SlideShare uma empresa Scribd logo
1 de 20
TCN CAE Lecce 2005TCN CAE Lecce 2005
UNIVERSITY OF CATANIA
Department of Industrial and Mechanical
Engineering
Author: M. ALECCI
Co-Authors: G. CAMMARATA, G. PETRONE
NUMERICAL SIMULATION OF A
“SWIRLING JET” EXPANDING INSIDE
A COMBUSTION REACTOR
TCN CAE Lecce 2005TCN CAE Lecce 2005
PROBLEM FACED :
CFD
COMPUTATIONAL FLUID DYNAMIC
ADVANTAGES:
•Reduction of
planning time and
costs.
•Availability to study
systems for which the
experimentation is
difficult and
expensive.
•Availability to study
systems in conditions
of extreme safety .
DISADVANTAGES:
•Discretized models
present inevitable
PDE approximation .
•In the linear
systems solution
iterative methods are
used. These allow to
obtain only solutions
close to the exact
ones.
TCN CAE Lecce 2005TCN CAE Lecce 2005
OBJECTIVES OF THE STUDY:
FEM modelling of the “cold” fluid-dynamics
of a swirl burner.
Evaluation and analysis of the velocity
and pressure fields.
Comparison of the obtained
results with those coming from literature.
TCN CAE Lecce 2005TCN CAE Lecce 2005
SWIRL EFFECT:
““SSwirlwirl” is defined as the spiral rotational motion imparted to a fluid” is defined as the spiral rotational motion imparted to a fluid
upstream of an orifice. This spiral develops in a direction parallelupstream of an orifice. This spiral develops in a direction parallel
to the injection one.to the injection one.
Then, a tangential velocity component and high
pressure gradients (axial and radial) develop.
The low pressure zone inside the spiral core is
characterized by toroidal vortexes:
(Precessing Vortex Core phenomenon PVC)
This results (for strong degree of swirl) in the setting up of a
Reverse Flow Zone (RFZ)
where the fluid is recirculated towards the burner’s outlet.
1) Good mixing of reactants.
2) A decrease in flame temperature.
3) Flame stabilization.
4) High performance combustion for
several carboneous materials.
NOx
REDUCTION
TCN CAE Lecce 2005TCN CAE Lecce 2005
THE SWIRL BURNER:
The modelled burner is used in several industrial applications:
TCN CAE Lecce 2005TCN CAE Lecce 2005
The anterior side is characterized by the following devices:
Holes for the fuel injection
Duct for the flame
revelation probe Axial swirler
TCN CAE Lecce 2005TCN CAE Lecce 2005
CFD SOFTWARE : Comsol Multiphysics
TCN CAE Lecce 2005TCN CAE Lecce 2005
MODELLING STEPS:
Construction of the
geometrical model
Comsol Multiphysics module
choice and physics settings.
Meshing the model
Plotting e post-processing of the
results.
Problem solving
TCN CAE Lecce 2005TCN CAE Lecce 2005
EQUATIONS AND MODULE
CHOICE:
FLOW HYPOTHESES :
INCOMPRESSIBLE
(Ma<0.3)
TURBULENT
(Re>2000)
NEWTONIAN FLUID
(homogeneous gases mixture)
( ) ( )T
Fu u p uρ ν ν ρ
 ∇ = −∇ + ∇ + ∇ + 
r r r
g g
0u−∇ =
r
g
( ) i T
ij
j k
u
u k k
x
ν
τ ε ν
σ
  ∂
∇ = − +∇ + ∇  ÷
∂    
r
g g
( ) 2
1 1/ /i T
ij
j
u
u c k c k
x
ε ε
ε
ν
ε ε τ ε ν ε
σ
  ∂
∇ = × − + ∇ + ∇  ÷
∂    
r
g g
Momentum balance
Mass balance
(continuity)
Turbulent Kinetic
energy (K)
equationDissipative turbulent
(e) energy equation
K-e Turbulence module
TCN CAE Lecce 2005TCN CAE Lecce 2005
PHYSICS SETTINGS:
•Density: 1 kg/m3
•Kinematic viscosity: 1 E-5 m2
/s
•Volume forces neglected
Inlet flow with axial
velocity: u=20 m/s.
No slip conditions:
U=0.
Pressure: p=3
bar
SUBDOMAIN
SETTINGS:
BOUNDARY
CONDITIONS:
TCN CAE Lecce 2005TCN CAE Lecce 2005
COMPUTATIONAL GRID AND USED SOLVER
Used
solver:
DIRECT (UMFPACK), NON LINEAR
Finer mesh close to
the swirler zone
TCN CAE Lecce 2005TCN CAE Lecce 2005
PLOTTING E POST-PROCESSING OF THE
RESULTSCross sections: velocity field
It is possible to observe how in the first duct the fluid accelerates when
it goes through the swirler.
TCN CAE Lecce 2005TCN CAE Lecce 2005
Longitudinal section:
When the fluid enters the reactor, it expands with the classical
cone course, up to velocity of 1-2 m/s.
TCN CAE Lecce 2005TCN CAE Lecce 2005
Streamlines of the fluid:
Spiral motion inside the “core”, typical of
“swirling jets”.
TCN CAE Lecce 2005TCN CAE Lecce 2005
“SWIRL NUMBER” AND LITERATURE
RESULTS
( )
( )
3
2
12
tan
3 1
h
x h
R RG
S
G R R R
ϑ
α
 −
=  
−  
;“Swirl number”:
S<0.6S<0.6 WeakWeak
swirlswirl
0.6<S<10.6<S<1 MediumMedium
swirlswirl
S>1S>1 StrongStrong
SwirlSwirl
LDV
(Laser Doppler
Velocimetry)
Swirl number of the analyzed
system: S=0.77
TCN CAE Lecce 2005TCN CAE Lecce 2005
Radial distribution of the axial velocity
close to the burner’s outlet:
The negative values correspond to the RFZ development
according to the literature results.
TCN CAE Lecce 2005TCN CAE Lecce 2005
Iso-surfaces of axial velocity:
The bulb, located in the central core, corresponds to negative
values of axial velocity. That means the fluid is recirculated
towards the burner outlet section. (RFZ development)
TCN CAE Lecce 2005TCN CAE Lecce 2005
Radial distribution of the axial velocity
close to the burner’s outlet and 10 cm and
20 cm from it:
RFZ results stronger close to the burner’s outlet and it decreases as soon as
the fluid reaches a certain distance from it.
TCN CAE Lecce 2005TCN CAE Lecce 2005
CONCLUSIONS AND FURTHER
DEVELOPMENTS:
1. A three-dimensional simulation of a low NOx “swirl burner” is
reported in this study. The analysis has been focused on the swirl
device by the evaluation of the velocity and pressure fields of the
jet entering the combustion reactor.
2. The model reflects, with good approximation, the real behaviour
of the system, and finds a good correspondence with literature.
Thus, it may be used to simulate different operative conditions
(such as other fluids or other inlet velocities), avoiding expensive
experimentation.
3. In a further development the combustion reaction will be
introduced into the model, analyzing how it may influence the
velocity and pressure fields.
4. A complete thermal characterization of heat exchanges will
complete the entire model.
TCN CAE Lecce 2005TCN CAE Lecce 2005
ACNOWLEDGEMENTS:
This work has been developed at theThis work has been developed at the
DepartmentDepartment
of Industrial and Mechanical Engineering ofof Industrial and Mechanical Engineering of
thethe
University of CataniaUniversity of Catania
AUTHOR
REFERENCES:
marco.alecci@libero.it

Mais conteúdo relacionado

Mais procurados

Single Phase Gas Flow Correlations
Single Phase Gas Flow CorrelationsSingle Phase Gas Flow Correlations
Single Phase Gas Flow CorrelationsVijay Sarathy
 
Lecture 1 Introduction And Chapter 1 From Levenspiel
Lecture 1  Introduction And Chapter 1 From LevenspielLecture 1  Introduction And Chapter 1 From Levenspiel
Lecture 1 Introduction And Chapter 1 From LevenspielMuhammad Zafar Iqbal
 
Scion instruments transformer oil gas analyzer by sarana lab mandiri analitika
Scion instruments transformer oil gas analyzer by sarana lab mandiri analitikaScion instruments transformer oil gas analyzer by sarana lab mandiri analitika
Scion instruments transformer oil gas analyzer by sarana lab mandiri analitikaSaranaLaboratorium
 
Armfield Gas Absorption Column Experiment
Armfield Gas Absorption Column ExperimentArmfield Gas Absorption Column Experiment
Armfield Gas Absorption Column ExperimentHadeer Khalid
 
Design of-absorption-column
Design of-absorption-columnDesign of-absorption-column
Design of-absorption-columnAli Hassan
 
Reactor powerlaw.khairul anwar.unimas
Reactor powerlaw.khairul anwar.unimasReactor powerlaw.khairul anwar.unimas
Reactor powerlaw.khairul anwar.unimasEveryMiscellaneousTh
 
Mathematical modeling of continuous stirred tank reactor systems (cstr)
Mathematical modeling of continuous stirred tank reactor systems (cstr)Mathematical modeling of continuous stirred tank reactor systems (cstr)
Mathematical modeling of continuous stirred tank reactor systems (cstr)Karnav Rana
 
Flash Steam and Steam Condensates in Return Lines
Flash Steam and Steam Condensates in Return LinesFlash Steam and Steam Condensates in Return Lines
Flash Steam and Steam Condensates in Return LinesVijay Sarathy
 
Absorption stripping
Absorption strippingAbsorption stripping
Absorption strippingjogeman
 
Predicting Performance Curves of Centrifugal Pumps in the Absence of OEM Data
Predicting Performance Curves of Centrifugal Pumps in the Absence of OEM DataPredicting Performance Curves of Centrifugal Pumps in the Absence of OEM Data
Predicting Performance Curves of Centrifugal Pumps in the Absence of OEM DataVijay Sarathy
 
Auto catalytic reactions presentation
Auto catalytic reactions presentationAuto catalytic reactions presentation
Auto catalytic reactions presentationRai Amad Ud Din
 
Vacuum pump-sizing
Vacuum pump-sizingVacuum pump-sizing
Vacuum pump-sizingBrock Lesnar
 
Me1201 engineering thermodynamics uq - may june 2007
Me1201 engineering thermodynamics   uq -  may june 2007Me1201 engineering thermodynamics   uq -  may june 2007
Me1201 engineering thermodynamics uq - may june 2007BIBIN CHIDAMBARANATHAN
 
Me8391 engineering thermodynamics uq - nov dec 2018
Me8391 engineering thermodynamics   uq - nov dec 2018Me8391 engineering thermodynamics   uq - nov dec 2018
Me8391 engineering thermodynamics uq - nov dec 2018BIBIN CHIDAMBARANATHAN
 

Mais procurados (20)

conversion and reactor sizing
conversion and reactor sizingconversion and reactor sizing
conversion and reactor sizing
 
Single Phase Gas Flow Correlations
Single Phase Gas Flow CorrelationsSingle Phase Gas Flow Correlations
Single Phase Gas Flow Correlations
 
Lecture 1 Introduction And Chapter 1 From Levenspiel
Lecture 1  Introduction And Chapter 1 From LevenspielLecture 1  Introduction And Chapter 1 From Levenspiel
Lecture 1 Introduction And Chapter 1 From Levenspiel
 
Scion instruments transformer oil gas analyzer by sarana lab mandiri analitika
Scion instruments transformer oil gas analyzer by sarana lab mandiri analitikaScion instruments transformer oil gas analyzer by sarana lab mandiri analitika
Scion instruments transformer oil gas analyzer by sarana lab mandiri analitika
 
Armfield Gas Absorption Column Experiment
Armfield Gas Absorption Column ExperimentArmfield Gas Absorption Column Experiment
Armfield Gas Absorption Column Experiment
 
Reactor Design 3
Reactor Design 3Reactor Design 3
Reactor Design 3
 
Design of-absorption-column
Design of-absorption-columnDesign of-absorption-column
Design of-absorption-column
 
Reactor powerlaw.khairul anwar.unimas
Reactor powerlaw.khairul anwar.unimasReactor powerlaw.khairul anwar.unimas
Reactor powerlaw.khairul anwar.unimas
 
Mathematical modeling of continuous stirred tank reactor systems (cstr)
Mathematical modeling of continuous stirred tank reactor systems (cstr)Mathematical modeling of continuous stirred tank reactor systems (cstr)
Mathematical modeling of continuous stirred tank reactor systems (cstr)
 
Flash Steam and Steam Condensates in Return Lines
Flash Steam and Steam Condensates in Return LinesFlash Steam and Steam Condensates in Return Lines
Flash Steam and Steam Condensates in Return Lines
 
exp.9 flow meter demonstration
exp.9 flow meter demonstrationexp.9 flow meter demonstration
exp.9 flow meter demonstration
 
Reactor Design 9
Reactor Design 9Reactor Design 9
Reactor Design 9
 
Absorption stripping
Absorption strippingAbsorption stripping
Absorption stripping
 
Predicting Performance Curves of Centrifugal Pumps in the Absence of OEM Data
Predicting Performance Curves of Centrifugal Pumps in the Absence of OEM DataPredicting Performance Curves of Centrifugal Pumps in the Absence of OEM Data
Predicting Performance Curves of Centrifugal Pumps in the Absence of OEM Data
 
Auto catalytic reactions presentation
Auto catalytic reactions presentationAuto catalytic reactions presentation
Auto catalytic reactions presentation
 
Vacuum pump-sizing
Vacuum pump-sizingVacuum pump-sizing
Vacuum pump-sizing
 
Me1201 engineering thermodynamics uq - may june 2007
Me1201 engineering thermodynamics   uq -  may june 2007Me1201 engineering thermodynamics   uq -  may june 2007
Me1201 engineering thermodynamics uq - may june 2007
 
Fluid mechanics question bank
Fluid mechanics question bankFluid mechanics question bank
Fluid mechanics question bank
 
2.2 McCabe-Thiele method
2.2 McCabe-Thiele method2.2 McCabe-Thiele method
2.2 McCabe-Thiele method
 
Me8391 engineering thermodynamics uq - nov dec 2018
Me8391 engineering thermodynamics   uq - nov dec 2018Me8391 engineering thermodynamics   uq - nov dec 2018
Me8391 engineering thermodynamics uq - nov dec 2018
 

Destaque

Optimizing Bunsen burner Performance Using CFD Analysis
Optimizing Bunsen burner Performance Using CFD AnalysisOptimizing Bunsen burner Performance Using CFD Analysis
Optimizing Bunsen burner Performance Using CFD AnalysisIJMER
 
Internship_Report_Mazza (2)
Internship_Report_Mazza (2)Internship_Report_Mazza (2)
Internship_Report_Mazza (2)Marco Mazza
 
openFoam Hangout on Air #2 - Cloud Simulation, presentation by Dacolt
openFoam Hangout on Air #2 - Cloud Simulation, presentation by DacoltopenFoam Hangout on Air #2 - Cloud Simulation, presentation by Dacolt
openFoam Hangout on Air #2 - Cloud Simulation, presentation by DacoltJulien de Charentenay
 
OpenFOAM Programming Tips
OpenFOAM Programming TipsOpenFOAM Programming Tips
OpenFOAM Programming TipsFumiya Nozaki
 
Boundary Conditions in OpenFOAM
Boundary Conditions in OpenFOAMBoundary Conditions in OpenFOAM
Boundary Conditions in OpenFOAMFumiya Nozaki
 
Adjoint Shape Optimization using OpenFOAM
Adjoint Shape Optimization using OpenFOAMAdjoint Shape Optimization using OpenFOAM
Adjoint Shape Optimization using OpenFOAMFumiya Nozaki
 

Destaque (10)

Tocmmock
TocmmockTocmmock
Tocmmock
 
Dyplom-final Modification
Dyplom-final ModificationDyplom-final Modification
Dyplom-final Modification
 
Optimizing Bunsen burner Performance Using CFD Analysis
Optimizing Bunsen burner Performance Using CFD AnalysisOptimizing Bunsen burner Performance Using CFD Analysis
Optimizing Bunsen burner Performance Using CFD Analysis
 
Internship_Report_Mazza (2)
Internship_Report_Mazza (2)Internship_Report_Mazza (2)
Internship_Report_Mazza (2)
 
Master Diploma Thesis presentation-main
Master Diploma Thesis presentation-mainMaster Diploma Thesis presentation-main
Master Diploma Thesis presentation-main
 
OpenFOAM Training v5-1-en
OpenFOAM Training v5-1-enOpenFOAM Training v5-1-en
OpenFOAM Training v5-1-en
 
openFoam Hangout on Air #2 - Cloud Simulation, presentation by Dacolt
openFoam Hangout on Air #2 - Cloud Simulation, presentation by DacoltopenFoam Hangout on Air #2 - Cloud Simulation, presentation by Dacolt
openFoam Hangout on Air #2 - Cloud Simulation, presentation by Dacolt
 
OpenFOAM Programming Tips
OpenFOAM Programming TipsOpenFOAM Programming Tips
OpenFOAM Programming Tips
 
Boundary Conditions in OpenFOAM
Boundary Conditions in OpenFOAMBoundary Conditions in OpenFOAM
Boundary Conditions in OpenFOAM
 
Adjoint Shape Optimization using OpenFOAM
Adjoint Shape Optimization using OpenFOAMAdjoint Shape Optimization using OpenFOAM
Adjoint Shape Optimization using OpenFOAM
 

Semelhante a Numarical simulation of a &quot;Swirling jet&quot; expanding inside a combustion reactorTcn Cae 2005

Copper 2013 PY82_04-12-2013_1430 hrs (7).pdf
Copper 2013 PY82_04-12-2013_1430 hrs (7).pdfCopper 2013 PY82_04-12-2013_1430 hrs (7).pdf
Copper 2013 PY82_04-12-2013_1430 hrs (7).pdfleovoisin
 
LES Analysis on Confined Swirling Flow in a Gas Turbine Swirl Burner
LES Analysis  on Confined Swirling Flow in a Gas Turbine Swirl BurnerLES Analysis  on Confined Swirling Flow in a Gas Turbine Swirl Burner
LES Analysis on Confined Swirling Flow in a Gas Turbine Swirl BurnerROSHAN SAH
 
Numerical Simulation Slides for NBIL Presentation in Queens university
Numerical Simulation Slides for NBIL Presentation in Queens universityNumerical Simulation Slides for NBIL Presentation in Queens university
Numerical Simulation Slides for NBIL Presentation in Queens universityYashar Seyed Vahedein
 
An insight into spray pulsed reactor through mathematical modeling of catalyt...
An insight into spray pulsed reactor through mathematical modeling of catalyt...An insight into spray pulsed reactor through mathematical modeling of catalyt...
An insight into spray pulsed reactor through mathematical modeling of catalyt...Siluvai Antony Praveen
 
Combustion tutorial ( Eddy Break up Model) , CFD
Combustion tutorial ( Eddy Break up Model) , CFDCombustion tutorial ( Eddy Break up Model) , CFD
Combustion tutorial ( Eddy Break up Model) , CFDA.S.M. Abdul Hye
 
Design Of Fuel Cell Membrane Test Stand
Design Of Fuel Cell Membrane Test StandDesign Of Fuel Cell Membrane Test Stand
Design Of Fuel Cell Membrane Test Standrebekah827
 
M.E Thesis Presentation
M.E Thesis PresentationM.E Thesis Presentation
M.E Thesis PresentationSUMEET RAIKWAR
 
210496458 cfd-modelling-combustor
210496458 cfd-modelling-combustor210496458 cfd-modelling-combustor
210496458 cfd-modelling-combustormanojg1990
 
A literature review on Computational fluid dynamic simulation on Ranque Hilsc...
A literature review on Computational fluid dynamic simulation on Ranque Hilsc...A literature review on Computational fluid dynamic simulation on Ranque Hilsc...
A literature review on Computational fluid dynamic simulation on Ranque Hilsc...kush verma
 
Application of Parabolic Trough Collectorfor Reduction of Pressure Drop in Oi...
Application of Parabolic Trough Collectorfor Reduction of Pressure Drop in Oi...Application of Parabolic Trough Collectorfor Reduction of Pressure Drop in Oi...
Application of Parabolic Trough Collectorfor Reduction of Pressure Drop in Oi...IJMER
 
Numerical Analysis of Inlet Gas-Mixture Flow Rate Effects on Carbon Nanotube ...
Numerical Analysis of Inlet Gas-Mixture Flow Rate Effects on Carbon Nanotube ...Numerical Analysis of Inlet Gas-Mixture Flow Rate Effects on Carbon Nanotube ...
Numerical Analysis of Inlet Gas-Mixture Flow Rate Effects on Carbon Nanotube ...A Behzadmehr
 
3D Dynamic Simulation of a Flow Force Compensated Pressure Relief Valve
3D Dynamic Simulation of a Flow Force Compensated Pressure Relief Valve3D Dynamic Simulation of a Flow Force Compensated Pressure Relief Valve
3D Dynamic Simulation of a Flow Force Compensated Pressure Relief ValveMassimo Rundo
 

Semelhante a Numarical simulation of a &quot;Swirling jet&quot; expanding inside a combustion reactorTcn Cae 2005 (20)

Copper 2013 PY82_04-12-2013_1430 hrs (7).pdf
Copper 2013 PY82_04-12-2013_1430 hrs (7).pdfCopper 2013 PY82_04-12-2013_1430 hrs (7).pdf
Copper 2013 PY82_04-12-2013_1430 hrs (7).pdf
 
LES Analysis on Confined Swirling Flow in a Gas Turbine Swirl Burner
LES Analysis  on Confined Swirling Flow in a Gas Turbine Swirl BurnerLES Analysis  on Confined Swirling Flow in a Gas Turbine Swirl Burner
LES Analysis on Confined Swirling Flow in a Gas Turbine Swirl Burner
 
Understanding and predicting CO2 properties - Presentation by Richard Graham ...
Understanding and predicting CO2 properties - Presentation by Richard Graham ...Understanding and predicting CO2 properties - Presentation by Richard Graham ...
Understanding and predicting CO2 properties - Presentation by Richard Graham ...
 
CO2QUEST - The effect of impurities on compression and pipeline transportatio...
CO2QUEST - The effect of impurities on compression and pipeline transportatio...CO2QUEST - The effect of impurities on compression and pipeline transportatio...
CO2QUEST - The effect of impurities on compression and pipeline transportatio...
 
Understanding and Predicting CO2 Properties for CCS Transport, Richard Graham...
Understanding and Predicting CO2 Properties for CCS Transport, Richard Graham...Understanding and Predicting CO2 Properties for CCS Transport, Richard Graham...
Understanding and Predicting CO2 Properties for CCS Transport, Richard Graham...
 
Numerical Simulation Slides for NBIL Presentation in Queens university
Numerical Simulation Slides for NBIL Presentation in Queens universityNumerical Simulation Slides for NBIL Presentation in Queens university
Numerical Simulation Slides for NBIL Presentation in Queens university
 
An insight into spray pulsed reactor through mathematical modeling of catalyt...
An insight into spray pulsed reactor through mathematical modeling of catalyt...An insight into spray pulsed reactor through mathematical modeling of catalyt...
An insight into spray pulsed reactor through mathematical modeling of catalyt...
 
Combustion tutorial ( Eddy Break up Model) , CFD
Combustion tutorial ( Eddy Break up Model) , CFDCombustion tutorial ( Eddy Break up Model) , CFD
Combustion tutorial ( Eddy Break up Model) , CFD
 
Design Of Fuel Cell Membrane Test Stand
Design Of Fuel Cell Membrane Test StandDesign Of Fuel Cell Membrane Test Stand
Design Of Fuel Cell Membrane Test Stand
 
M.E Thesis Presentation
M.E Thesis PresentationM.E Thesis Presentation
M.E Thesis Presentation
 
210496458 cfd-modelling-combustor
210496458 cfd-modelling-combustor210496458 cfd-modelling-combustor
210496458 cfd-modelling-combustor
 
A literature review on Computational fluid dynamic simulation on Ranque Hilsc...
A literature review on Computational fluid dynamic simulation on Ranque Hilsc...A literature review on Computational fluid dynamic simulation on Ranque Hilsc...
A literature review on Computational fluid dynamic simulation on Ranque Hilsc...
 
Application of Parabolic Trough Collectorfor Reduction of Pressure Drop in Oi...
Application of Parabolic Trough Collectorfor Reduction of Pressure Drop in Oi...Application of Parabolic Trough Collectorfor Reduction of Pressure Drop in Oi...
Application of Parabolic Trough Collectorfor Reduction of Pressure Drop in Oi...
 
Numerical Analysis of Inlet Gas-Mixture Flow Rate Effects on Carbon Nanotube ...
Numerical Analysis of Inlet Gas-Mixture Flow Rate Effects on Carbon Nanotube ...Numerical Analysis of Inlet Gas-Mixture Flow Rate Effects on Carbon Nanotube ...
Numerical Analysis of Inlet Gas-Mixture Flow Rate Effects on Carbon Nanotube ...
 
Dop
DopDop
Dop
 
MOP063
MOP063MOP063
MOP063
 
mcl811-31.ppt
mcl811-31.pptmcl811-31.ppt
mcl811-31.ppt
 
Phase Behaviour and EoS Modelling of the Carbon Dioxide-Hydrogen System, Mart...
Phase Behaviour and EoS Modelling of the Carbon Dioxide-Hydrogen System, Mart...Phase Behaviour and EoS Modelling of the Carbon Dioxide-Hydrogen System, Mart...
Phase Behaviour and EoS Modelling of the Carbon Dioxide-Hydrogen System, Mart...
 
D012473845
D012473845D012473845
D012473845
 
3D Dynamic Simulation of a Flow Force Compensated Pressure Relief Valve
3D Dynamic Simulation of a Flow Force Compensated Pressure Relief Valve3D Dynamic Simulation of a Flow Force Compensated Pressure Relief Valve
3D Dynamic Simulation of a Flow Force Compensated Pressure Relief Valve
 

Último

From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfPrecisely
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxLoriGlavin3
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxLoriGlavin3
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxLoriGlavin3
 

Último (20)

From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptx
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
 

Numarical simulation of a &quot;Swirling jet&quot; expanding inside a combustion reactorTcn Cae 2005

  • 1. TCN CAE Lecce 2005TCN CAE Lecce 2005 UNIVERSITY OF CATANIA Department of Industrial and Mechanical Engineering Author: M. ALECCI Co-Authors: G. CAMMARATA, G. PETRONE NUMERICAL SIMULATION OF A “SWIRLING JET” EXPANDING INSIDE A COMBUSTION REACTOR
  • 2. TCN CAE Lecce 2005TCN CAE Lecce 2005 PROBLEM FACED : CFD COMPUTATIONAL FLUID DYNAMIC ADVANTAGES: •Reduction of planning time and costs. •Availability to study systems for which the experimentation is difficult and expensive. •Availability to study systems in conditions of extreme safety . DISADVANTAGES: •Discretized models present inevitable PDE approximation . •In the linear systems solution iterative methods are used. These allow to obtain only solutions close to the exact ones.
  • 3. TCN CAE Lecce 2005TCN CAE Lecce 2005 OBJECTIVES OF THE STUDY: FEM modelling of the “cold” fluid-dynamics of a swirl burner. Evaluation and analysis of the velocity and pressure fields. Comparison of the obtained results with those coming from literature.
  • 4. TCN CAE Lecce 2005TCN CAE Lecce 2005 SWIRL EFFECT: ““SSwirlwirl” is defined as the spiral rotational motion imparted to a fluid” is defined as the spiral rotational motion imparted to a fluid upstream of an orifice. This spiral develops in a direction parallelupstream of an orifice. This spiral develops in a direction parallel to the injection one.to the injection one. Then, a tangential velocity component and high pressure gradients (axial and radial) develop. The low pressure zone inside the spiral core is characterized by toroidal vortexes: (Precessing Vortex Core phenomenon PVC) This results (for strong degree of swirl) in the setting up of a Reverse Flow Zone (RFZ) where the fluid is recirculated towards the burner’s outlet. 1) Good mixing of reactants. 2) A decrease in flame temperature. 3) Flame stabilization. 4) High performance combustion for several carboneous materials. NOx REDUCTION
  • 5. TCN CAE Lecce 2005TCN CAE Lecce 2005 THE SWIRL BURNER: The modelled burner is used in several industrial applications:
  • 6. TCN CAE Lecce 2005TCN CAE Lecce 2005 The anterior side is characterized by the following devices: Holes for the fuel injection Duct for the flame revelation probe Axial swirler
  • 7. TCN CAE Lecce 2005TCN CAE Lecce 2005 CFD SOFTWARE : Comsol Multiphysics
  • 8. TCN CAE Lecce 2005TCN CAE Lecce 2005 MODELLING STEPS: Construction of the geometrical model Comsol Multiphysics module choice and physics settings. Meshing the model Plotting e post-processing of the results. Problem solving
  • 9. TCN CAE Lecce 2005TCN CAE Lecce 2005 EQUATIONS AND MODULE CHOICE: FLOW HYPOTHESES : INCOMPRESSIBLE (Ma<0.3) TURBULENT (Re>2000) NEWTONIAN FLUID (homogeneous gases mixture) ( ) ( )T Fu u p uρ ν ν ρ  ∇ = −∇ + ∇ + ∇ +  r r r g g 0u−∇ = r g ( ) i T ij j k u u k k x ν τ ε ν σ   ∂ ∇ = − +∇ + ∇  ÷ ∂     r g g ( ) 2 1 1/ /i T ij j u u c k c k x ε ε ε ν ε ε τ ε ν ε σ   ∂ ∇ = × − + ∇ + ∇  ÷ ∂     r g g Momentum balance Mass balance (continuity) Turbulent Kinetic energy (K) equationDissipative turbulent (e) energy equation K-e Turbulence module
  • 10. TCN CAE Lecce 2005TCN CAE Lecce 2005 PHYSICS SETTINGS: •Density: 1 kg/m3 •Kinematic viscosity: 1 E-5 m2 /s •Volume forces neglected Inlet flow with axial velocity: u=20 m/s. No slip conditions: U=0. Pressure: p=3 bar SUBDOMAIN SETTINGS: BOUNDARY CONDITIONS:
  • 11. TCN CAE Lecce 2005TCN CAE Lecce 2005 COMPUTATIONAL GRID AND USED SOLVER Used solver: DIRECT (UMFPACK), NON LINEAR Finer mesh close to the swirler zone
  • 12. TCN CAE Lecce 2005TCN CAE Lecce 2005 PLOTTING E POST-PROCESSING OF THE RESULTSCross sections: velocity field It is possible to observe how in the first duct the fluid accelerates when it goes through the swirler.
  • 13. TCN CAE Lecce 2005TCN CAE Lecce 2005 Longitudinal section: When the fluid enters the reactor, it expands with the classical cone course, up to velocity of 1-2 m/s.
  • 14. TCN CAE Lecce 2005TCN CAE Lecce 2005 Streamlines of the fluid: Spiral motion inside the “core”, typical of “swirling jets”.
  • 15. TCN CAE Lecce 2005TCN CAE Lecce 2005 “SWIRL NUMBER” AND LITERATURE RESULTS ( ) ( ) 3 2 12 tan 3 1 h x h R RG S G R R R ϑ α  − =   −   ;“Swirl number”: S<0.6S<0.6 WeakWeak swirlswirl 0.6<S<10.6<S<1 MediumMedium swirlswirl S>1S>1 StrongStrong SwirlSwirl LDV (Laser Doppler Velocimetry) Swirl number of the analyzed system: S=0.77
  • 16. TCN CAE Lecce 2005TCN CAE Lecce 2005 Radial distribution of the axial velocity close to the burner’s outlet: The negative values correspond to the RFZ development according to the literature results.
  • 17. TCN CAE Lecce 2005TCN CAE Lecce 2005 Iso-surfaces of axial velocity: The bulb, located in the central core, corresponds to negative values of axial velocity. That means the fluid is recirculated towards the burner outlet section. (RFZ development)
  • 18. TCN CAE Lecce 2005TCN CAE Lecce 2005 Radial distribution of the axial velocity close to the burner’s outlet and 10 cm and 20 cm from it: RFZ results stronger close to the burner’s outlet and it decreases as soon as the fluid reaches a certain distance from it.
  • 19. TCN CAE Lecce 2005TCN CAE Lecce 2005 CONCLUSIONS AND FURTHER DEVELOPMENTS: 1. A three-dimensional simulation of a low NOx “swirl burner” is reported in this study. The analysis has been focused on the swirl device by the evaluation of the velocity and pressure fields of the jet entering the combustion reactor. 2. The model reflects, with good approximation, the real behaviour of the system, and finds a good correspondence with literature. Thus, it may be used to simulate different operative conditions (such as other fluids or other inlet velocities), avoiding expensive experimentation. 3. In a further development the combustion reaction will be introduced into the model, analyzing how it may influence the velocity and pressure fields. 4. A complete thermal characterization of heat exchanges will complete the entire model.
  • 20. TCN CAE Lecce 2005TCN CAE Lecce 2005 ACNOWLEDGEMENTS: This work has been developed at theThis work has been developed at the DepartmentDepartment of Industrial and Mechanical Engineering ofof Industrial and Mechanical Engineering of thethe University of CataniaUniversity of Catania AUTHOR REFERENCES: marco.alecci@libero.it