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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]8/12/2019 Cranfield Univ CFD
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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
Class contact hours: 20
Private study hours:>0
"otal 'otional !earning &ours: 100Credit (ating: 10
#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
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 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)
ntended !earning )utcomes:
5n successful completion of the module the student will "e a"le to7
!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
Class contact hours: 10
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
Class contact hours: 10
Private study hours: 0
"otal 'otional !earning &ours: 0Credit (ating:
#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
Class contact hours:10
Private Study &ours:0
"otal 'otional !earning &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
ntended !earning )utcomes:
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
Class contact hours:10
Private Study &ours:0
"otal 'otional !earning &ours:0
Credit (ating: -
#ssessment Method: 'ssignment
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
ntended !earning )utcomes:
5n successful completion of this course the student will "e a"le to7
!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
Class contact hours:10
Private Study &ours:0
"otal 'otional !earning &ours:0
Credit (ating:
#ssessment Method: 'ssignment
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
5n successful completion of this course the student will "e a"le to7
!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
Class contact hours:10
Private Study &ours:0
"otal 'otional !earning &ours:0
Credit (ating:
#ssessment Method: 'ssignment
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
ntended !earning )utcomes:
5n successful completion of this course the student will "e a"le to7
!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
Class contact hours:10
Private Study &ours:0
"otal 'otional !earning &ours:0
Credit (ating:
#ssessment Method: 'ssignment
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
ntended !earning )utcomes:
5n successful completion of this course the student will "e a"le to7
!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
Class contact hours: 10
Private study hours:0
"otal 'otional !earning &ours: 0Credit (ating:
#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$
ntended !earning )utcomes:
5n successful completion of the module the student will "e a"le to7
!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
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CFD for Micro and 'ano Flo+s
Class contact hours:10
Private Study &ours:0
"otal 'otional !earning &ours:0
Credit (ating:
#ssessment Method: 'ssignment
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
ntended !earning )utcomes:
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
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CFD for (otating 0ings
Class contact hours:10
Private Study &ours:0
"otal 'otional !earning &ours:0
Credit (ating:
#ssessment Method: 'ssignment
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
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CFD for Multiphase Flo+s and Com$ustion
Class contact hours:10
Private Study &ours:0
"otal 'otional !earning &ours:0
Credit (ating:
#ssessment Method: 'ssignment
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
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CFD for #utomotive Flo+s
Class contact hours:10
Private Study &ours:0
"otal 'otional !earning &ours:0
Credit (ating:
#ssessment Method: 'ssignment
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
ntended !earning )utcomes:
5n successful completion of this course the student will "e a"le to7
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
8/12/2019 Cranfield Univ CFD
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CFD for Environmental Flo+s
Class contact hours:10
Private Study &ours:0
"otal 'otional !earning &ours:0
Credit (ating:
#ssessment Method: 'ssignment
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
ntended !earning )utcomes:
5n successful completion of this course the student will "e a"le to7
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
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CFD for Fluid1Structure nteraction
Class contact hours:10
Private Study &ours:0
"otal 'otional !earning &ours:0
Credit (ating:
#ssessment Method: 'ssignment
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
Class contact hours:10
Private Study &ours:990
"otal 'otional !earning &ours:1000
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$
ntended !earning )utcomes:
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$
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Dissertation 3PG Diploma4
Class contact hours:
Private Study &ours:19
"otal 'otional !earning &ours:200
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$
ntended !earning )utcomes:
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$
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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
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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$$
+odule Title (a) Class
Contact;ours
(")
6rivate&tudy
;ours
Total 0 100 '18. %28. 10
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&chool$JJJJJJJJJJJ$$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 !
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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