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Research Papers: Gas Turbines: Combustion, Fuels, and Emissions

Time-Response of Recent Prefilming Airblast Atomization Models in an Oscillating Air Flow Field

[+] Author and Article Information
G. Chaussonnet

Institut für Thermische Strömungsmaschinen,
Karlsruher Institut für Technologie (KIT),
Kaiserstr. 12,
Karlsruhe 76131, Germany
e-mail: geoffroy.chaussonnet@kit.edu

A. Müller, S. Holz, R. Koch, H.-J. Bauer

Institut für Thermische Strömungsmaschinen,
Karlsruher Institut für Technologie (KIT),
Kaiserstr. 12,
Karlsruhe 76131, Germany

1Present address: JENOPTIK Robot GmbH, Monheim am Rhein, Germany.

Contributed by the Combustion and Fuels Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received July 5, 2017; final manuscript received July 7, 2017; published online August 16, 2017. Editor: David Wisler.

J. Eng. Gas Turbines Power 139(12), 121501 (Aug 16, 2017) (9 pages) Paper No: GTP-17-1296; doi: 10.1115/1.4037325 History: Received July 05, 2017; Revised July 07, 2017

The present study investigates the response of recent primary breakup models in the presence of an oscillating air flow and compares them to an experiment realized by Müller (2015, “Experimentelle Untersuchung des Zerstäubungsverhaltens Luftgestützter Brennstoffdüsen bei Oszillierenden Strömungen,” Ph.D. thesis, Karlsruhe Institute of Technology, Karlsruhe, Germany). The experiment showed that the oscillating flow field has a significant influence on the Sauter mean diameter (SMD) up to a given frequency. This observation highlights the low-pass filter character of the prefilming airblast atomization phenomenon, which also introduces a significant phase shift on the dynamics of SMD of the generated spray. The models are tested in their original formulations without any calibration in order to assess their robustness versus different experiments in terms of SMD and time-response to an oscillating flow field. Special emphasis is put to identify the advantages and weaknesses of theses models, in order to facilitate their future implementation in computational fluid dynamics (CFD) codes. It is observed that some models need an additional calibration of the time constant in order to match the time shift observed in the experiment, whereas some others show a good agreement with the experiment without any modification. Finally, it is demonstrated that the low-pass filter character of the breakup phenomenon can be retrieved by considering the history of the local gas velocity, instead of the instantaneous velocity. This might result in a higher simulation fidelity within CFD codes.

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Figures

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Fig. 1

Planar model of the airblast atomizer, from Ref. [10]

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Fig. 2

Volume PDF of the spray superimposed with usual functions. E is the fitting error defined as ∫(f exp −ffit)2 dd.

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Fig. 3

Gas velocity (top) and SMD (bottom) of the generated spray

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Fig. 4

SMD of the generated spray versus the gas velocity, superimposed with the line of equation y = 1308x−0.6

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Fig. 5

Breakup mechanism proposed by Inamura et al. [11]

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Fig. 6

Breakup mechanism proposed by Eckel et al. [16]

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Fig. 7

Breakup mechanism proposed by Chaussonnet et al. [22]

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Fig. 8

Volume PDF with original model constants superimposed with the experiment under static conditions. Vertical dashed lines denote the SMDs.

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Fig. 9

Volume PDF of model 1

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Fig. 10

Volume PDF with model constants fitted on experiment. Vertical dashed lines denote the SMD.

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Fig. 11

Breakup time predicted by model 1 (), model 2 () and model 3 () superimposed with the gas velocity (line), at f = 62 Hz (top) and f = 500 Hz (bottom)

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Fig. 12

SMD predicted by model 1 (), model 2 (), and model 3 () and measured in the experiment (line) at f = 62 Hz (top) and f = 500 Hz (bottom)

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Fig. 13

Illustration of the averaging procedure for two breakup event

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Fig. 14

Breakup time including the velocity history predicted by model 1 (), model 2 (), and model 3 () superimposed with the gas velocity (line), at f = 62 Hz (top) and f = 500 Hz (bottom)

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Fig. 15

SMD including the velocity history predicted by model 1 (), model 2 (), and model 3 () and measured in the experiment (line) at f = 62 Hz (top) and f = 500 Hz (bottom)

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Fig. 16

SMD predicted by model 1 (), model 2 (), and model 3 () with calibrated time constant, superimposed with the experiment (line) at f = 62, 125, 250, and 500 Hz from top to bottom

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