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Copyright ©2018 by Rolf D. Reitz. This material is not to be sold, reproduced or distributed without prior written permission of the owner, Rolf D. Reitz. 1 PCI-2-6, 2018 Internal Combustion Engines I: Fundamentals and Performance Metrics Prof. Rolf D. Reitz, Engine Research Center, University of Wisconsin-Madison 2018 Princeton-Combustion Institute Summer School on Combustion Course Length: 9 hrs (Mon.- Wed., June 25-27) Hour 6: Spray modeling

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Page 1: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

Copyright ©2018 by Rolf D. Reitz. This material is not to be sold, reproduced or distributed without prior written permission of the owner, Rolf D. Reitz.

1 PCI-2-6, 2018

Internal Combustion Engines I: Fundamentals and Performance Metrics

Prof. Rolf D. Reitz,

Engine Research Center, University of Wisconsin-Madison

2018 Princeton-Combustion Institute Summer School on Combustion

Course Length: 9 hrs (Mon.- Wed., June 25-27)

Hour 6: Spray modeling

Page 2: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

Hour 6: Spray modeling

2 PCI-2-6, 2018

Short course outline:

Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of fundamental engine processes and detailed experiments in engine design optimization.

Day 1 (Engine fundamentals)

Hour 1: IC Engine Review, Thermodynamics and 0-D modeling Hour 2: 1-D modeling, Charge Preparation Hour 3: Engine Performance Metrics, 3-D flow modeling

Day 2 (Computer modeling/engine processes)

Hour 4: Engine combustion physics and chemistry Hour 5: Premixed Charge Spark-ignited engines Hour 6: Spray modeling

Day 3 (Engine Applications and Optimization) Hour 7: Heat transfer and Spray Combustion Research Hour 8: Diesel Combustion modeling Hour 9: Optimization and Low Temperature Combustion

Page 3: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

Resolution – predictive spray models?

10 cm

10 µm

1-D 104 grid points 3-D 1012 grid points

Finite difference mesh

Engineering models will not be entirely predictive for decades Accurate submodels will be needed for detailed spray processes (e.g., drop drag, drop turbulence interaction, vaporization, atomization, drop breakup, collision and coalescence, and spray/wall interaction)

3 PCI-2-6, 2018

Hour 6: Spray modeling

Page 4: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

Governing Equations

Gas phase Liquid phase Turbulence

Intact Churning Thick Thin Very thin

Computational cell

Two-Phase Flow Regimes Current LDEF spray models: – drops occupy no volume θ >0.9

x, v, r, Td f = f (x, v, r, Td; t)

Amsden,1997

θ = 1− (43∫∫∫ π r3 f drdv dTd

Vol∫ )dVol / Vol

Gas void fraction and drop number density

Drop parcels

4 PCI-2-6, 2018

Lagrangian Drop, Eulerian Fluid (LDEF) models

Hour 6: Spray modeling

Page 5: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

LDEF Spray Modeling

• Concept of using “drop parcels” For typical heavy-duty diesel, injected fuel per cycle (75% load): 0.160 g One spray plume: mfuel=0.160/6=0.0267 g If average SMD=10 µm mdrop =3.8x10-10 g # of drops in the domain=0.0267g/mdrop=7.1x107

Impractical to track individual fuel drops – group identical drops into ‘parcels’

nozzle drop

parcel

Grid size

What you see in graphs:

Dukowicz, 1980

5 PCI-2-6, 2018

Hour 6: Spray modeling

Page 6: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

Liquid Phase

Spray drop number conservation

∂f∂t

+ ∇x ⋅ fv + ∇v ⋅ fF + ∂∂r

(fR ) + ∂∂Td

fTd + ∂∂y

fy + ∂∂y

fy = fcoll + fbu

F=dv/dt drop drag

Drop distortion

R = dr/dt Vaporization and heating

Drop breakup, coalescence

f = f (x, v, r, Td, y, y; t) .

W s = - fρd 4/3 πr3F '⋅u' dv dr dTd dy dy

Fs = - fρd 4/3 πr3F ' + 4πr2Rv dv dr dTd dy dy

Qs = - fρd 4πr2R Il+12

v-u 2 + 4/3 πr3 clTd + F '⋅ v-u-u' dv dr dTd dy dy

Work done by drop drag forces

Spray exchange functions

. . . .

Amsden, 1997

6 PCI-2-6, 2018

Hour 6: Spray modeling

Page 7: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

Lagrangian drop - liquid phase

Discrete Drop Model drop position

drop velocity

drop size

u

v

t t+dt

u'

l

dxdt

= v

dvdt

= F

drdt

= R

Turbulence model provides: l, u’

Spray submodels provide: F - Drag, R – Vaporize

- breakup/collide

Initial data: v, r, Td – Atomization model

= fc o + fb. .

Amsden, 1997

7 PCI-2-6, 2018

Hour 6: Spray modeling

Page 8: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

Eulerian Gas Phase

Mass conservation (species) ∂ρ

∂t+ ∇ ⋅(ρu) = − ρl 4πr 2∫∫∫ R f drdv dTd

R = dr/dt - Vapor source

Turbulent and viscous stress

Rate of momentum gain due to spray – drop drag

∂ρu∂ t

+ ∇⋅ (ρuu) = −∇p − ∇( 23 ρk) + ∇τ + Fs + ρg

Momentum conservation

8 PCI-2-6, 2018

Amsden,1997

Hour 6: Spray modeling

Page 9: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

Gas Phase energy conservation

Internal energy conservation Equations of state

∂ρ I∂t

+ ∇ ⋅ ρuI = -P∇⋅u - ∇⋅J + ρε + Qc + Qs

Energy due to Spray - vaporization

Combustion heat release

Heat flux J = −λ∇T − ρD hm

m∑ ∇(ρm / ρ)

Turbulence dissipation

p = RT ρmm∑ / Wm

Specific heat, enthalpy from JANAF data

9 PCI-2-6, 2018

Amsden,1989

Hour 6: Spray modeling

Page 10: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

Turbulence Model (RANS)

Kinetic energy

Dissipation rate

∂ρk∂t

+ ∇⋅ (ρuk) = − 23 ρ k∇⋅ u + τ ⋅ u + ∇⋅ (

µPr k

)∇k

−ρε + Ý W s

Rate of work to disperse drops

Production due to mean flow

Dissipation

∂ρε∂t

+ ∇ ⋅ ρuε = - 23

Cε1 - Cε3 ρε∇⋅ u + ∇⋅ µPrε

∇ε

+ εk

Cε1τ :∇u - Cε2ρε + CsWs

D = Cµ k2 / εTurbulence diffusivity

l = C k /ε 3/2

Eddy size Turbulence intensity

u’2= (2 k/3)

.

Amsden, 1989, 1997

10 PCI-2-6, 2018

Hour 6: Spray modeling

Page 11: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

11 PCI-2-6, 2018

Hour 6: Spray modeling

Page 12: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

(sec) (sec)

max velocity at exit, cm/s min. density at exit, g/cm3

Max V Max ρ

streamline and exit velocity density and iso-surface (ρ=0.35g/cm3)

Lee & Reitz, 2010 Hour 6: Spray modeling

Fuel Injection and Nozzle Cavitation

12 PCI-2-6, 2018

Page 13: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

r/d

l/d

Initial D

Cavitation region

1 vena 2 U mean C c

C r dc = − −[(.

) . / ] /10 62

1142 1 2

Contraction coefficient (Nurick (1976)

0.00 0.04 0.08 0.12 0.160.6

0.7

0.8

0.9

1.0

r/d

c c sharp inlet nozzle

C c

Cavitation inception Sarre, 1999

Account for effects of nozzle geometry

Cavitating flow

Yes No

Non-cavitating flow

P < PvCavitation if

=-1

2 2( )C Cc c

P P2 1/ >

13 PCI-2-6, 2018

Hour 6: Spray modeling

Page 14: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

21

1

pppp

CC vcd −

−=

uC P P C P

C P Peffc c v

c v=

− + −

2 1 22

1 2

1

( )( )ρ

AC P P

C P P C PAeff

c v

c c v=

−− + −

22 1 2

21

1 2

( )( )

C ldd = −0 827 0 0085. .

u CP P

eff d=−2 1 2( )ρ

A Aeff =

Cavitating flow

Yes No P P2 1/ >

Non-cavitating flow

Nozzle discharge coefficient

Effective injection velocity

Effective nozzle area

Nozzle discharge coefficient

Effective injection velocity

Effective nozzle area

Lichtarowicz (1965)

ERC Nozzle Flow Model

14 PCI-2-6, 2018

Sarre, 1999 Hour 6: Spray modeling

Page 15: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

Four main jet breakup regimes: Rayleigh, first wind-induced, second wind-induced and atomization

a.) Rayleigh breakup Drop diameters > jet diameter. Breakup far downstream nozzle b.) First wind-induced regime Drop diameter ~ jet diameter. Breakup far downstream of nozzle

Atomization models (Single hole nozzle) Reitz, 1982

c.) Second wind-induced regime Drop sizes < jet diameter. Breakup starts close to nozzle exit d.) Atomization regime Drop sizes << jet diameter. Breakup at nozzle exit.

15 PCI-2-6, 2018

• Jet breakup known to depend on nozzle design details. • Need to start by considering flow in the injector nozzle passage

Hour 6: Spray modeling

Page 16: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

High speed photograph of water jet close to nozzle exit (at top) in the second wind-induced breakup regime showing surface wave instability growth and breakup

Linear Stability Theory:

Cylindrical liquid jet issuing from a circular orifice into a stationary, incompressible gas.

Relate growth rate, ω, of perturbation to wavelength λ=2π/k

Atomization - “Wave” breakup model

λ

η = R η 0 e ikz + ω t

η

Reitz, 1982

Taylor & Hoyt, 1983

Kelvin-Helmholtz Jet Breakup Model

16 PCI-2-6, 2018

Hour 6: Spray modeling

Page 17: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

Surface waves breakup on jet or "blob"

Equation of liquid surface: r = a+η,

Axisymmetric fluctuating pressure, axial velocity, and radial velocity for both liquid and gas phases.

Fluctuations described by continuity equation ∂ u i ∂ z

+ 1 r

∂ ∂ r

( rv i ) = 0

plus linearized equations of motion for the liquid and the gas,

∂ u i

∂ t + U

i ( r )

∂ u i

∂ z + v

i

dU i

dr = −

1

ρ i

∂ p i

∂ z +

µ i

ρ i

∂ 2 u i

∂ z 2 +

1

r

∂ r r

∂ u i

∂ r

Z

r

2a

2 1

Λη=η0eΩt2B0Λ Linearized analysis

Axial:

U(r)

U = Jet velocity

η = R η 0 e ikz + ω t

17 PCI-2-6, 2018

Reitz, 1982 Hour 6: Spray modeling

Page 18: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

∂ v i ∂ t

+ U i ( r ) ∂ v i ∂ z

= − 1 ρ i

∂ p i ∂ r

+ µ i ρ i

∂ 2 v i ∂ z 2 + ∂

∂ r 1 r

∂ rv i ∂ r

Boundary conditions-

Gas is assumed to be inviscid

With η <<a, the gas equations give the pressure at the interface r = a

p 2 = − ρ 2 ( U − i ω k

) 2 k η K 0 ( ka ) K 1 ( ka )

Kinematic, tangential and normal stress at the interface:

v 1 = w = ∂ η ∂ t

, ∂ u 1

∂ r = − ∂ v 1

∂ z

− p 1 + 2 ν 1 ρ 1

∂ v 1

∂ r −

σ a 2 ( η + a 2 ∂ 2 η

∂ z 2 ) + p 2 = 0

Analysis (Cont.)

Radial:

U(r) = U - slip

18 PCI-2-6, 2018

Reitz, 1982

Hour 6: Spray modeling

Page 19: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

ω 2 + 2 v 1 k 2 ω I 1 ' ka

I 0 ka - 2 kl

k 2 + l 2 I 1 ka I 0 ka

I 1 ' la

I 0 la = σ k

ρ 1 a 2 1 - k 2 a 2 l 2 - k 2

l 2 + k 2 I 1 ka I 0 ka

+ ρ 2 ρ 1

U - i ω / k 2 k 2 l 2 - k 2

l 2 + k 2 I 1 ka K 0 ka I 0 ka K 1 ka

Dispersion relationship Reitz, 1988

Maximum wave growth rate characterizes fastest growing waves which are responsible for breakup (as a function of Weber and Ohnesorge numbers)

Maximum wave growth rate and length scale: Ω and Λ

Weber Ohnesorge

19 PCI-2-6, 2018

Hour 6: Spray modeling

Page 20: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

Λ a = 9.02 1 + 0.45 Z 0.5 1 + 0.4 T 0.7

1 + 0.87 We 2 1.67 0.6 Ω ρ 1 a 3

σ 0.5

= 0.34 + 0.38 We 2 1.5

1 + Z 1 + 1.4 T 0.6

where Z = We 1 0.5

Re 1 ; T = Z We 2

0.5 ; We 1 = ρ 1 U 2 a σ ; We 2 = ρ 2 U 2 a

σ ; Re 1 = Ua v 1

Maximum growth rate increases and wavelength decreases with We Increased viscosity reduces growth rate and increases wave length

Curvefits of dispersion equation

Wavelength

growth rate

Weber number, We2 Weber number, We2

Ohnesorge number, Z

Reitz, 1988

20 PCI-2-6, 2018

Part 4: Spray and CFD Modeling

Page 21: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

f(T)=

T=

θ

Λ

Breakup length of the core (Taylor, 1940):

L = C a ρ 1

ρ 2

/ f ( T ) ( ) ( )[ ]TTf 10exp163

−−=where

v ~ ΩΛ

U

Drop size:

“Wave” atomization model

Spray angle prediction:

Tan θ = v

U =

1

A 4 π (

ρ g

ρ l

) 1 / 2 f ( T )

Λ= Br

Breakup time: τ ~ Ω−1

21 PCI-2-6, 2018

Reitz, 1988

2

1

Hour 6: Spray modeling

Page 22: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

Breakup stages

Deformation or breakup regimes Breakup process Weber number References

First breakup stage

(1) Deformation and flattening We 12 <

(b) Bag breakup ≤ 12 We 100 ≤

(including the Bag-and-Stamen breakup)

Pilch and Erdman

(c) Shear breakup We 80 < Ranger and Nicolls 1969

(d) Stretching and thinning breakup

≤ 100 We 350 ≤ Liu and Reitz 1997

Second breakup stage

(e) Catastrophic breakup

≤ 350 We Hwang et al. 1996

Air

Air

Bag growth Bag burst Rim burst

Air

Air

Flattening and thinning

Air

l

RT waves KH waves

Drop breakup regimes

22 PCI-2-6, 2018

Lee, 2001 Hour 6: Spray modeling

Page 23: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

High Speed Drop breakup Mechanisms of drop breakup at high velocities poorly understood - Conflicting theories

Bag, 'Shear' and 'Catastrophic' breakup regimes

Breakup due to capillary surface waves Hinze Chem Eng (1955) and Engel Nat. Bureau Stds (1958)

Boundary Layer Stripping due to Shear at the interface Ranger and Nicolls AIAA J. (1969) Reinecke and Waldman AVCO Rep (1970)

Delplanque & Sirignano Atom Sprays (1994)

Stretching and thinning – drop distortion - Liu and Reitz IJMF (1997)

23 PCI-2-6, 2018

Liu, 1997

Hour 6: Spray modeling

Page 24: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

Air jet

DropsRT waves

KH waves

λ

Λ

Product drops

High speed drop breakup mechanisms Hwang, 1996

Rayleigh Taylor Breakup

gt = acceleration ( )σ

ρρ3

gltRT

g −−=Λ

( )[ ]gl

gltRT

gρρρρ

σ +

−−=Ω

23

32

ΛRT

ΛKH

24 PCI-2-6, 2018

Hour 6: Spray modeling

Page 25: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

Drop collision modeling

ν12 = N2 π(r1 + r2 )2 E12|v1 − v2 |/Vol

Collision frequency

1

2

Collision efficiency

E12 =K

K +1 / 2

2

~ 1

K =29

ρl v1 − v2 r22

µ g r1

Number of collisions from Poisson process

p(n) = e -ν12∆t ν12∆t n/n!

0 < p <1 random number

v2

v1

r1

25 PCI-2-6, 2018

O’Rourke, 1981

Hour 6: Spray modeling

Page 26: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

Drop collision and coalescence 1. Reflexive vs. surface energy 2. Kinetic energy of unaffected part vs. surface energy 3. Drops cannot expel trapped gas film (bounce apart) 4. Drops form combined mass (coalesce)

δ

b

us

ul

U

b

us

ul

U

ds

dl

B=

σsdU

We Lρ2

= )(2

ldsdbB+

=ldsd

Δ =, ,

1 2 3 4

26 PCI-2-6, 2018

Munnannur, 2007 Georjon, 1999

Hour 6: Spray modeling

Page 27: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

Liu et al. SAE 930072

Hour 6: Spray modeling

Drop drag modeling

27 PCI-2-6, 2018

Page 28: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

Liquid Spray Droplets (Solved) Entrained Air (Modeled

Better axial relative velocity for droplets

= +

Z

Nozzle Hole

4 mm 3mm 2 mm 1 mm 0.5 mm 0.25mm

Coarse mesh: Drop drag over-predicted Fine mesh: Drop coalescence under- predicted

Grid independent spray models

Gas-jet sub-grid momentum exchange near nozzle

28 PCI-2-6, 2018

Abani, 2008, Wang, 2013

Hour 6: Spray modeling

Page 29: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

Discrete system of liquid phase + discrete mixture system of vapor phase fuel and ambient gas:

Vapor phase transport equation,

igiiii syDvyyt ,)(][][ +∇⋅∇=⋅∇+

∂∂ ρρρ

∑∑==

−+−=sF N

ss

ps

N

FF

pFp IIxIIxIG

11)()()( δδ

gFFF SyDvyyt

+∇⋅∇=⋅∇+∂∂ )(][][ ρρρ

∑ =>

discrete phase of fuel

discrete phase of air/fuel mixture

Discrete Multi-Component Ra and Reitz, IJMF 2009

Critical propertiesLiquid Heat capacityVapor thermal conductivityVapor viscosityVapor diffusivityVapor heat capacity

Physical property

p12

p11

p10

p9

p8

p7

No.No. Physical property

p1 Liquid densityp2 Vapor pressurep3 Surface tensionp4 Liquid viscosityp5 Liquid thermal conductivityp6 Heat of vaporization Critical properties

Liquid Heat capacityVapor thermal conductivityVapor viscosityVapor diffusivityVapor heat capacity

Physical property

p12

p11

p10

p9

p8

p7

No.No. Physical property

p1 Liquid densityp2 Vapor pressurep3 Surface tensionp4 Liquid viscosityp5 Liquid thermal conductivityp6 Heat of vaporization

• Physical properties used in sub-models • Mixture properties calculated from pure

components using appropriate equations

Hour 6: Spray modeling Drop vaporization

29 PCI-2-6, 2018

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30 PCI-2-6, 2018

18 component DMC model

alkanes aromatics cycloalkanes PAH

corrected

Hour 6: Spray modeling Ra, 2003

Page 31: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

Multi-component spray vaporization

MW=77.1 MW=119.7MW=77.1 MW=119.7

Gasoline Do=30 µm Vinj=100 m/s 2.0 ms after SOI

Ra and Reitz, IJMF 2009

Hour 6: Spray modeling

31 PCI-2-6, 2018

Page 32: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

Reitz, Pickett & Trujillo, 2014

Summary

The Lagrangian Drop/Eulerian Fluid (LDEF) Discrete Drop model is the work-horse approach in commercial codes for simulating 2-phase flows.

Detailed models are available for use in engine CFD models to describe the effects of injector nozzle flow, and liquid and gas properties on spray formation and drop breakup physics.

Significant progress is being made using LES/DNS spray modeling with high resolution experimental diagnostics to validate engine CFD spray models.

DNS: Near field spray modeling (Trujillo - ERC)

LES: Villiers & Gosman, LES Primary Diesel Spray Atomization, SAE 2004-01-0100

Ballistic imaging: Linne, 2009; X-Ray imaging: Liu SAE paper 2010-01-0877

32 PCI-2-6, 2018

Reitz, 2014 Hour 6: Spray modeling

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References

33 PCI-2-6, 2018

Hour 6: Spray modeling

2-6:4,6-10 Amsden, A.A. (1997) KIVA-3V: A block-structured KIVA program for engines with vertical or canted valves. Los Alamos National Laboratory Report No. LA-13313-MS.

2-6:5 Dukowicz, J.K., "A Particle-Fluid Numerical Model for Liquid Sprays," Journal of Computational Physics, Vol. 35, pp. 229-253, 1980.

2-6:10 A. A. Amsden, P. J. O’Rourke and T. D. Butler, “KIVA-II: A Computer Program for Chemically Reactive Flows with Sprays,” Report LA-11560-MS, 1989. http://www.lanl.gov/orgs/t/t3/docs/KIVA2.pdf

2-6:11 Beale, J.C., and Reitz, R.D., “Modeling Spray Atomization with the Kelvin-Helmholtz/Rayleigh-Taylor Hybrid Model,” Atomization and Sprays, Vol. 9, pp. 623-650, 1999.

2-6:12 Lee, W.G., and Reitz, R.D., "A Numerical Investigation of Transient Flow and Cavitation within Minisac and VCO Diesel Injector Nozzles," ASME J. Gas Turbines and Power, Vol. 132, 2010.

2-6:13,14 Sarre, C. Von Kuensberg, Kong, S.-C., and Reitz, R.D., “Modeling the Effects of Injector Nozzle Geometry on Diesel Sprays,” SAE Paper 1999-01-0912, 1999.

2-6:15-18 Reitz, R.D. and Bracco, F.V., "Mechanism of Atomization of Liquid Jets," Physics of Fluids, Vol. 25, p. 1730, 1982 – and Erratum: Vol. 26, (5), pp. 1376 May 1983.

2-6:19-21 Reitz, R.D., "Modeling Atomization Processes in High-Pressure Vaporizing Sprays," Atomisation and Spray Technology, Vol. 3, pp. 309-337, 1988.

2-6:22 Lee, C.-S., and Reitz, R.D., "Effect of Liquid Properties on the Breakup Mechanisms of High Speed Liquid Drops,” Atomization and Sprays, Vol. 11, No. 1, pp. 1-19, 2001

2-6:23 Liu, Z. and Reitz, R.D., "An Analysis of the Distortion and Breakup Mechanisms of High Speed Liquid Drops," Int. J. Multiphase Flow, Vol. 23, No. 4, pp. 631-650, 1997

2-6:23 Engel, O.G., “Fragmentation of Water Drops in the Zone behind an Air Shock,” Journal of Research of the National Bureau of Standards, Vo. 60, pp. 245-280, 1958.

2-6:23 Hinze, J.O., “Fundamentals of the Hydrodynamic Mechanism of Splitting in Dispersion Processes,” American Institute of Chemical Engineering Journal, Vol. 1, pp. 289-295, 1955.

2-6:23 Ranger, A. A. and Nicholls, J. A., "The Aerodynamic shattering of Liquid Drops," AIAA J., Vol. 7, p. 285-290, 1969.

Page 34: Internal Combustion Engines - Princeton University · Internal Combustion (IC) engine fundamentals and performance metrics, computer modeling supported by in-depth understanding of

References

34 PCI-2-6, 2018

Hour 6: Spray modeling

2-6:23 Reinecke, W. G. and Waldman, G. D., "A study of Drop Breakup Behind Strong Shocks with Applications to Flight," AVCO Report AVSD-0110-70-77, May, 1970.

2-6:23 Delplanque, J.P., and Sirignano, W.A., "Boundary Layer Stripping Effects on Droplet Transcritical Convective Vaporization,'' Atomization and Sprays, vol. 4, pp. 325-349, 1994.

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