Cavitation detection in a nozzle flow

2017 ◽  
Vol 141 (5) ◽  
pp. 3738-3739
Author(s):  
Huy K. Do ◽  
Purity Dele-Oni ◽  
Tony Tang ◽  
Daniel Poe ◽  
James Bird ◽  
...  
Keyword(s):  
Nozzle Flow ◽  
Cavitation Detection

An Assessment of Homogeneous Mixture Method Cavitation Models in Predicting Cavitation in Nozzle Flow

2020 ◽  
Vol 143 (1) ◽  
Author(s):  
Dorien O. Villafranco ◽  
Ankush Gupta ◽  
Emily M. Ryan ◽  
R. Glynn Holt ◽  
Sheryl M. Grace
Keyword(s):  
Formation Rate ◽  
Computational Prediction ◽  
Quantitative Information ◽  
Homogeneous Mixture ◽  
Nozzle Flow ◽  
Validation Data ◽  
Cavitation Inception ◽  
Input Parameters ◽  
Cavitation Detection ◽  
Vapor Formation

Abstract The homogeneous mixture method (HMM) is a popular class of models used in the computational prediction of cavitation. Several cavitation models have been developed for use with HMM to govern the development and destruction of vapor in a fluid system. Two models credited to Kunz and Schnerr–Sauer are studied in this paper. The goal of this work is to provide an assessment of the two cavitation submodels in their ability to predict cavitation in nozzle flow. Validation data were obtained via experiments which employ both passive cavitation detection, (PCD) via acoustic sensing and optical cavitation detection (OCD) via camera imaging. The experiments provide quantitative information on cavitation inception and qualitative information on the vapor in the nozzle. The results show that initial vapor formation is not predicted precisely but within reason. A sensitivity analysis of the models to input parameters shows that the Schnerr–Sauer method does not depend upon the estimation of nuclei size and number density. Small changes in the vapor formation rate but not the total vapor volume can be seen when weighting parameters are modified. In contrast, changes to the input parameters for the Kunz model greatly change the final total vapor volume prediction. The assessment also highlights the influence of vapor convection within the method. Finally, the analysis shows that if the fluid and nozzle walls do not support nuclei larger than 40 μm, the methods would still predict cavitation when indeed there would be none in practice.

INTERNAL AND NEAR-NOZZLE FLOW OF A PRESSURE-SWIRL ATOMIZER UNDER VARIED FUEL TEMPERATURE

2007 ◽  
Vol 17 (6) ◽  
pp. 529-550 ◽  
Author(s):  
Seoksu Moon ◽  
Choongsik Bae ◽  
Essam F. Abo-Serie ◽  
Jaejoon Choi
Keyword(s):  
Nozzle Flow ◽  
Fuel Temperature ◽  
Swirl Atomizer ◽  
Pressure Swirl ◽  
Pressure Swirl Atomizer

Confined coaxial nozzle flow with central lobed mixer at different velocity ratios

AIAA Journal ◽  
1998 ◽  
Vol 36 ◽  
pp. 349-358 ◽  
Author(s):  
S. C. M. Yu ◽  
X. G. Xu
Keyword(s):  
Nozzle Flow ◽  
Coaxial Nozzle

Nozzle flow separation

AIAA Journal ◽  
1998 ◽  
Vol 36 ◽  
pp. 1618-1625 ◽  
Author(s):  
G. L. Romine
Keyword(s):  
Flow Separation ◽  
Nozzle Flow

2-D multispecies Raman imaging of an underexpanded nozzle flow with KrF and ArF excitation

2000 ◽  
Author(s):  
N. Sijtsema ◽  
R. Tolboom ◽  
N. Dam ◽  
J. ter Meulen
Keyword(s):  
Raman Imaging ◽  
Nozzle Flow

The gas jet behavior in submerged Laval nozzle flow

2017 ◽  
Vol 29 (6) ◽  
pp. 1035-1043 ◽  
Author(s):  
Zhao-xin Gong ◽  
Chuan-jing Lu ◽  
Jie Li ◽  
Jia-yi Cao
Keyword(s):  
Laval Nozzle ◽  
Gas Jet ◽  
Nozzle Flow ◽  
Jet Behavior
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