内混式空气助力喷嘴喷雾水滴尺寸分布建模

doi:10.7527/S1000-6893.2015.0202

Abstract

Abstract:

Obtaining the droplet size distribution (DSD) and median volume diameter (MVD) is of key importance for the parameters prediction and calibration of simulated icing cloud in ground-based icing test facilities. The investigation involves the experimental measurement of spray generated by an internal-mixing air-assisted nozzle based on phase Doppler interferometer, the model establishment of DSD near the orifice of nozzle using the least square technique, the influence of nozzle dynamic parameters (NDPs) on DSD through varying the NDPs, and the establishment of a formula that express the relationship between NDPs and MVD. It is found that the modified Rosin-Rammler distribution function can better approximate the experimental data, therefore it could be modeled to describe the DSD of spray produced by tested nozzle. The NDPs have a significant influence on spray performance; however, the air pressure has a dominative effect on the droplet size of spray when holding equal increment on air and water pressure. The NDPs-based MVD prediction formula can provide acceptable prediction of MVD, and is more convenient in engineering application than Wigg MVD empirical formula and its modified formula.

Key words: icing cloud, nozzle, droplet size distribution, droplet mean volume diameter, modeling

CLC Number:

V216.8

TANG Hu, CHANG Shinan, CHENG Zhu, LENG Mengyao. Modeling droplet size distribution of spray for an internal-mixing air-assisted nozzle[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2016, 37(5): 1473-1483.

References

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Modeling droplet size distribution of spray for an internal-mixing air-assisted nozzle

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