TY - JOUR

T1 - Distribution of probability of the vapor phase occurrence in a cavitating flow based on the concentration of PIV tracers in liquid

AU - Pervunin, Konstantin S.

AU - Timoshevskiy, Mikhail V.

AU - Ilyushin, Boris B.

N1 - Funding Information: The new method of statistical analysis of PIV images was developed with funding from the Russian Science Foundation (Project No. 19-79-30075). The experiment on the cavitating hydrofoil was financially supported by the Ministry of Science and Higher Education of the Russian Federation (Project No. 075-15-2019-1923). The automated methods of data acquisition and processing used in the study were realized under a state contract with IT SB RAS. Publisher Copyright: © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

PY - 2021/12

Y1 - 2021/12

N2 - We present a new method of extracting information on average vapor distribution in a cavitating flow based on statistical processing of PIV data for a liquid phase. For this, vectors on instantaneous velocity fields are analyzed over the entire statistical ensemble of instantaneous realizations considering their status: valid—vectors that passed validation procedures, outliers—the ones with incorrect values, out-of-flow—those calculated on insufficient number of seeding particles (tracers), masked—they correspond to unilluminated flow regions. The suggested approach is based on the two basic principles: absence of the tracers in the vapor phase and statistical independence of the successive measurements. The case study is performed for a cavitating 2D symmetric hydrofoil under unsteady cloud cavitation conditions with regular shedding of large-scale cloud cavities. Comparing statistical distribution laws in different flow regions makes it possible to recognize the stable sheet cavity and its pulsating part and determine the location of cloud cavity detachments. This approach for PIV data analysis is shown to be an effective tool to characterize time-averaged distribution of the dispersed phase in cavitating flow based merely on velocity measurements for the liquid phase. Using it allows one to substantially reduce consumption of computational resources and save time when investigating the structure of cavitating flows, limiting to standard PIV measurements in liquid. This method can be also applied to analyze the structure of other types of dispersed two-phase flows.

AB - We present a new method of extracting information on average vapor distribution in a cavitating flow based on statistical processing of PIV data for a liquid phase. For this, vectors on instantaneous velocity fields are analyzed over the entire statistical ensemble of instantaneous realizations considering their status: valid—vectors that passed validation procedures, outliers—the ones with incorrect values, out-of-flow—those calculated on insufficient number of seeding particles (tracers), masked—they correspond to unilluminated flow regions. The suggested approach is based on the two basic principles: absence of the tracers in the vapor phase and statistical independence of the successive measurements. The case study is performed for a cavitating 2D symmetric hydrofoil under unsteady cloud cavitation conditions with regular shedding of large-scale cloud cavities. Comparing statistical distribution laws in different flow regions makes it possible to recognize the stable sheet cavity and its pulsating part and determine the location of cloud cavity detachments. This approach for PIV data analysis is shown to be an effective tool to characterize time-averaged distribution of the dispersed phase in cavitating flow based merely on velocity measurements for the liquid phase. Using it allows one to substantially reduce consumption of computational resources and save time when investigating the structure of cavitating flows, limiting to standard PIV measurements in liquid. This method can be also applied to analyze the structure of other types of dispersed two-phase flows.

UR - http://www.scopus.com/inward/record.url?scp=85120523310&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/71986216-c636-3253-bdb9-5c53d484fbe3/

U2 - 10.1007/s00348-021-03344-y

DO - 10.1007/s00348-021-03344-y

M3 - Article

AN - SCOPUS:85120523310

VL - 62

JO - Experiments in Fluids

JF - Experiments in Fluids

SN - 0723-4864

IS - 12

M1 - 247

ER -