Characterization of Trajectory, Break Point, and Break Point Dynamics of a Plain Liquid Jet in a Crossflow

Wang, Q.; Mondragon, Ulises; Brown, Christopher T.; McDonell, Vincent

doi:10.1615/atomizspr.2011002848

Cited by 32 publications

(9 citation statements)

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“…Based on around 5,000 individual images by using automated processing methodologies, which is a remarkably larger data set used for the prior correlations, Wang et al [63] recently suggested the following correlations for the prediction of column trajectory. It should be noted that this correlation has exactly same form with the one suggested by Thawley et al [61] as shown in Eq.(2.34).…”

Section: Figurementioning

confidence: 99%

“…Of three power-law functional forms, two momentum flux ratio forms and one Weber number form were included. Of three logarithmic functional forms, it is interesting to include the correlation of logarithmic form with Weber number which is similar with the one by Wang et al [63]. They also tested correlation grouped in the exponential functional form with Weber number, although, to the best of author's knowledge, this is the first trial.…”

Section: Evaluation Of Empirical Correlationsmentioning

confidence: 99%

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A Review on Empirical Correlations for Jet/Spray Trajectory of Liquid Jet in Uniform Cross Flow

2015

International Journal of Spray and Combustion Dynamics

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The empirical correlations for the prediction of jet/spray penetration of liquid jet in subsonic uniform crossflow are reviewed in this study. Considerable number of empirical correlations had been proposed by many investigators. It has generally known that the jet/spray trajectory of a liquid jet in a cross-flow is a function of the liquid to air momentum flux ratio and the normalized distance in the airstream direction from the injector. However, several researchers incorporated the Weber number, liquid-to-water or air viscosity ratio, pressure ratio or Reynolds number, temperature ratio in the empirical correlations.Two different classification methods of correlations, i.e. classification based on mathematic functional form and classification based on flow regime, are introduced in this study. The one classification of existing correlations based on functional form includes correlations in a powerlaw, logarithmic, and exponential forms, respectively. The other classification of previous correlations based on flow regime includes one, two and three regime, correlations.Correlations in a power-law functional form can be further divided into three groups such as momentum flux ratio, Weber number and other parameters forms. Correlations in logarithmic functional form can be also grouped as momentum flux ratio and Weber number forms.Most of the evaluation studies reported the significant discrepancies of predicted values by the existing correlations. The possible reasons for discrepancies will be summarized as measurement technique, assumptions made in defining terms in the liquid to air momentum flux ratio, difficulties in defining the boundaries of the liquid jets, turbulence level in the core and boundary layer of incoming jet and gas flows, nozzle/injector geometry and its position in the crossflow. However, it can be found from the several evaluation studies that the power-law functional form with momentum flux ratio and two regimes correlations provided relatively the best fit to experimental data.

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Section: Figurementioning

confidence: 99%

Section: Evaluation Of Empirical Correlationsmentioning

confidence: 99%

A Review on Empirical Correlations for Jet/Spray Trajectory of Liquid Jet in Uniform Cross Flow

2015

International Journal of Spray and Combustion Dynamics

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“…The near field HSV results were qualitatively analyzed using software developed by ERC with funding from NASA. The Automated Feature Extraction Tool (AFEAT) was used to analyze the near field results [7]. This software was used to develop correlations for penetration, breakpoint time, and breakpoint frequency.…”

Section: B Crossflow Studiesmentioning

confidence: 99%

Characterization and Analysis of Plain Jet Injection of Liquid Alternative Fuels Into a Crossflow

Brown¹,

Mondragon²,

McDonell³

2014

50th AIAA/ASME/SAE/ASEE Joint Propulsion Conference

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A number of "drop-in" replacement fuels for JP-8 are currently under development to assure a secure source of fuel for aviation applications. In the present work, evaluation of a liquid jet injected into a crossflow is carried out. Characteristics such as spray droplet size, velocity, and dispersion are measured for the different fuels. As a result, the role of fuel type in the behavior of the spray can be assessed. In addition, the extent to which existing correlations or other models can describe the impact of the liquid properties on these characteristics is evaluated. If confidence can be built in the use of design correlations, it can likely lead to simplification in the overall fuel assessment process when considering potential replacement fuels. The results show that some characteristics can be effectively captured (e.g., overall spray SMD) by simple models, whereas others cannot (e.g., spray penetration). This type of information can lead to the identification of areas of weakness relative to design tools that can be targeted for improvement though additional experimental studies and associated analyses. NomenclatureA = physical area d = diameter D32 = Sauter mean diameter Cd = discharge coefficient gc = gravitational constant p = pressure q = momentum flux ratio (defined in Eq. 2) Q = volume flow rate U = velocity  density  = liquid surface tension  = viscosity x,y,z = distance per sketch u,v,w = velocity component per sketch Subscripts g = gas l = liquid o = initial 1 = upstream 2 = downstream

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“…As a result, a large body of research studying this problem can be found in the literature [e.g., 1,2,3,4,5,6,7,8,9,10,11,12,13]. In much of this previous work, emphasis has been placed on assessing behavior as a function of the crossflow conditions (e.g., velocity, density, etc.).…”

Section: A Previous Workmentioning

confidence: 99%

Behavior of Alternative Fuels Injected as a Liquid Jet Into a Crossflow

Brown

Mondragon

McDonell

2013

51st AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition

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A number of replacement fuels for JP-8 are currently under development to assure a secure source of fuel for aviation applications. Examples include Fischer-Tropsch derived liquids from coal or gas, or hydroprocessed fuels derived from vegetable oil or animal fats. The present effort focuses on examining how various candidate fuels behave upon injection into a subsonic crossflow. Characteristics such as droplet size, velocity, and dispersion are measured for the different fuels. As a result, the role of fuel type in the behavior of the spray can be assessed. In addition, the extent to which existing correlations or other models can describe the impact of the liquid properties on these characteristics is evaluated. The results show that systematic variation in liquid penetration occurs along with differences in column breaktime and frequency of the breakpoint motion. On the other hand, general droplet sizes, velocities, and volume flux profiles, at least measured on a time averaged basis exhibit little differences. The results suggest momentum flux captures the majority of the behavior as long as actual local values for the parameters are used (e.g., actual liquid jet velocity)

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Characterization of Trajectory, Break Point, and Break Point Dynamics of a Plain Liquid Jet in a Crossflow

Cited by 32 publications

References 0 publications

A Review on Empirical Correlations for Jet/Spray Trajectory of Liquid Jet in Uniform Cross Flow

A Review on Empirical Correlations for Jet/Spray Trajectory of Liquid Jet in Uniform Cross Flow

Characterization and Analysis of Plain Jet Injection of Liquid Alternative Fuels Into a Crossflow

Behavior of Alternative Fuels Injected as a Liquid Jet Into a Crossflow

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