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Atomization characteristics and prediction accuracy of LISA-DDB model for gasoline direct injection spray

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Abstract

In this paper, the spray atomization characteristics of a gasoline direct-injection injector were investigated experimentally and numerically. To visualize the developing spray process, a laser sheet method with a Nd :YAG laser was utilized. The microscopic atomization characteristics such as the droplet size and velocity distribution were also obtained by using a phase Doppler particle analyzer system at the 5 MPa of injection pressure. With the experiments, the calculations of spray atomization were conducted by using the KIVA code with the LISA-DDB breakup model. Based on the agreement with the experimental results, the prediction accuracy of LISA-DDB breakup model was investigated in terms of the spray shapes, spray tip penetration, SMD distribution, and axial mean velocity. The results of this study provides the macroscopic and microscopic characteristics of the spray atomization, and prediction accuracy of the LISA-DDB model.

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Abbreviations

a:

Ellipse major axis

CD :

Drag coefficient

C DS :

Drag coefficient of the sphere

d O :

Orifice diameter

d D :

Diameter after breakup

d L :

Diameter of the ligament

h0 :

Sheet thickness

K :

Density ratio of liquid-gas

K L :

Most unstable wave number of LISA model

k v :

Velocity coefficient

L b :

Breakup length

m :

Mass flow rate

N :

Viscosity ratio of liquid-gas

Δp:

Injection pressure

r :

Initial droplet spherical radius

Re:

Reynolds number

U:

Total sheet velocity

u :

Axial component of the velocity at the nozzle exit

We :

Weber number

y:

Magnitude of drop deformation

ηa :

Initial amplitude

ηb :

Critical amplitude

ρ:

Density

Ω:

Maximum growth rate

g:

Gas properties

1:

Liquid properties

GDI:

Gasoline direct injection

PDPA:

Phase Doppler particle analyzer

SMD:

Santer mean diameter

UBH:

Unburned hydrocarbon

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Correspondence to Chang Sik Lee.

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Park, S.W., Kim, H.J., Lee, K.H. et al. Atomization characteristics and prediction accuracy of LISA-DDB model for gasoline direct injection spray. KSME International Journal 18, 1177–1186 (2004). https://doi.org/10.1007/BF02983292

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  • DOI: https://doi.org/10.1007/BF02983292

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