TY - JOUR

T1 - Systematic validation study of an unsteady cavitating flow over a hydrofoil using conditional averaging: Les and piv

AU - Ivashchenko, Elizaveta

AU - Hrebtov, Mikhail

AU - Timoshevskiy, Mikhail

AU - Pervunin, Konstantin

AU - Mullyadzhanov, Rustam

N1 - Funding Information: Funding: The work was funded by the Ministry of Science and Higher Education of the Russian Federation (Project No. 075-15-2019-1923). The numerical tools as well as the methods of automatization of data acquisition and processing used in the study were developed under a state contract with IT SB RAS. Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2021/11

Y1 - 2021/11

N2 - We present results of Large-eddy simulations (LES) modeling of steady sheet and unsteady cloud cavitation on a two-dimensional hydrofoil which are validated against Particle image velocimetry (PIV) data. The study is performed for the angle of attack of 9◦ and high Reynolds numbers ReC of the order of 106 providing a strong adverse pressure gradient along the surface. We employ the Schnerr–Sauer and Kunz cavitation models together with the adaptive mesh refinement in critical flow regions where intensive phase transitions occur. Comparison of the LES and visualization results confirms that the flow dynamics is adequately reproduced in the calculations. To correctly match averaged velocity distributions, we propose a new methodology based on conditional averaging of instantaneous velocity fields measured by PIV which only provides information on the liquid phase. This approach leads to an excellent overall agreement between the conditionally averaged fields of the mean velocity and turbulence intensity obtained experimentally and numerically. The benefits of second-order discretization schemes are highlighted as opposed to the lower-order TVD scheme.

AB - We present results of Large-eddy simulations (LES) modeling of steady sheet and unsteady cloud cavitation on a two-dimensional hydrofoil which are validated against Particle image velocimetry (PIV) data. The study is performed for the angle of attack of 9◦ and high Reynolds numbers ReC of the order of 106 providing a strong adverse pressure gradient along the surface. We employ the Schnerr–Sauer and Kunz cavitation models together with the adaptive mesh refinement in critical flow regions where intensive phase transitions occur. Comparison of the LES and visualization results confirms that the flow dynamics is adequately reproduced in the calculations. To correctly match averaged velocity distributions, we propose a new methodology based on conditional averaging of instantaneous velocity fields measured by PIV which only provides information on the liquid phase. This approach leads to an excellent overall agreement between the conditionally averaged fields of the mean velocity and turbulence intensity obtained experimentally and numerically. The benefits of second-order discretization schemes are highlighted as opposed to the lower-order TVD scheme.

KW - Cavitation

KW - Hydrofoil

KW - Large-eddy simulations

KW - Particle image velocimetry

UR - http://www.scopus.com/inward/record.url?scp=85118246566&partnerID=8YFLogxK

U2 - 10.3390/jmse9111193

DO - 10.3390/jmse9111193

M3 - Article

AN - SCOPUS:85118246566

VL - 9

JO - Journal of Marine Science and Engineering

JF - Journal of Marine Science and Engineering

SN - 2077-1312

IS - 11

M1 - 1193

ER -