simulation of different orifice geometries on premix...
TRANSCRIPT
SIMULATION OF DIFFERENT ORIFICE GEOMETRIES ON PREMIX INJECTOR
RONNY YII SHI CHIN
A thesis is submitted in
fulfillment of the requirement for the award of the
Degree of Master of Mechanical Engineering with Honours
Faculty of Mechanical and Manufacturing Engineering
Universiti Tun Hussein Onn Malaysia
JULY 2016
iii
SPECIAL GRATITUDES TO:
MY BELOVED PARENTS,
Yii Sing Kung
Sim Poh Luang
For their love, patience and support in my whole life
MY HONOURED SUPERVISOR,
Prof. Madya Dr. Amir bin Khalid
For his generosity, advices, trust, support, patience and kindly guide me to complete
this research
MY RESPECTED CO-SUPERVISOR,
Dr. Akmal Nizam bin Mohammed
For his guidance, advices and technical support
MY LOVELY BROTHERS,
Boon Chee Fui
Dr. Raymond Yii Shi Liang
Vincent Yii Shi Choon
For their advices, moral support, patience and encouragement in this study
AND ALL MY COLLEAGUES,
For their help and support direct and indirectly, effort and motivation in this study
Lastly, may God bless you all and thanks you very much.
iv
ACKNOWLEDGEMENT
I would like to express my sincere gratitude to all those who gave me the opportunity
and possibility to finish this thesis and my final year project especially to my beloved
supervisor, Prof. Madya Dr. Amir bin Khalid who has gave plenty of advises and
fully trusted on me for this given title and kindly guide me to complete this research.
Besides, a special thanks to my co-supervisor, Dr. Akmal Nizam bin Mohammed
who has given motivation and support especially in the aspect of experimental work
and thesis writing advises.
I would like to show my sincere appreciation to those who had contributed
directly and indirectly towards to the successful of this research project. I am deeply
indebted to Dr. Azwan bin Sapit, Dr. Hamidon bin Salleh and Dr. Mas Fawzi bin
Mohd Ali from Faculty of Mechanical and Manufacturing Engineering who had gave
a kindness helped, simulating suggestions and invaluable guidance especially in
experimental work, Fluid Mechanics, and Computational Fluid Dynamics.
Moreover, I would like to give my special thanks to a best friend, Ms. Lee
Yet Mian from Faculty of Technology Management and Business who had fully
supported, gave advices, and encouraged me all the time throughout the whole
process of this research work. Especially I am obliged to Mr. Mohamad Rasidi bin
Pairan, Mr. Rosman bin Tukiman, Mr. Latip bin Lambosi, Ms. Mirnah binti Suardi,
Mr. Dahrum bin Samsudin, and Ms. Adiba Rhaodah Andsaler binti Mohd Iskandar
Andrew Abdullah provided me invaluable information, assistance and motivation in
any means to make this research success.
I would like to convey my deepest thanks to my parents Mr. Yii Sing Kung
and Mdm. Sim Poh Luang, my brothers and family members who gave moral
support, encouragement, patience and love to enable me to complete this research.
v
ABSTRACT
The search for higher energy efficiency of industrial scale burners to obtain low
emission especially Nitrogen Oxides (NOx) and Particulate Matter (PM) has
demanded experimental studies that are complemented with Computational Fluid
Dynamics (CFD) simulations. Active and passive emission control methods are
common techniques in controlling emission. However, the aim of this research is
focused on the passive control techniques with a specifically modification on burner
orifice’s geometry and different fuel properties are used to study the prediction of
combustion modeling. Prediction is based on the nozzle orifice flow behaviour and
spray characteristics as well as fuel-air mixture formation in mixing chamber through
ANSYS FLUENT simulation. Multiphase of Volume of Fluid (VOF) and turbulence
model of Transition Shear Stress Transport (SST) are used throughout whole
simulation analysis. Other than that, Eulerian-Lagragian multiphase approach is used
for the steady simulations and spray generation. Furthermore, experimental spray
droplets sizes at selected locations from nozzle outlet are taken by direct
photography method and validated with the simulated droplets size. The rapid
mixing region is predicted at the area near to fuel and air inlet. Besides, the cavitation,
spray dispersion and Sauter Mean Diameter (SMD) are predicted increased when
L/D dropped from 2.5 to 1.667. Furthermore, cavitation is predicted reduced but
spray dispersion and SMD increased when orifice coefficient increased from K = 0 to
K = 20. Meanwhile, high viscosity and density of Crude palm oil (CPO) biodiesel
blends is believed to cause high cavitation inside orifice, wider spray dispersion and
high SMD.
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ABSTRAK
Kajian bagi menghasilkan tenaga yang efisien dan mempunyai tahap pelepasan asap
pencemaran Nitrogen Oksida (NOx) dan Particulate Matter (PM) yang rendah perlu
melibatkan kajian eksperimen dan Computational Fluid Dynamics (CFD) terutama
system yang berskala industri. Kaedah-kaedah aktif dan pasif untuk kawalan asap
pencemaran adalah merupakan teknik asas dalam mengawal kadar pencemaran asap
tersebut. Walau bagaimanapun, tujuan kajian ini hanya memandang berat kepada
kaedah kawalan pasif khususnya pengubahsuaian pada orifis geometri dengan
penggunaan pelbagai bahan api yang berbeza untuk mengkaji model pembakaran.
Model kajian ini adalah berdasarkan tingkah laku aliran dalam orifis dan ciri-ciri
semburan serta pra-campuran bahan api dengan udara dalam kebuk pergaulan
melalui simulasi ANSYS FLUENT. Multiphase Volume of Fluid (VOF) dan model
gelora bernama Peralihan SST (Transition Shear Stress Transport) telah digunakan
bagi simulasi dan analisis. Selain itu, jenis berbilangfasa Eulerian-Lagragian telah
digunakan untuk kajian kestabilan simulasi dan pelbagai pengenerasi semburan. Bagi
tujuan pengesahan model, saiz butiran semburan dikajikan melalui eksperimen dan
kaedah fotografi langsung di lokasi yang terpilih daripada orifis telah disahkan
dengan saiz butiran simulasi. Rantau pencampuran pesat diramalkan berlaku di
kawasan berdekat bahan api dan kemasukan udara. Selain itu, peronggaan,
penyebaran semburan dan SMD (Sauter Mean Diameter) diramalkan meningkat
apabila L/D menurun daripada 2.5 ke 1.667. Di samping itu, peronggaan diramalkan
berkurang tetapi penyebaran semburan dan SMD meningkat apabila pekali orifis
meningkat daripada K = 0 hingga K = 20. Sementara itu, kelikatan dan ketumpatan
yang tinggi untuk biodiesel minyak sawit campuran dengan diesel adalah dipercayai
sebagai punca menyebabkan peronggaan tinggi di dalam orifis, penyebaran
semburan lebih luas dan juga SMD tinggi.
vii
CONTENTS
TITLE i
DECLARATION ii
DEDICATION iii
ACKNOWLEDGEMENT iv
ABSTRACT v
ABSTRAK vi
CONTENTS vii
LIST OF TABLE xii
LIST OF FIGURE xiii
LIST OF SYMBOLS AND ABBREVIATIONS xix
LIST OF APPENDIX xxiii
CHAPETER 1 INTRODUCTION 1
1.1 Research background 1
1.2 Problem statement 3
1.3 Objective 4
1.4 Scope 5
1.5 Significance of study 5
CHAPTER 2 LITERATURE REVIEW 7
2.1 Introduction 7
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2.2 Premix injector 7
2.3 Fuel-air premixing 9
2.4 Effects of swirling flow 10
2.5 Cavitation 14
2.6 Nozzle orifice geometries of the
injector 16
2.6.1 Nozzle orifice diameter 16
2.6.2 Nozzle hope shape 20
2.6.3 Conical nozzle 20
2.6.4 Cylindrical nozzle 23
2.7 Influences of the hole shaped nozzles 25
2.8 Spray characteristics 25
2.8.1 Spray Penetration 27
2.8.2 Spray angle and dispersion 28
2.8.3 Spray droplets 29
2.8.4 Sauter mean diameter 30
2.9 Influence of fuel on spray
characteristics 32
2.10 Spray analysis 34
2.11 Computational Fluid
Dynamics (CFD) 38
2.12 Mesh density 38
2.13 Turbulence model 39
ix
2.14 Eulerian-Lagragian multiphase
approach result 41
2.15 Crude palm oil 42
2.15.1 Properties of CPO 43
2.15.2 Palm oil biodiesel (POB) 46
2.15.3 Results of previous researches
about Crude Palm Oil (CPO) 46
CHAPTER 3 METHODOLOGY 51
3.1 Introduction 51
3.2 Experiment setup 53
3.3 Image processing 55
3.3.1 Image J 55
3.4 Design and geometry of premix injector
and spray chamber 55
3.5 Grids 57
3.6 Boundary condition 58
3.7 Simulations 60
3.8 Procedure for a complete simulation by
using ANSYS Fluent 61
3.9 Flow rate calculation 62
3.10 Grid independency study 62
CHAPTER 4 RESULT AND DISCUSSION 64
4.0 Introduction 64
4.1 Experimental droplets size analysis 74
4.1.1 Measurement areas selection 65
x
4.2 Image processing analysis 67
4.3 Thresholding adjustment 67
4.4 Model selection and validation 68
4.5 Simulation analysis of rapid mixing
in the mixing chamber of a premix
swirl injector 73
4.5.1 Introduction of rapid swirl
injector 73
4.5.2 Internal swirling mixing
analysis 73
4.5.3 Velocity profile formation 75
4.5.4 Volume fraction between air
and fuel phase mixing 79
4.5.5 Summary result of rapid mixing
in the mixing chamber 83
4.6 Prediction of cavitation and spray
behaviour in single orifice with different
nozzle characteristics of the premix injector 83
4.6.1 Influence of ratio orifice’s length
to diameter (L/D) on flow and
cavitation 84
4.6.2 Spray performances of different
ratio of orifice’s length to
orifice’s diameter 94
4.6.3 Influence of nozzle orifice
coefficient (K) on the flow
and cavitation 103
4.6.4 Spray performances of nozzle
orifices with different
orifice coefficient, K 111
4.6.5 Summary of the orifice
coefficient analysis 117
xi
4.7 Prediction of cavitation and spray
characteristics with different fuel
properties used 118
4.7.1 Static pressure distribution along
the orifice with diesel and biodiesel
blends, B10 and B20 118
4.7.2 Radial velocity at orifice outlet
for diesel and biodiesel blends,
B10 and B20 121
4.7.3 Turbulence kinetic energy at
orifice outlet for diesel fuel and
biodiesel blends, B10 and B20 123
4.7.4 Diesel phase volume fraction at
orifice outlet for diesel fuel and
biodiesel blends, B10 and B20 124
4.7.5 Spray performances of different
fuel properties; Diesel fuel and
biodiesel CPO blends, B10 and B20 125
4.7.6 Summary of the different fuel
properties used analysis 130
CHAPTER 5 CONCLUSION AND RECOMMENDATION 132
5.1 Conclusion 132
5.2 Recommendation 135
REFERENCES 136
APPENDIX 149
xii
LIST OF TABLES
2.1 Dimensional specifications of the nozzle 17
2.2 The physical characteristics of CPO, RBD
and WCO with ASTM standard 44
2.3 The properties of STD and bleanding ratio
biodiesel at ambient temperature 44
2.4 Properties of blending ratio biodiesel at
various temperature 45
2.5 Fuel properties of RBDPO blends and
Diesel Fuel 45
2.6 Properties of diesel fuel and and palm
oil biodiesel (POB) 46
3.1 Summaries of boundary conditions
and parameters 53
3.2 Input values of air and diesel fuel, biodiesel B10
and B20 mass flow rate at the inlet of premix
injector 61
3.3 Fuel properties of CPO blends and
standard diesel 61
4.1 Calculated percentage differences
between simulated droplets size with
different drag coefficients and
experimental droplets size 71
4.2 Detailed information of different nozzle
orifice designs 84
4.3 Detailed information of different nozzle’s
orifice coefficients designs 103
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LIST OF FIGURES
2.1 Fuel-water internally rapid mixing type of
injector 8
2.2 Axial velocity distribution and stream lines
(m/s) 11
2.3 The velocity vector of (a) standard k – ε,
and (b) realizable k – ε turbulence model 12
2.4 Streamline patterns for two different swirling
numbers 13
2.5 Contour of vorticity magnitude for two swirling
numbers 13
2.6 Iso-vorticity surface for two swirling numbers 14
2.7 Cavitation formation inside nozzle 15
2.8 Liquid velocity generated by two different
nozzle diameters with different L/D ratio
(a) D = 3 mm and (b) D = 1.5 mm 18
2.9 Injection pressure (bar) against spray angle (°) 18
2.10 Nozzle flow characteristics under different L/D:
(a) mass flow rate and flow coefficient;(b) average
volume of vapour; and (c) average velocity at outlet
and average turbulent kinetic energy 19
2.11 Types of nozzle hole shape 21
2.12 Schematic diagram of the cylindrical nozzle
head and exit 23
2.13 The graph of discharge coefficient versus
the Reynolds number 24
2.14 The effects of increasing flow rate on spray
characteristics for swirl injector 26
2.15 Three dimensional spray flow field and droplets 27
2.16 The graph of penetration distance (m) against
various biofuel blends 27
2.17 Spray penetration, angle and area of diesel-water
emulsified against various equivalent ratio 28
xiv
2.18 Droplets density distribution for dispersion
prediction with diesel and biodiesel fuel 29
2.19 The graph of particles size of droplets
against biofuel blends 30
2.20 A typical spray pattern from spray nozzle 30
2.21 The graph of fuel influences to the spray angle 32
2.22 Pattern of diesel fuel spray 32
2.23 Pattern of EMW20 fuel spray 33
2.24 Predicted SMD for simulation and empirical
against various biodiesel blends with diesel 34
2.25 The graph of spray tip penetration against time 35
2.26 The radial profiles of the normalised Sauter mean
diameter D32, the normalised volume flux V,
and the normalised droplet density Dρ 36
2.27 SMD at six different axial locations 37
2.28 Radial profile particle velocity at three
different axial locations 38
2.29 Different mesh sensitivity in the central
cross section of hole 39
2.30 Turbulence flow structure 40
2.31 Energy cascade 40
2.32 Dynamic viscosity against the temperature
for pure CPO 45
2.33 Particle sizes of PM (a) and particle-bound
PAHs (b) by using PB0, PB30 and PB40 47
2.34 Projected Area comparison 48
2.35 The storage duration versus viscosity and
CO emission 49
2.36 Spray SMD at downstream 40mm with various
Blends 50
3.1 Methodology flowchart 52
3.2 Schematic diagram of experimental setup 54
3.3 Detail dimensions of premix injector mixing
chamber and orifices 56
3.4 Computational domain geometry of mixing
chamber for premix injector 56
3.5 Meshing of premix injector and its spray chamber 57
3.6 Meshing of premix injector with nozzle
connected to the spray chamber 58
xv
3.7 Wall set in the model geometry 59
3.8 Inlet mass flow of the premix injector 59
3.9 Pressure outlet of the model 60
3.10 Velocity profile along the mixing chamber
simulated by different grid sizes 63
4.0 Spray image at equivalent ratio equal to 1.0 with
the reference scale 65
4.1 Measurement location of 20 mm and 30 mm
from the orifice injector 66
4.2 Selected measurement area for droplets
size analysis 66
4.3 Image cropped at 20 mm location with
threshold intensity adjusted 68
4.4 Image cropped at 30 mm location with threshold
intensity adjusted 68
4.5 Straight line drawn on measurement location of
(a) 20 mm and (b) 30 mm 69
4.6 Comparison between simulation and experimental
at measurement location of 20 mm 70
4.7 Comparison between simulation and experimental
at measurement location of 30 mm 70
4.8 Internal computational domain of mixing chamber
with swirler and four different labels of
measurement areas 75
4.9 Tangential velocity profile for four different
measurement areas along the diameter of
mixing chamber 76
4.10 Velocity vector vortex structure with scales
at measurements area (a) y = 10mm and
(b) y = 20mm 77
4.11 Velocity vector vortex structure with scales
at measurements area (c) y = 30mm and
(d) y = 40mm 78
4.12 3-D velocity streamline distribution in the
mixing chamber with coloured scale 79
4.13 Diesel fuel phase volume fraction at different
measurement areas along the mixing chamber 80
4.14 Contour of diesel fuel phase volume fraction
at measurement areas of (a) y = 7.6mm and
(b) y = 8mm 81
4.15 Contour of diesel fuel phase volume fraction
xvi
at measurement areas of (c) y = 9mm and
(d) y = 10mm 82
4.16 Contour of diesel fuel phase volume fraction
at measurement areas (e) y = 13mm 83
4.17 Static pressure distribution along the orifice
(a) L/D = 2.5, (b) L/D = 2 and (c) L/D = 1.667 86
4.18 Static pressure distribution against the orifice
length for three different L/D designs 87
4.19 Radial velocity against normalize radius of
orifice outlet 88
4.20 Contours of velocity along the orifices of
(a) L/D = 2.5, (b) L/D = 2 and (c) L/D = 1.667 89
4.21 Contours of velocity distribution on nozzle outlet
for (a) L/D = 2.5, (b) L/D = 2 and
(c) L/D = 1.667 90
4.22 Turbulence kinetic energy at orifice outlet for
three different L/D orifice designs 91
4.23 Diesel fuel phase volume fraction at orifice
outlet for three different L/D orifices 93
4.24 Contours of diesel fuel phase volume fraction
at orifice outlet of (a) L/D = 2.5, (b) L/D = 2 and
(c) L/D = 1.667 94
4.25 Mass density of droplets at 20 mm downstream
from orifice outlet 96
4.26 Mass density of droplets at 30 mm downstream
from orifice outlet 96
4.27 Spray breakup and atomization 98
4.28 Prediction of spray droplets density for three
different orifices (a) L/D = 2.5, (b) L/D = 2 and
(c) L/D = 1.667 99
4.29 Prediction SMD of spray development at
downstream 20 mm from orifice outlet 100
4.30 Prediction SMD of spray development at
Downstream 30 mm from orifice outlet 100
4.31 Prediction of SMD layout with coloured
scale (in unit m) for three different orifices of
(a) L/D = 2.5, (b) L/D = 2 and (c) L/D = 1.667 102
4.32 Static pressure distribution along the orifice of
(a) K = 0, (b) K = 10 and (c) K = 20 104
4.33 The graph of static pressure distribution
throughout the orifice for three different orifice
coefficient’s designs 105
xvii
4.34 Radial velocity at orifice outlet for three
different orifice coefficient designs 106
4.35 Contours of velocity inside the orifice with
different orifice coefficients (a) K = 0, (b) K = 10
and (c) K = 20 107
4.36 Velocity contours at orifice outlet for orifice
coefficient (a) K = 0, (b) = K = 10 and (c) K =20 108
4.37 Turbulence kinetic energy at orifice outlet for
different orifice coefficients 109
4.38 Diesel phase volume fraction at orifice outlet
for orifices with different orifice coefficients 111
4.39 Spray droplets density at measurement location
of 20 mm downstream from orifice outlet for
three different orifice coefficients 113
4.40 Spray droplets density at measurement location
of 30 mm downstream from orifice outlet for
three different orifice coefficients 114
4.41 Sauter mean diameter of spray droplets at
measurement location of 20 mm downstream
away from orifice outlet 115
4.42 Sauter mean diameter of spray droplets at
measurement location of 30 mm downstream
away from orifice outlet 116
4.43 Static pressure distribution along the orifice
for diesel fuel and biodiesel blends of B10 and B20 119
4.44 Two dimensional static pressure contours for
(a) diesel fuel, (b) biodiesel blends, B10 and
(c) biodiesel blends, B20 120
4.45 Radial velocity at orifice outlet for diesel and
biodiesel blends, B10 and B20 121
4.46 Two dimensional velocity contours in the orifice
for (a) diesel fuel, (b) biodiesel blends B10 and
(c) biodiesel blends B20 122
4.47 Turbulence kinetic energy at orifice outlet for
diesel fuel and biodiesel blends B10 and B20 123
4.48 Diesel phase volume fraction at orifice outlet
for diesel fuel and biodiesel blends, B10 and B20 124
4.49 Spray droplets density at downstream 20 mm
away from orifice outlet for diesel fuel and
biodiesel blends, B10 and B20 126
4.50 Spray droplets density at downstream 30 mm
away from orifice outlet for diesel fuel and
xviii
biodiesel blends, B10 and B20 127
4.51 Droplets Sauter mean diameter at downstream
20mm away from orifice outlet for diesel fuel
and biodiesel CPO blends, B10 and B20 128
4.52 Droplets Sauter mean diameter at downstream
30mm away from orifice outlet for diesel fuel
and biodiesel CPO blends, B10 and B20 130
xix
LIST OF SYMBOLS AND ABBREVIATIONS
m - Metre
s - Seconds
K - Kelvin
°C - Celsius
% - Percentage
cm - Centimetre
mm - Millimetre
µm - Micrometre
ms - milliseconds
cP - Centipoise
t/h - Tonnes per hour
m/s - Metre per seconds
MWe - Megawatt electrical
MPa - Mega pascal
bar - Pressure Bar
cST - Centistokes
ppm - Parts per million
mPas - Millipascal seconds
kg/liter - Kilogram per litre
kJ/kg - Kilojoules per kilogram
kg/s - Kilogram per seconds
kg/m3 - Kilogram per cubic metres
g/cm3 - Gram per cubic centimetres
ɸ - Equivalent ratio
xx
- Diameter
D - Diameter
L - Length
V - Normalised volume flux
A - Area
Q - Volume flow rate
K - Orifice coefficient
Kcrit - Critical cavitation number
- Mass flow rate
mL - Milliliter
ρfuel - Density of fuel
CN - Cavitation Number
MW - Molecular weight
DM - Discrete Multicomponent
Pi - Injection pressure
Pb - Ambient pressure
Pvapor - Vaporization pressure
Pv - Vapour pressure
Re - Reynolds Number
Vexit - Averaged flow velocity of nozzle exit
μfuel - Viscosity of fuel
Cd - Discharge coefficient
Ath - Cross sectional area
Ca - Area contraction coefficient
Cv - Velocity coefficient
w/o - Water in oil
D32 - Symbol represent Sauter mean diameter
Dρ - Normalised droplet density
i - Size range considered
xxi
Ni - Number of drops in size range i
Di - Middle diameter of size range i
k – ε - K-epsilon
AFstoich - Air-fuel ratio stoichiometry
AFexp - Air-fuel ratio experiment
L/D - Ratio orifice’s length to diameter
r/D - Ratio of orifice’s radius to diameter
PM - Particulate matter
CO2 - Carbon dioxide
CO - Carbon monoxide
HC - Hydrocarbon
NOx - Nitrogen oxide
NO - Nitrogen monoxide
R&D - Research and development
SOx - Sulphur oxide
Vol - Volume
CTM - Continuous Thermodynamics
OFA - Over air flow
ISF - Interaction shear flows
CFD - Computational Fluid Dynamics
CRZ - Central Recirculation Zone
DNS - Direct Numerical Simulation
SST - Shear Stress Transport
GUI - Graphical User Interface
LSB - Low-swirl burner
LES - Large-eddy-simulation
PIV - Particle image velocimetry
PVC - Precessing vortex core
SCR - Selective catalytic reduction
xxii
SNCR - Selective non-catalytic reduction
RANS - Reynolds-Averaged Navier-Stokes
DSLR - Digital Single Lens Reflex
VOF - Volume of fluid
TKE - Turbulence kinetic energy
SMD - Sauter mean diameter
TAB - Taylor Analogy Breakup
ETAB - Enhanced Taylor Analogy Breakup
WME - Waste cooking oil methyl esters
EME - Emulsified WME
POB - Palm oil biodiesel
CDF - Commercial Diesel Fuel
MCPO - Mixed crude palm oil
PB0 - Palm oil blends 0 vol% with diesel
PB30 - Palm oil blends 30 vol% with diesel
PB40 - Palm oil blends 40 vol% with diesel
MMAD - Mass median aerodynamic diameters
Dg-aMCPO - Degummed-deacidified mixed crude palm oil
RBDPO - Refined, Bleached and Deodorized Palm oil
CPO - Crude Palm Oil
B10 - Biodiesel 10% blends with 90% diesel fuel
B20 - Biodiesel 20% blends with 80% diesel fuel
xxiii
LIST OF APPENDIX
APPENDIX TITLE PAGE
A Sample steps of using image J 150
B Calculation for diesel fuel 155
C Calculation for Biodiesel CPO
blends, B10 and B20 157
D Detail drawing of the injector’s
nozzle 161
E Detail drawing of the injector’s
swirler 162
F Spray droplets density for different
orifice coefficient, K 163
G Spray droplets SMD for different
orifice coefficient, K 164
H Spray droplets density for
different fuel properties, diesel fuel
and biodiesel CPO blends, B10
and B20 165
I Spray droplets SMD for different
fuel properties, diesel fuel and
biodiesel CPO blends, B10 and B20 166
CHAPTER 1
INTRODUCTION
1.1 Research background
The global environmental change and global warming effects have been become a
famous issue and also the major interest in the world. In order to face the new
challenges at coming new century, the progress of the reduction of harmful gases and
improvement of burner system needs to be priority [1]. The burner system is an
unique, patented and higher-efficiency system that works with a specially designed
oil burner to create ultra-efficient combustion that reduces oil use and greenhouse
gases and other harmful emissions. The search for higher energy efficiency of
industrial scale burners to obtain low emission especially Nitrogen Oxides (NOx) has
demanded experimental studies that are complemented with Computational Fluid
Dynamics simulations. Many methods have been developed to reduce emission,
while these emission control methods can be divided into two major categories,
which are active and passive controls method. Active control techniques include
flame characteristics modification by external influence on the combustion system.
Modification of flame properties by acoustic forcing or magnetic fields are examples
of active control methods. Moreover, passive control techniques involve adjustments
of flame dynamics by changing the initial conditions of the combustion system such
as different fuels selection, by premixing fuel and oxidizer in different proportions,
and by modifying the burner geometry [2]. However, the main focus in this study is
on the passive control techniques which is investigate the effects of different fuel
properties used and specific modification on premix injector.
Nitrogen Oxides (NOx) have many unfavourable environmental effects such
as ozone hole, acid rain, and photochemical smog, which are international concern.
Besides, many governments and organisations who responsible for
2
environmental protection had established various stringent regulations and
legislations for emissions control. However, great attention on well regulate
combustion modeling during last 20 years [3], which can effectively control the
emission produced from burner combustion. Furthermore, many technologies have
been innovated for controlling emissions from burner, such as low-NOx burner, over
air flow (OFA), swirl burner, selective non-catalytic reduction (SNCR) and selective
catalytic reduction (SCR) [4]. Huang et al. conducted a study on the effect of OFA
on the air flow and coal combustion in a 670 t/h wall-fired boiler to obtain the
optimised OFA parameters and arrangements [5]. They found that the NOx
concentration at the outlet of the furnace is reduced. Zeng et al. investigated the
combustion characteristics and NOx emissions for a 300 MWe utility boiler and they
found a nonlinear relationship between NOx emission and outer secondary-air vane
angles [6]. Hao Zhou et al. conducted a numerical simulation about optimisation of a
single low-NOx swirl burner and analysed the effects of the size and structure of the
primary air pipe of the swirl burner on flow, combustion, and NOx formation. They
found a reduction of 39.8% in NOx emission [4].
Nevertheless, great interest on investigating the interaction of turbulence
combustion and its consequences, including deciding which turbulence model is the
most appropriate depending on the specificity of the application. The burner orifice
modelling usually does not take part of the analysis [3]. However, the geometrical
burner is one of the method in controlling emission and practically playing a
significant role on performance of spray combustion, atomization and formation of
fuel-air mixture in order to improve combustion performance, and decrease some
pollutant products from burner system [1, 3]. Few researchers had concluded that the
burner geometry contribution to the refinement of combustion and emission
reduction. Praveen Hariharan et al. conducted an experimental study on turbulent
hydrogen flames from two different geometrical burners, circular and elliptic burners
with varying degrees of premixedness (diffusion, fuelrich, stoichiometric, and fuel-
lean) [2]. Graham E. Ballachey and Matthew R. Johnson investigated the effects of
burner geometry, swirl, and fuel composition in prediction of blowoff in a fully
controllable low-swirl burner burning alternative fuels. They used three different sets
of inner/outer low-swirl burner (LSB) nozzles, exit diameters of 38.1 mm, 50.8 mm,
and 76.2 mm and constant inner to outer diameter ratio of 0.8 to investigate scaling
effects [7]. B. Miller studied the effect of fuel quality on burner design and ignition
3
stability in reducing emissions, specifically NOx emissions [8]. Therefore, the
geometrical burner orifice is particularly influences to the combustion performance
and emission reduction. Further investigation on premix swirl burner orifice is
valuable and precious in order to minimise the emission production and it is fewer
found in previous literature.
Apart from that, growing population and overuse of fossil fuel is also a
critical problem nowadays. Improvement of technology had led to a greater use of
hydrocarbon fuels. Thus, it is necessitates the search for alternative oil as energy
source to replace or reduce the usage of hydrocarbon fuels [9, 10]. Besides,
renewable energy sources are greatly developed all around the world due to attractive
oil prices and limited greenhouse gas emissions. Biodiesel is an alternative fuel with
esters of vegetable oils and animal fats act as the renewable sources to made
biodiesel [9, 11]. Biodiesel has more beneficial combustion emission profile
compared to the petroleum-based diesel such as low emissions of particulate matter,
unburned hydrocarbons and carbon monoxide (CO). Photosynthesis process has
taken part to recycle the carbon dioxide produced by the combustion of biodiesel in
order to minimize the influences of biodiesel combustion on the greenhouse effect
[12-14].
However, many experiments have been conducted in respect of combustion
and emissions using biodiesel, mainly by the experimental standpoint. Minor
frequent detailed studies on burner injection and spray atomization characteristics in
previous literature for biofuels [15].
1.2 Problem statement
High levels of emission emitted from combustion are harmful to our environment
and even pose a threat to human respiratory systems. Lower and reduce the emission
levels is responsible to every aspects of department and also human being.
Geometrical burner injector orifice had mentioned as an important parameter in
controlling combustion with linear relationship of emission produced, especially NOx.
However, there is another problem facing by experimental group which is costly for
conducting experiments due to many parameters need to be tested and hardly to
differentiate the significant changes from the spray characteristics. Besides, the
critical behaviour inside the experimental instrument is invisible through the
4
experiment work. Therefore, the aim of this research is to use CFD simulation to
obtain the flow inside orifice and spray characteristics of the premix swirl injector
and to predict the preliminary data prior to the actual design. In addition, the
influences of injector’s orifice geometries to the spray are studied. The behaviour of
fluid flow inside orifice, spray characteristics regarding Sauter mean diameter and
droplets density are analysed from the simulation result.
Other than burner injector geometry, biodiesels are renewable energy sources
which have properties similar to petroleum diesel fuel, while its usage contributed
pros and cons to the environment. Biodiesel provided benefits of lower emission of
matter (PM), carbon dioxide (CO2) and unburnt hydrocarbons (HC). Besides, reusing
of biodiesel can reduce the impact to the environment due to some biodiesel are
made from wasted oil. Moreover, biodiesel can be produced from the vegetable oil
which can cause a reduction of the usage of conventional fuels. However, there are
also some issues about its disadvantages, such as increase in nitrogen oxide (NOx)
emissions still is an issue for the research and development (R&D) group. Moreover,
high viscosity of biodiesel can gives significant impacts to the spray characteristics,
flame formation and combustion. Fuel characteristics of biodiesel still is an unsolved
problem due to its oxidation stability, stoichiometric point, biofuel composition,
antioxidants on the degradation which can cause more emission of NOx and PM [16].
Two types of alternative fuel blends, B10 and B20 are requires to test in order to
predict its combustion behaviour through nozzle flow and spray analysis.
1.3 Objective
The objectives of this research are:
(i) Simulate the physics flow pattern of rapid mixing with tangential velocity and
volume fraction between standard diesel fuel and air in the mixing chamber
of premix swirl injector.
(ii) Determine the nozzle flow and spray characteristics for different ratio of
orifice’s length to diameter and orifice coefficients on single orifice of the
premix swirl injector by using CFD.
5
(iii)Comparing two types of CPO biodiesel blends, B10 and B20 to the standard
diesel fuel (B0) with a standard orifice (1 mm) on nozzle flow and spray
characteristics by using CFD.
1.4 Scope
In this project, the behaviours of mixture formation between standard diesel fuel and
air inside the mixing chamber are studied by using premix fuel-air concept swirl
injector. Three different nozzle diameters with 0.8 mm, 1.0 mm, 1.2 mm and nozzle
hole shapes such as cylindrical shape (K = 0) and conical shapes with k-factor of 10
and 20 were the manipulate geometries in this simulation. The nozzle orifice injector
angle used is fixed at 45° with an equivalent ratio at 1. The working fluids were air,
standard diesel fuel, alternative fuel blends of crude palm oil (CPO) B10 and B20.
Last but not least, the mixture formation results are analysis base on tangential
velocity, and physics flow pattern inside the mixing chamber at four (4) different
positions along y-axis. Meanwhile, volume fraction at five (5) different critical
positions are analysed along the y-axis in mixing chamber. Besides, the variant types
of geometrical injector’s orifice are study in terms of behaviour of nozzle flow and
spray characteristics to predict the combustion and production of emission. Last but
not least, all the simulations were completed by software of ANSYS FLUENT.
1.5 Significance of study
A new application, innovation and modification of an existing design tool will lead
to the improvement of quality product. Therefore, study of nozzle characteristics of
the injector in fuel injection system can bring a significant affection to the air
pollutant and benefit to the environment. However, premix swirl injector orifice
geometries can gives impact to the combustion profile with affecting the spray
characteristics of diesel fuel and alternative fuels. Other than that, many researchers
reported that the biodiesel affects the injection system with respect of nozzle flow
and spray characteristics [17-23]. Thus, few types of biodiesel blends are applied and
compared with the diesel fuel.
6
A specific modification of the premix injector nozzle geometry can improve
the combustion performance significantly. Therefore, differences of nozzle shapes
and diameters are studied in this simulation. Cylindrical and conical of nozzle orifice
shapes were chosen as part of simulation in the category of nozzle shape. Apart from
that, orifice diameter was also the other category of nozzle characteristics in this
study. Nevertheless, using CFD simulation is always gives a good visualise result
compared to the experimental observations. Besides, the simulation result was
validated with the experimental result using droplets size analysis in order to obtain a
medium for further simulation. Nevertheless, CFD simulation also provides
advantages in respect of saving energy, time and cost.
CHAPTER 2
LITERATURE REVIEW
2.1 Introduction
The fuel injection system is widely used in the field of a burner system nowadays.
However, previous research showed that the nozzle characteristics influenced the
spray characteristics, especially nozzle shape and diameter of the injector. Besides,
many literatures also concluded that the alternative fuel, crude palm oil and its blends
also effects to the performance of combustion, while direct affect to emission
produce. This chapter describes the relevant information from previous literatures
like premix injector, fuel-air mixing characteristics, effects of swirling flow for the
fuel-air mixing and cavitation inside the nozzle orifice Moreover, types of nozzle
orifices such as orifice shape and orifice diameters and their effects to the spray and
nozzle flow, spray characteristics, and Computational Fluid Dynamics (CFD) also
reviewed. Other than that, literature review about crude palm oil (CPO), properties of
biodiesel, effects of biodiesel and biodiesel blends, specifically on CPO also been
revised in this chapter.
2.2 Premix injector
Tomoaki Yatsufusa et al. was innovated a new injector to introduce water directly
into the combustion field to achieve the water-fuel emulsion concept [24]. Water-
emulsified fuel can lower flame temperature while it leads to NOx reduction and PM
emissions [24-29]. The new injector was designed based on the concept of fuel-water
internally rapid mixing. Atomization air in the small mixing chamber was forced fuel
and water mixed rapidly and then injected from the chamber. The mixture of water,
fuel and air are introduced directly into the combustion field.
8
The new injector was named as “fuel-water internally rapid mixing type of
injector”. Furthermore, fuel and water were inserted separately and independently
into to a small mixing chamber inside of the injector. Figure 2.1 illustrates the detail
of the injector in cross sectional view and its photographs. The capacity of the
mixing chamber is 3.9 mL. Fuel was supplied from a ring-shaped slit with an outer-
diameter of 5.5 mm and slit-width of 0.45 mm while water was supplied from
another center hole with a diameter of 2.0 mm as shown in the Figure 2.1. Moreover,
the function of swirler used in the injector was generated the air swirl flow in the
mixing chamber in order to improve mixing [24].
Figure 2.1: Fuel-water internally rapid mixing type of injector [24]
Nevertheless, M. Farid Sies et al. introduced this kind of pre-mixing injector
fuel and water-fuel emulsion into the application of open burner. The working fluids
are CPO biodiesel blends with diesel, standard diesel fuel and mixed with water for
comparison. They found that the spray formations depend on the equivalent ratio or
mass flow rate, while CPO biodiesel has longer penetration length and spray area
than diesel, but the spray angle is smaller than diesel. Besides, they observed the high
density fuel and additional water content in the fuel can produce longer spray
penetration and small spray angle. The increase of water content in fuel will increase
the spray penetration while decreased in spray area [30].
Additionally, Amir Khalid et al. also applied premix injector into an external
burner system to investigate the effects of diesel-water emulsification on mixture
9
formation, burning process and flame development in the burner system by using
direct photography method. They found that the higher penetration length and lower
spray angle higher generated due to water contents caused higher viscosity influences
and thus predominantly lower combustible mixture and flame penetration which is
good agreement in estimation of reduction emission produced from combustion
process [31].
2.3 Fuel-air premixing
Mixing is a slow physical process and it does not force by convection. Convection
represented large-scale transport while turbulence means large-scale to small-scale
transport. Turbulent mixing is the most important rule in all practical fluid flows
which having scales larger than the millimetre. All the ultra-low-emissions
combustors rely on the achievement of near-perfect mixture homogeneity before the
combustion can be success. A homogeneous combustible mixture has the added
benefits in greatly reduces the possibility of autoignition. High degree of mixture
homogeneity is essential, not only for the attainment of low NOx emissions, but also
to alleviate the problem of autoignition [32]. Furthermore, a successful turbulent
flow of mixing can be done from the mixing of water, fuels, and gases. Mixture
formation of fuel and air is extremely important in contribution of combustion
modelling and it is a complicated process which can be accomplished in many ways
using a wide variety of technologies.
A number of researches investigated spray fuel-air mixing since pass 20 years
started from great spray researcher H. Lefebvre [33]. He was used various types of
atomizer to create fuel and air mixing in the application of either internal combustion
or external combustion. However, all the atomizers developed were found good
agreement in term of fuel air mixing, and yet these atomizers were great
manufactured all around the world for any application involving spray injection. As
world attaining advances, the fuel-air mixing is no longer depends on the atomizer.
Many external techniques had introduced for enhancement of fuel-air mixing, such
as turbulence generators, fractal grid, swirling flow, high pressure injection of fuel
into air, and scramjet. T. S. Cheng et al. is performed a study the effects of initial
fuel-air mixing on NOx and CO emissions in swirling methane jet flames. Where the
major parameters are swirl number used to modify the initial fuel-air mixing ahead of
10
the swirling flame, the fuel-air momentum flux ratio, and the location of fuel
injection. The results showed that strong and rapid mixing of the strongly
recirculating flame, which mixture homogeneity increased and shortens the
characteristic time for NOx formation, results in a lower NOx emission index [34].
Furthermore, M. Stohr et al. investigated the fuel–air mixing and reaction in a
lean partially-premixed turbulent swirl flame using simultaneous particle image
velocimetry (PIV) and planar laser-induced fluorescence of OH and acetone with a
repetition rate of 10 kHz. They concluded the enhancement of fuel–air mixing is
strongly induced by the precessing vortex core (PVC) in the shear layer of the inner
recirculation zone with significant contributed to the stabilization of the flame [35].
Moreover, Tomoaki Yatsufusa et al. studied tried to apply biomass fuel to produce a
clean burner combustion under high load conditions by water addition used a newly
developed injector mixes fuel rapidly with water inside of the injector with support
of atomizing air. They pressured the air-flow into the injector and swirl flow is
generated by swirler in the mixing chamber to improve mixing. Meanwhile, water
and fuel are pumped into the mixing chamber to achieve rapid mixing with fuel, air
and water. The result showed this premix swirl injector emitted exceedingly less
particulate matters at high load and NOx emission is strongly dependent on water
flow rate [24]. Other than that, Amir Khalid et al. studied on the relation between
mixture formation and flame development of swirl premix burner combustion using
optical visualization technique and image processing technique. However, they found
that changes in equivalent ratio was not appeared beneficial to the physical fuel-air
mixing but chemical reaction improved and promoted greater quantity fuel prepared
for combustion due to higher luminosity [36].
2.4 Effects of swirling flow
Swirling flows have been commonly used by the previous researchers and industries
for a number of years, purposed for stabilization the high intensity combustion
processes [37, 38]. Swirling flow plays an important role in creating an internal
recirculation zone, which produced the low velocity regions where the flame can be
stationary [38, 39]. The recirculation zone has several beneficial effects to the
improvement of fuel/air mixing and the turbulent flame speed can be increased by
augmenting the level of turbulence [38].
11
Cunxi Liu et al. investigated the effects of gap of nozzle shroud on the
combustion stability and the spray characteristics with some of combustion
performance in a swirl-cup combustor. The performance they determined was flame
patterns, ignition and lean blowout performances. They observed that the ignition
performance was improved greatly with fuel/air ratio at lower 18% of ignition limit.
Figure 2.2 shows the detailed flow structures inside the venture and simulated non-
reacting flow field inside the model combustor. The swirling air and jetting air
streams were interacted from the purge holes and it brought a significant impact to
the flow field structure. The Central Recirculation Zone (CRZ) moved downstream
and the reverse flow velocity decreased when increasing h from 0.5 mm to 2.5 mm
[38].
Figure 2.2: Axial velocity distribution and stream lines (m/s) [38]
M. M. Rahman et al. analysed numerically with the commercial CFD about
the performance of the separator which created the orthogonal driving flow to cause
swirling for vapour-water two phase flow separation. In their analysis, the turbulence
models of standard k − ε and realizable k − ε were implemented. Moreover, Figure
2.3 represents the results of velocity vector for standard k − ε and realizable k – ε
from their simulation. From the Figure 2.3, the turbulence model of realizable k – ε
showed it consists of high velocity swirling flow around the center while the low
velocity of weak swirling flow was near to the wall. The strong swirling flow (at
center) created the centrifugal forces to propel the liquid phase (water) to the outer
12
free vortex region. The water was resided and collected in the weak swirling
intensity region [40].
(a) (b)
Figure 2.3: The velocity vector of (a) standard k – ε, and (b) realizable k – ε
turbulence model [40]
Ying Huang and Vigor Yang investigated numerically about the effect of
inlet swirl on the flow development and combustion dynamics in a lean-premixed
swirl-stabilized combustor by using a large-eddy-simulation (LES) technique. The
result showed the swirl number increased, the recirculation zone moved to upstream
and merged with the wake recirculation zone which located behind the centerbody.
Besides, a higher swirl number tends to increase the turbulence intensity, and
consequently the flame speed reduced the flame surface area. However, excessive
swirl might cause the central recirculating flow to penetrate into the inlet annulus and
lead to the occurrence of flame flashback. Figure 2.4, 2.5 and 2.6 shows the
streamline result, contour of vorticity magnitude and so-vorticity surface for two
different swirl numbers [41].
13
Figure 2.4: Streamline patterns for two different swirling numbers [41]
Figure 2.5: Contour of vorticity magnitude for two swirling numbers [41]
14
Figure 2.6: Iso-vorticity surface for two swirling numbers [41]
2.5 Cavitation
Cavitation is one of the important methods to reduce the emissions from combustion
at source is enhances the spray breakup and introducing smaller droplets size inside
the combustion chamber. The physical flow inside the injector nozzle has significant
influences on the spray formation. The high pressure in the injector sudden drop
when across the injector nozzle which tends to accelerate the liquid within the small
nozzle, while the extreme high velocity and low pressure regions creating the
cavitation as shown in the Figure 2.7. Nevertheless, cavitation inside the nozzle has
been resulted as one of the important parameters which can affect fuel spray
atomization.
15
Figure 2.7: Cavitation formation inside nozzle [42]
However, cavitation has positive effects to the development of the fuel spray
breakup. There are many researchers concentrated on using both the experimental
and numerical methods to gain a better knowledge of this phenomenon and its
relation on the durability and performance of diesel fuel injection. According to the
geometric-induced cavitation and string cavitation from experimental, it was found
that the spray angle increases significantly with the existence of string cavitation
while it appear in the nozzle [43]. Gavaises concluded that the cavitation will
damage the areas of bubble collapse, while the engine exhaust emissions increased
by the association of string cavitation structure inside nozzle [44]. Payri et al.
conducted an experimental study about the effects of geometric parameters on
cavitation phenomena within a visual closed vessel by using laser technologies. The
results of their study showed that the jet angle has noticeable affected by the
cavitation behaviours [45]. J.M. Desantes et al. conducted an experimental study
about the influences cavitation phenomena at near-nozzle field through visualization
technique to detect cavitation bubbles injected in a chamber pressurized with liquid
fuel. The noticeable increment of spray cone angle and spray contour irregularities
has been found which related with the presence of cavitation bubbles at the orifice
outlet. They assumed this fact was an indicator of atomization improvement induced
by the collapse of cavitation bubbles at the nozzle exit [46]. Payri et al. studied the
Pinj Pback
Pinj
Pback
Pv
Cavitation onset
Nozzle hole
Theoretical Real pressure
distribution
16
effect of cavitation phenomenon to the spray cone angle, found a significant
increment involved with cavitation appearing [47]. Meanwhile, a similar result was
obtained by Hiroyasu by visualizing separately internal flow and macroscopic spray
from different large-scaled nozzles [48]. Akira Sou et al. also investigated the
cavitation flow in an injector nozzle numerically. They purposed the combination
equations used such as Large Eddy Simulation (LES), Eulerian–Lagrangian Bubble
Tracking Method (BTM), and the Rayleigh–Plesset (RP) to simulate an incipient
cavitation, in which only cavitation bubble clouds appear. In this case, they found a
good agreement with the prediction of cavitation using combination equations [49].
2.6 Nozzle orifice geometries of the injector
Nozzle hole gives a significant impact to the flow inside the nozzle orifice, spray
characteristics, cavitation and turbulence levels and influences to the combustion
indirectly [1, 23, 43, 50]. Nevertheless, there are few types of nozzle orifice are
famous among the researchers such as differences in nozzle hole shape (cylindrical
and conical) and orifice’s diameter.
2.6.1 Nozzle orifice diameter
Li-jun Yang et al. found that the atomization behaviour was affected by the nozzle
diameter, which can be obtained by comparing the spray characteristics of two
different nozzle diameter injectors. The size of swirl chamber and the tangential
inlets are the same for the two injectors. Comparing two injectors under the same
pressure drop, the spray angles of injector with the nozzle diameter of 1.5 mm are
smaller than that of the injector with nozzle diameter of 2 mm. Under the same
pressure drop, a rotating fluid jet is produced from the swirl injector (nozzle diameter
= 1.5 mm). On the contrary, the 2 mm nozzle diameter of injector is swing to form a
twisted ribbon-like structure under the larger swirl strength [51]. Masatoshi Daikoku
and Hitoshi Furudate conducted a studied on effect of the generation and collapse of
cavitation in a nozzle on the breakup of liquid using 3 different ratio nozzle’s length
to diameter as showed in the Table 2.1 below. Their results showed the disturbance
occurring inside nozzle disintegrates as it flows through the large L/D ratio nozzle,
and it did not promote atomization of the issuing liquid jet. On the contrary, a small
17
L/D ratio nozzle, the cavitation generated was not susceptible to the effect of the
downstream flow. It was generated although at low injection pressures, which
promoted the liquid jet breakup. Besides, all transitions are affected by the
generation and collapse of cavitation in small L/D ratio nozzle, and consequently the
flow velocity diminished at which a transition from wavy jet to spray occurs [52].
The liquid velocity against L/D ratio for nozzle diameter of 3 mm and 1.5 mm as
shown in the Figure 2.8 which resulted slow velocity generated with small nozzle
diameter.
Table 2.1: Dimensional specifications of the nozzle [52]
D (mm) L (mm) L/D
3 9
3 1.5 4.5
0.5 1.5
3 36
12 1.5 18
0.5 6
3 60
20 1.5 30
0.5 10
18
(a) D = 3 mm
(b) D = 1.5 mm
Figure 2.8: Liquid velocity generated by two different nozzle diameters with
different L/D ratio (a) D = 3 mm and (b) D = 1.5 mm [52]
Apart from that, the characteristic of cone shape spray was studied and the
efficient atomization or fuel combustion was determined. Other than that, by
referring to the Figure 2.9, it can be concluded that the spray angle increasing while
injection pressure increased, which is in agreement with experimental results by
Halder et al. [53, 54].
Figure 2.9: Injection pressure (bar) against spray angle (°) [54]
19
Similarly, Zuo-Yu Sun et al. conducted numerically investigation on the
influences of nozzle’s geometric parameters on the flow and the cavitation
characteristics within injector’s nozzle. Indeed, the ratio of nozzle’s length to
orifice’s diameter was one of the nozzle parameter to be investigated. They noticed
that narrowing orifice’s diameter can significantly enhances the drag force on the
flow, which induced a sharp reduction of the flow velocity within nozzle.
Additionally, they also concluded for as nozzle’s diameter decreases with a specific
nozzles length, the distributions of the concerned physical fields are obviously varied.
Under different nozzle’s diameter, the different locations at where the low (even
negative) pressure occurs, which results the origins cavitation locations was different.
Consequently, subsequent development and extinction of cavitation were diverse
under different diameter [55]. Moreover, Figure 2.10 illustrates their result published
under different ratio of length to diameter.
Figure 2.10: Nozzle flow characteristics under different L/D: (a) mass flow rate and
flow coefficient; (b) average volume of vapour; and (c) average velocity at outlet and
average turbulent kinetic energy [55]
With the same D With the same L
With the same D
With the same L
With the same D
With the same L
20
2.6.2 Nozzle hope shape
There are two common nozzle shapes used to determine the injection behaviour of
fuel, fuel-air mixing or fuel-air-water mixing. That two common nozzle shapes are
conical and cylindrical nozzle orifices. Many previous literatures [15, 56-58] used
these two types of nozzle hope shape to make a comparison for investigate the
cavitation, flow efficiency (discharge coefficient) and exit velocity, spray
characteristics, and mass flow rate.
An experimental study was conducted by Benajes et al. to analyse the effects
of conical and cylindrical nozzle orifices to the injection rate behaviours of a fuel
injection system on a cavitation test. The observation of the experiment was taken to
compare a cylindrical orifice and a conical orifice in order to increase flow efficiency
(discharge coefficient), cavitation reduction, and exit velocity. However, the fuel
injection rate is minimized due to the smaller exit area [56]. Payri et al. was observed
that the smothery conditions with cylindrical nozzles, meanwhile for the mass flow
rate of conical nozzle was relative to the square root of pressure drop referential
absence of cavitation at the nozzle exit. Other than that, they also found that was an
increasing in injection velocity due to the existence of vapour at the orifice outlet for
the cylindrical nozzle [15]. Furthermore, Han et al. found that the primary breakup
region is relatively influenced by nozzle geometry when compared to the conical and
cylindrical nozzles [58]. Besides, he also examined the effects of different nozzle
orifice geometry on spray penetration, liquid length, and cone angle [23, 58] .
2.6.3 Conical nozzle
The conical nozzle is a cone shape nozzle which designed by the cone half angle as
viewed from the side. The conicity of nozzle is determined by the formula (2.1) of
orifice coefficient, K [17, 23, 42, 55, 59]. The conicity of nozzle and is defined as the
ratio of the difference between nozzle’s inlet (Din) and nozzle’s outlet (Dout) to a
constant10 µm [55, 60]. If orifice coefficient, K is positive value, the orifice gives a
conical pattern. Contrarily if K is negative value, the orifice gives an inverted conical
pattern.
m
DDK outin
10
_ (2.1)
21
Where, K : Conicity of the nozzle hole
Din : Inlet diameter of the nozzle in unit μm
Dout: : Outlet diameter of the nozzle in unit μm
Figure 2.11 shows several types of different nozzle shape with their value of
Kfactor. Positive Kfactor has a larger inlet diameter and smaller outlet diameter to form a
convergent nozzle. Zero Kfactor is a kind of nozzle that has the same diameter for both
inlet and outlet. Meanwhile, the negative Kfactor nozzle has a smaller inlet diameter
but larger outlet diameter, which can be form a divergent nozzle [42]. However,
there are only two types of nozzle hole shape use in this study, cylindrical and
conical nozzles.
Figure 2.11: Types of nozzle hole shape
There are some advantages for using a conical nozzle, such as the nozzle
design is simple which just like cone shape, and it is no any inflection when
propellants are dismissed from the combustion chamber. No inflection means that the
propellant is coming out straight line from the nozzle of the throat to the exit.
Therefore, a conical nozzle is always used for solid and hybrid propellant types due
to the lack of inflection.
Meanwhile, there are also some disadvantages of a conical nozzle. One of it
is the fact that conical nozzle more divergence loss significantly at the exit. The
propellant is flow parallel with the centerline of the nozzle as it exits. It would rather
22
at the cone angle if the flow exit is not parallel because of the exit angle of a conical
nozzle is the same as the cone angle. The flow will experiences divergence loss
which can cause energy loss, when there is an angle at the exit. Energy loss will turn
a loss of nozzle efficiency indirectly. The exit angle a conical nozzle is large and
therefore it maximized the divergence loss. Another disadvantage is a conical nozzle
is heavier because of it contains more materials, even it is in the same design with
others nozzle.
A pintle-type nozzle can form the conical-shaped spray and the homogeneous
mixture is created for the purpose of low exhaust emissions are achieved in the
premixed diesel combustion. As compared to a nozzle jet burner, the conical shape of
the nozzle can well-controlled the level of partial premixing and highly stabilized
partially premixed flames [61]. The lean mixture with high homogeneity could
achieve by conical-spray injector in the cylinder for advanced diesel injection.
Furthermore, by impinging the fuel jets on the guide wall shortly before the nozzle
exit will improve the conical-spray nozzle forming a conical shape spray [43].
Moreover, the conical nozzle has higher exit density, velocity, and discharge
coefficient which could contributed to the suppression of cavitation for the nozzle.
Besides, its fuel injection rate is lower due to a smaller exit diameter.
Ming Jia et al. conducted a numerical simulation with ANSYS Fluent on the
cavitation within conical-spray nozzle, the results indicated that the cavitation
influences to the film thickness and fuel velocity at nozzle’s exit and also the spray
angle [43]. K. Pougatch et al. investigated numerically the influence of conical
nozzle attachments on spray dispersion in a fluidized bed. They found the small
angles have a stabilizing effect on spray, while large angle caused destabilising [62].
Michele Battistoni et al. studied cavitation flow and spray through CFD simulation
with two types of nozzle, cylindrical and conical and two different fuel properties,
diesel and biodiesel. They concluded that the fuel type was not much affected to the
extent of cavitation regions, whereas it is strongly dependent on the nozzle shape.
However, cylindrical nozzle generated high cavitating flow, while conical nozzle has
the tendency to reduce cavitation inside the nozzle. Other than that, diesel fuel was
observed produced higher liquid penetration in the conical convergent nozzle [17].
A.M. Elbaz et al. investigated the stabilization mechanism, stability limits, and the
flow field structure of highly stabilized partially premixed methane flames in a
concentric flow conical nozzle burner with air co-flow and observed that the stability
23
is improved by added air co-flow. Most of the stable flames were approached fully
premixed when the air co-flow velocity increased [61].
2.6.4 Cylindrical nozzle
The standard nozzle shape is in cylindrical which having same diameter of nozzle
inlet and outlet. Cylindrical nozzle is a type of nozzle with cylindrical shaped head of
nozzle exit. Besides, cylindrical nozzle is much more inclined to cavitate compared
to conical nozzle because of it has a small conicity and low values of the rounding
radii [57]. Therefore, people tend to use both of these different shaped nozzles as
comparison in the experiment. Figure 2.12 below shows the geometry of cylindrical
nozzle head and its output.
Figure 2.12: Schematic diagram of the cylindrical nozzle head and exit [63]
The mass flow rate of cylindrical nozzle increases proportionally with the
root of the pressure differential until the point where it achieved its stability. This
situation occurred is because of the appearance of the cavitation phenomenon. The
critical cavitation number could be associated the point which the mass flow rate
starts to stabilize. Since cylindrical nozzle is a cavitating nozzle, thus its critical
cavitation number is defined as Kcrit, which corresponding of cavitation starts in the
injector orifice to the pressure drop. This phenomenon occurs when it is detected by
the stabilization of the mass flow rate across the orifice at a given value of the
injection pressure. Moreover, this phenomenon causes the further decrease in
24
discharge pressure which has another name called as choking. Hence, cavitation
occurs if the cavitation number that corresponds to these pressure conditions is lower
than the critical value of KcritT [47]. The values of the critical cavitation number can
be calculated using the equation:
bi
vi
PP
PPK
(2.2)
Where Pv represent the vapour pressure.
F. Payri et al. was determined the influence of cavitation on the internal flow
and the macroscopic behaviour of the spray in Diesel injection nozzles with two
different nozzles, cylindrical and conical nozzles. They observed there was an
exception for the cylindrical nozzle, which showed it decreased in the discharge
coefficient for each injection pressure with marked Reynolds number as shown in the
Figure 2.13. The decreased of the discharge coefficient can be explained with the
collapse of the mass flow rate due to the cavitation. In this case of the cylindrical
nozzle, the increasing of the discharge coefficient was cut short when the moment
that cavitation appears. Therefore, the discharge coefficient depends on the cavitation
number for that moment [47].
Figure 2.13: The graph of discharge coefficient versus the Reynolds number [47]
Masatoshi Daikoku and Hitoshi Furudate studied the disintegration of liquid
jet by cavitation inside a cylindrical nozzle with different ratio nozzle’s length per