dynamics and the relevant numerical methods employed in C! computational codes$

+n*erstan*ing

Through use of activities such as code development* hands-on eAperience of commercial C!

codes* practical reports* pro"lem solving* and evaluation of pu"lished research* all students will "e

a"le to demonstrate systematic application and critical awareness of the underlying theory$

Sills acuisition

'll students will "e eApected to demonstrate the a"ility to apply commercial ?rid ?eneration* low

&olver and =isualisation software packages to practical pro"lems$ n addition* students will "e

reuired to demonstrate the a"ility to utilise manual and computer-"ased information retrieval

systems* critically evaluate their own and otherEs work* work independently or as part of a team*

and communicate effectively ver"ally or in writing to suit a range of audiences$ &uch transfera"le

skills will "e developed in a conteAt appropriate to the application of Computational luid

!ynamics to practical engineering pro"lems$

Curriculu Delivery

The research and teaching facilities within the !epartment of 'erospace &ciences are ideally suited

to teaching this course$ The academic staff from the 'erospace &ciences !epartment collectively

holds over years of eAperience in the application and development of C! to practical

engineering pro"lems$ Computational luid !ynamics is a ma#or research activity* "eing actively

pursued and applied to practical engineering disciplines throughout the !epartment of 'erospace

&ciences$

.roup /or

+any of the more application oriented course modules include a Fhands-onE practical component as

computational la"oratory8tutorial sessions$ !uring these FworkshopsE students will "e encouraged to

work together as teams* in order to "uild upon their com"ined skills* and more efficiently manage

their time when considering more compleA computational simulations$

)no$le*ge an* un*erstan*ing an* their application

&tudents will "e provided with su"#ect material such that they can demonstrate a systematic

application and a critical awareness of the topic$ The su"#ect material will "e delivered "y modulescovering the ma#or topic areas in Computational luid !ynamics$ The modules will reflect the

current state of the art at "oth applied and research level$


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The taught material provides the "asis for a sound understanding of the fundamental concepts of

C!* ena"ling students to critically evaluate current practice and the direction of future research

innovations$

The course will allow students to demonstrate originality in the application of their acuiredknowledge through a research pro#ect in a specific topic within the "road field of Computational

luid !ynamics$

Through the assessment of "oth the taught components and the research pro#ect the students will "e

a"le to demonstrate an independent learning a"ility and interest in advancing their knowledge and

understanding of the su"#ect$

Pro0le solving an* counication sills

&elected modules include group work as part of their computational la"oratory sessions$ These will

provide the opportunity for self-direction and originality in tackling and solving pro"lems* working

effectively "oth individually and in teams$

The students will "e eApected to present the progress of their research pro#ect through the course of

the academic programme on a num"er of occasions to their colleagues* academic staff and pro#ect

sponsors$ These will provide the opportunity to communicate clearly* "oth orally and in writing* to

specialist and non-specialist audiences$

1ther ualities an* transera0le sills

The course will provide an opportunity to use some of the leading commercial software in the field

of Computational luid !ynamics$ This will provide practical hands-on eAperience of the software

tools that students will "e eApected to use within industry$ n addition* students will "e reuired to

demonstrate the a"ility to utilise manual and computer-"ased information retrieval systems*

critically evaluate their own and otherEs work* work independently or as part of a team* and

communicate effectively ver"ally or in writing to suit a range of audiences$

!evelopment of generic skills such as communication* presentation* pro#ect management and team

working skills will "e encouraged throughout the course$ This will "e achieved "y delivery ofsessions offering guidance in such activities* which will then "e central to many of the assessment

methods as already indicated* allowing the students "oth to practice these skills and reflect on

feed"ack given as part of the assessment process$ n addition* 6ersonal !evelopment 6lanning

initiative will "e offered to all students in line with aculty oard policy$


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#ssessment Strategy and Methods

The assessment methods on the course will include the following and are designed to ena"le

students to achieve the learning outcomes for the course in the following ways7

/ritten Course$or &ssignents

&uch assignments will take a variety of formats* from traditional style essays and (computational)

la"oratory reports to presentation in the style of a poster or academic #ournal style paper$ &uch

assignments will demonstrate skills in information retrieval* literature citation* critical evaluation*

and written presentation skills to suit a variety of formats and audiences$ 6ro"lem solving activities

will also "e incorporated in such assignments$

1ral Presentations

n addition to an assessed oral presentation of the +&c thesis* some modules will include oral

presentation$ !evelopment of oral presentation skills throughout the course is seen as essentialpreparation for a research career that freuently involves oral dissemination of results$

.roup $or

Team working is seen as an essential component of the learning process* providing the opportunity

for students to demonstrate their a"ility to work and communicate within group environments*

further developing their own interpersonal skills$ Bhere appropriate this will "e incorporated into

the assessment for the individual modules$

/ritten Eaination

+ost modules will retain a component of written eAamination where appropriate$ This will

demonstrate the a"ility of the students to retain important information* and apply it to a given

scenario on demand and in an appropriate conteAt$

Dissertation (PgDip"

The !issertation will allow students to demonstrate their knowledge of specific aspects of

Computational luid !ynamics and will provide an opportunity for the further development of the

skills developed during coursework assignments in a manner that demonstrates independent

advancement of knowledge and understanding of the su"#ect$

3esearch Pro4ect an* Presentation 0y Thesis an* 1ral Eaination (MSc"

The @esearch 6ro#ect and the production of a thesis and oral presentation will eAtend those skills

developed during coursework assignments in a manner that will "e directly applica"le to the way in

which research is presented in industry and academia$ The research pro#ect will provide graduates

with eAperience of planning and conducting a post graduate + level research pro#ect* including the

a"ility to critically evaluate the eAisting research literature* to place the proposed research into a

theoretical and practical conteAt and to demonstrate their knowledge and understanding of

Computational luid !ynamics through an individual research pro#ect$

n all instances* assessment will "e "ased on the demonstration of appropriate knowledge* anappropriate mode of presentation* interpretation within the correct conteAt* critical discussion* and

the use and citation of appropriate sources of information$


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Sylla$us

Core +odules

The core part of the course consists of eleven su"#ect modules$ These are considered to represent

the necessary foundation su"#ect material$ The first > modules form the 6ostgraduate Certificate

ualification$

ntroduction to luid +echanics : ;eat Transfer


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ntroduction to Fluid Mechanics % &eat "ransfer

Class contact hours: 20

Private study hours:>0

"otal 'otional !earning &ours: 100Credit (ating: 10

#ssessment method: 'ssignment (18.) : %Aamination (28.)

Status: Compulsory

#im: To introduce the foundations of fluid mechanics* various formulations of governing euations

and their mathematical properties in order to esta"lish a firm "asis for other modules$

Sylla$us:

ntroduction to thermodynamics of gases and liuids

ntroduction to heat transfer

Compressi"le flows

ncompressi"le flows

!imensional analysis and similarity parameters

+athematics of governing euations* classification of 6!%s

+odel euations for fluid dynamics

ntroduction to unsta"le and tur"ulent flows

ntended !earning )utcomes:

5n successful completion of the module the student will "e a"le to7

!emonstrate a critical awareness of the governing euations of fluid mechanics : ;eat

transfer in various formulations for compressi"le and incompressi"le viscous and inviscid

flows$

%stimate the impact of different physical phenomena "ased on dimensional analysis$

nderstand mathematical properties of governing euations and "e a"le to critically

evaluate correct "oundary8initial value pro"lems for various flows$

!emonstrate the systematic application of the model euations and pro"lems used in C!$

!emonstrate a critical awareness of the concepts of sta"ility and tur"ulence$


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'umerical Methods for PDEs




#ssessment method: %Aamination (28.) 'ssignment (18.)

Status: Compulsory

#im: To introduce the "asics of numerical analysis and numerical methods for partial differential

and alge"raic euations$

Sylla$us:

ntroduction to numerical analysis

!iscretisation approaches7 finite difference* finite volume* finite element and spectral

methods


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'umerical Modelling for Steady % *nsteady ncompressi$le Flo+s




#ssessment method: 'ssignment (18.) : %Aamination (28.)

Status: Compulsory

#im: To understand the state-of-the-art C! methods used for computing incompressi"le flows in

science and engineering$

Sylla$us:

5verview of various formulations of the governing euations and numerical methods for

incompressi"le flows (linear : high-resolution methods)

&olution approaches7 pressure 6oisson* pro#ection (approAimate and eAact)* artificial

compressi"ility

Centred schemes

T=! and @iemann solvers for incompressi"le methods

&econd and high-order methods (time and spatial discretisation)



!emonstrate a critical awareness of alternative spatial and time discretisation methods forsolving fluid mechanics pro"lems governed "y the incompressi"le


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'umerical Modelling for Steady % *nsteady Compressi$le Flo+s

Class contact hours:20

Private Study &ours:>0

"otal 'otional !earning &ours:100

Credit (ating: 10

#ssessment Method: 'ssignment (18.) : %Aamination (28.)

Status:Compulsory

#im:To introduce "asic concepts in the discretisation and numerical solution of the hyper"olic

systems of partial differential euations descri"ing the flow of compressi"le fluids$

Sylla$us:

+athematical properties of hyper"olic systems

Conservation /aws


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Classical "ur$ulence Modelling


Private study hours: 0

"otal 'otional !earning &ours: 0Credit (ating:

#ssessment method: 'ssignment

Status: Compulsory

#im: To introduce students to closure methods for the


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#dvanced "ur$ulence Modelling and Simulation: !ES and D'S


Private study hours: 0


#ssessment method: %Aamination

Status: Compulsory

#im: To understand the principles of /arge %ddy &imulation (/%&) and !irect


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&igh Performance Computing for CFD


Private Study &ours:0


Credit (ating:

#ssessment Method: 'ssignment

Status:Compulsory

#im:To introduce students to the most advanced current computing capa"ilities and what these

offer over desktop environments

Sylla$us:

!esktop versus supercomputing

6arallel computing issues

6arallellisation approaches for distri"uted and shared memory systems$ +6 : 5pen+6

Current C! 6rocess ottlenecks

Bhole 6roduct 'pplications


5n successful completion of this course the student will "e a"le to7

!emonstrate a critical awareness of the range of high performance computing (hardware)

platforms availa"le for computational fluid dynamics simulations

!emonstrate the systematic application of the essential software eAtensions reuired for

parallel computing

@ecognise what application of high performance computing can achieve


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Managing *ncertainty in CFD: ,alidation and ,erification




Credit (ating: -


Status:Compulsory

#im:To introduce the concepts of error and uncertainty and how they relate to the credi"le

numerical solution of the partial differential euations encountered in computational fluid

mechanics$

Sylla$us:

The right answer7 consistency* sta"ility and convergence revisited

TaAonomies of error and uncertainty

6rinciples of code verification

ntroduction to the method of manufactured solutions

6rinciples of solution verification

@ole of systematic iterative and space-time grid convergence studies

@ichardson eAtrapolation

6rinciples of validation

&tatistical approaches to epistemic uncertainty

Construction of validation hierarchies



!iscriminate "etween error and uncertainty in computational simulations

@ecognise the potential sources of error and uncertainty in computational simulations

Critically evaluate the tools that are availa"le for the uantification of error and uncertainty

in computational simulations

e a"le to plan and perform credi"le computational simulations


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Grid Generation / C#D




Credit (ating:


Status: Compulsory

#im7 To introduce the concepts of grid generation* including structured and unstructured

approaches$ To provide hands-on eAperience using commercial C'! and grid generation packages$

Sylla$us7

?eometry +odelling and &urface ?rids

'lge"raic +esh ?eneration &tructured +eshes from 6artial !ifferential %uations

'utomatic generation of nstructured +eshes

+ulti"lock +esh ?eneration

nstructured grids "y !elaunay Triangulation

+esh 'daptation on nstructured ?rids

nstructured ?rids for =iscous lows

ntended !earning )utcomes7


!emonstrate a systematic understanding of the reuirements of grid generation for C!

applications

Critically evaluate alternative methods for efficiently generating computational grids

!emonstrate the systematic application of grid generation through structured single and

multi"lock grids with controlled grid uality "y employing commercial grid generation

packages

!emonstrate a systematic application of the generation of unstructured grids with controlled

grid uality within commercial meshing packages


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Data #nalysis. Data Fusion and Post Processing in CFD




Credit (ating:


Status:Compulsory

#im:To provide an introduction into the use of visualisation* data mining* and interactive human-

computer interfaces for the analysis and interpretation of C! simulations$ =isualisation can "e a

critical component in helping an engineer gain insight into the typically compleA optimiHation

pro"lems that arise in design$ Through the com"ination of visualisation and user interaction in

computer tools* the engineerDs insight can help guide the computer in the process of identifying

"etter* more effective designs$ =isualisation can also "e com"ined with automated data mining

techniues to improve optimiHation procedures$

To provide hands-on eAperience using "oth commercial and community developed visualisation

packages$

Sylla$us:

!ata interchange formats

nterpretation of data

?raphical representation of data

6arallel data visualisation

!ata mining* reduced order modelling* model identification and surrogate models

!ata fusion

=irtual reality visualisation



!emonstrate a systematic understanding of the alternative techniues for the visualisation

and interpretation of C! results

'pply commercial and community developed visualisation software packages to real C!

data

Critically evaluate the use of limited simulation data when making engineering decisions


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"he (ole of Eperimental Data in CFD




Credit (ating:


Status:Compulsory

#im:To provide an introduction into practical techniues for eAperimental data collection and its

su"seuent post-processing$ To contrast the resultant data representation with that o"tained through

C! simulation$

Sylla$us:

ntroduction to the measurement of tur"ulent flows

=elocity and pressure measurement "y aerodynamic pro"es

=elocity measurement "y hot-wires8hot-film

=elocity measurement "y optical techniues

Temperature measurement

&imple optical visualisation* &hadowgraph* &chlieren

/aser-"ased temperature and species measurements

/aser nduced luorescence

&kin friction* convective and radiative heat transfer

%rror analysis



!emonstrate a critical awareness of the alternative eAperimental methods availa"le for the

investigation of tur"ulent fluid flow

!emonstrate the a"ility to analyse and interpret uantitative and ualitative o"servations

!emonstrate a critical awareness of the relationship "etween the o"servations and theunderlying theory

Critically interpret eAperimental data and contrast with that o"tained from C! simulations


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CFD for #erospace #pplications


Private study hours:0


#ssessment method: 'ssignment

Status: 5ptional

#im: To understand the key features of C! methods used for simulating eAternal flows in

aeronautical and aerospace applications$

Sylla$us:

5verview of eAternal flow pro"lems in aeronautical and aerospace applications$

C! methods for su"sonic* supersonic and hypersonic regimes

C! methods for design

'pplication eAamples$



!emonstrate a critical awareness of the range of eAternal flow pro"lems in aeronautical and

aerospace applications in which C! methods can "e used

!emonstrate the systematic application of the key characteristics of C! methods used in

these sectors

Critically evaluate the limitations of these methods

!emonstrate a critical awareness of the current efforts made "y industry and academia forimproving the state-of-the-art methods in the a"ove applications


23/34

CFD for Micro and 'ano Flo+s




Credit (ating:


Status:5ptional

#im: To introduce micro- and nanoscale phenomena and C! methods used for micro and

nanoscale applications$

Sylla$us:

ntroduction to micro- and nanoscale phenomena

'reas of C! application in micro- and nanoscience

orderline continuum8molecular models and their domains of applica"ility

+ultiscale modelling


5n successful completion of this module* students will "e a"le to7

!emonstrate a critical awareness of the physical phenomena specific to flows at micro- andnano-scale

Critically evaluate applica"ility of continuum C! to a particular pro"lem

!emonstrate a critical awareness of the techniues that can "e used at the "orderline

"etween continuum and molecular levels$

!emonstrate the systematic application of the concepts and current state-of-the-art methods

involved in solving multiscale pro"lems


24/34

CFD for (otating 0ings




Credit (ating:


Status:5ptional

#im:To introduce the numerical approaches reuired to meet the challenges of flows associated

with rotating wings* including rotorcraft* propellers* wind tur"ines and tur"omachinery$

Sylla$us:

ntroduction to rotary wing aerodynamics

ormulation of the governing euations in a rotating inertial frame of reference


25/34

CFD for Multiphase Flo+s and Com$ustion




Credit (ating:


Status:5ptional

#im:To introduce physics of multiphase flows and com"ustion as well as numerical methods for

the simulation of multiphase and reacting flows$ To provide eAamples of applications$

Sylla$us:

6hysical insight into multiphase and reacting flows

?overning euations and models for multiphase flows : com"ustion


26/34

CFD for #utomotive Flo+s




Credit (ating:


Status:5ptional

#im:To show students how C! may "est "e applied to a range of automotive flows

Sylla$us:

'pplication 'reas for C! in automotive engineering

Choice of C! techniue appropriate to the pro"lem C! as a Complement to %Aperiment

;igh 6erformance Computing : !esign 5ptimisation

'nalysing @esults



Critically evaluate appropriate C! methods for application to different automotive flow

regimes

!emonstrate a critical awareness of how C! can complement wind tunnel evaluation of

vehicle models

'ssess the value and limitations of applying C! to vehicle designs


27/34

CFD for Environmental Flo+s




Credit (ating:


Status:5ptional

#im:To introduce the application of C! to environmental flows in ur"an* inland and coastal

environments

Sylla$us:

'tmospheric "oundary layer

6ollution dispersion in the atmosphere

@ivers* estuaries and tidal flows

&ediment transport

uilding and ur"an aerodynamics

ree-surface and shallow-water flows



Critically assess the physical phenomena of environmental flows

!emonstrate a critical awareness of the choices to made when selecting the appropriate C!

model for different flow regimes

!emonstrate a systematic application of the models within commercial C! packages


28/34

CFD for Fluid1Structure nteraction




Credit (ating:


Status:5ptional

#im: To introduce luid &tructure nteraction (&) models and associated computational

challenges$ To provide eAamples of & pro"lems arising in engineering applications$

Sylla$us:

ntroduction to &

6hysical models (Classical models* !istinction "etween linear and nonlinear models)* Time-

linearised models*


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(esearch Pro2ect 3MSc4




Credit (ating: 100

#ssessment Method: Thesis (>I) 5ral presentation (1I)

Status:Compulsory

#im:

To plan* conduct and report a programme of research into one or more aspects of Computational

luid !ynamics$

Through the @esearch 6ro#ect the students will "e a"le to apply and demonstrate their skills in

Computational luid !ynamics$ The production of a thesis and oral presentation will eAtend thoseskills developed during coursework assignments in a manner that will "e directly applica"le to the

way in which research is presented in industry and academia$

Sylla$us:

The research topic will "e defined in colla"oration with an allocated research pro#ect supervisor

from the academic teaching team$


5n successful completion of the research pro#ect the student will "e a"le to7

6repare a research pro#ect plan* with aims* o"#ectives* risk assessment and time line$

!emonstrate their knowledge and understanding of Computational luid !ynamics* either to an

applied engineering flow pro"lem or to the further development and refinement of the

underlying numerical and computational techniues$

'cuire* use and correctly reference information from a variety of sources* including "ooks*

#ournals and computer-"ased information retrieval systems$

Critically evaluate current research and8or methodologies$

Bork independently on an eAtended research pro#ect$

%ffectively communicate technical information in writing and in an oral presentation$


30/34

Dissertation 3PG Diploma4

Class contact hours:



Credit (ating: 20

#ssessment Method: Thesis (>I) 5ral presentation (1I)

Status:Compulsory

#im:

To plan* conduct and report upon a critical analysis of one or more aspects of Computational luid

!ynamics$

The production of the dissertation and oral presentation will eAtend those skills developed during

coursework assignments in a manner that will "e directly applica"le to the way in which research ispresented in industry and academia$

Sylla$us:

The dissertation topic will "e defined in colla"oration with an allocated supervisor from the

academic teaching team$


5n successful completion of the dissertation the student will "e a"le to7

Critically evaluate current research and8or methodologies$

'cuire* use and correctly reference information from a variety of sources* including "ooks*

#ournals and computer-"ased information retrieval systems$

Bork independently on the critical analysis of a research topic

!emonstrate their knowledge of specific aspects of Computational luid !ynamics through

a written dissertation

%ffectively communicate technical information in writing and in an oral presentation$


31/34

PDP S5ills Matri

Subject

Commu

nicationsw

ritten

Commu

nications-spo

ken

Prese

ntations(Ora

l)

Teamw

ork

Time

ana!ement

Proje

ctana!ement

Criti

cal"#aluation

Probl

emSol#in!

$umer

acy

Comput

er%iteracy

Introduction to Fluid Mechanics andHeat Transfer

x x x x x x x

Numerical Methods for PDEs x x x x x xNumerical Modelling for Steady andUnsteady Incomressi!le Flo"s

x x x x x x x x

Numerical Modelling for Steady andUnsteady #omressi!le Flo"s x x x x x x x x

#lassical Tur!ulence Modelling x x x x x x x$d%anced Tur!ulence Modelling andSimulation& 'ES and DNS

x x x x x x

High Performance #omuting for #FD x x x x x x x xManaging Uncertainty in Simulations&(alidation ) (erification

x x x x x x x x

*rid *eneration + #$D x x x x x x x xData $nalysis, Data Fusion and PostProcessing

x x x x x x x x

The -ole of Exerimental Data in #FD x x x x x x x x#FD for $erosace $lications x x x x x x x#FD for -otating .ings x x x x x x x x#FD for $utomoti%e Flo"s x x x x x x x x#FD for Fluid/Structure Interaction x x x x x x x x#FD for Multihase Flo"s and#om!ustion

x x x x x x x x

#FD for En%ironmental Flo"s x x x x x x x x#FD for Micro and Nano Flo"s x x x x x x-esearch Pro0ect x x x x x x x x x x


32/34

Credit "ariff

&chool$JJJJJJJJJJJ$$School of Engineering

Kualification and Course Title$JJMSc in Computational Fluid Dynamics 6778/9

Course !irectorJJJJJJJJDr E Shapiro !eputy !irectorJJJ$ Prof D Dri5a5is

The course consists of a core of 11 compulsory modules ( credits)* selected optional modules (2 credits) and anindependent research pro#ect$ 'ssessment of the modules will "y com"ination of assignments and eAaminations* and "y thesis

and oral eAamination for the research pro#ect$ n line with aculty policy* the pass mark for each component will "e 0IJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJ

J$$

+odule Title (a) Class

Contact;ours

(")

6rivate&tudy

;ours

Total 0 100 '18. %28. 10


33/34

&chool$JJJJJJJJJJJ$$School of Engineering

Kualification and Course Title$JJPG Certificate in Computational Fluid Dynamics 6778/9

Course !irectorJJJJJJJJDr E Shapiro !eputy !irectorJJJJJ$ Prof D Dri5a5is

The course consists of eight compulsory modules (30 credits)$ 'ssessment of the modules will "e "y com"ination ofassignments and eAaminations n line with aculty policy* the pass mark for each component will "e 0I

JJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJ$$

+odule Title (a) ClassContact

;ours

(")6rivate

&tudy

;ours

Total 0 100 '18. %28. >$.. 10

0 100 '18. %28. >$.. 10

0 100 '18. %28. >$.. 10

Classical Tur"ulence +odelling 10 0 0 '100 $1 'dvanced Tur"ulence +odelling and&imulation7 /%& and !


34/34

0 100 '18. %28. 13$3 10

0 100 '18. %28. 13$3 10

Classical Tur"ulence +odelling 10 0 0 '100 >$..

'dvanced Tur"ulence +odelling and

&imulation7 /%& and !$..

;igh 6erformance Computing forC!

10 0 0 '100 >$..

+anaging ncertainty in &imulations7=alidation : =erification

10 0 0 '100 >$..

Total 52 :% 7 5 7

Documents

Cranfield Univ CFD