TECHNICAL PAPERS: Gas Turbines: Combustion and Fuels

Numerical Simulation of Liquid Jet Atomization Including Turbulence Effects

[+] Author and Article Information
Huu P. Trinh

Engineering Directorate, NASA—Marshall Space Flight Center, Huntsville, AL 35812Huu.P.Trinh@nasa.gov

C. P. Chen1

Department of Chemical & Materials Engineering, University of Alabama in Huntsville, Huntsville, AL 35899cchen@che.uah.edu

M. S. Balasubramanyam

Department of Chemical & Materials Engineering, University of Alabama in Huntsville, Huntsville, AL 35899


Corresponding author.

J. Eng. Gas Turbines Power 129(4), 920-928 (Mar 20, 2007) (9 pages) doi:10.1115/1.2747253 History: Received November 03, 2005; Revised March 20, 2007

This paper describes numerical implementation and validation of a newly developed hybrid model, T-blob/T-TAB, into an existing computational fluid dynamics (CFD) program for primary and secondary breakup simulation of liquid jet atomization. This model extends two widely used models, the Kelvin-Helmholtz (KH) instability of Reitz (the “blob” model) (1987, Atomization Spray Technol., 3, pp. 309–337) and the Taylor-Analogy-Breakup (TAB) secondary droplet breakup of O’Rourke and Amsden (1987, SAE Technical Paper No. 872089) to include liquid turbulence effects. In the primary breakup model, the level of the turbulence effect on the liquid breakup depends on the characteristic scales and flow conditions at the liquid nozzle exit. Transition to the secondary breakup was modeled based on energy balance, and an additional turbulence force acted on parent drops was modeled and integrated into the TAB governing equation. Several assessment studies are presented, and the results indicate that the existing KH and TAB models tend to underpredict the product drop size and spray angle, whereas the current model provides superior results when compared to the measured data.

Copyright © 2007 by American Society of Mechanical Engineers
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Figure 1

Comparison between numerical and measured tip penetration

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Figure 7

Drop size distributions along spray center line for test case K

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Figure 2

Variations in spray angles versus back pressure

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Figure 3

Predicted variations in spray shape, tip penetration, and drop size at t=2.5ms due to different back pressures using the T-blob/T-TAB model: (a) 1.1MPa, (b) 3MPa, and (c) 5MPa

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Figure 4

Fuel injection velocity used in simulation for test case K

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Figure 5

Predicted and measured spray tip penetration for test case K

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Figure 6

Simulations and photographs of case K: (a) t=0.203ms, (b) 0.601ms, (c) 1.205ms, and (d) 1.8ms

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Figure 8

Off-centerline drop size distributions for test case K




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