Cavitation erosion modelling – comparison of different driving pressure approaches

Luka Kevorkijan (Author), Marko Pezdevšek (Author), Ignacijo Biluš (Author), Gorazd Hren (Author)

Abstract

In this paper we compared different driving pressure approaches to calculate the cavitation potential energy from a source, which is transferred to a surface. The first approach used the reference pressure, the second approach used the pressure calculated at each timestep with no averaging, the third approach used the averaged pressure values from all timesteps included in one shedding cycle, and the last approach used pressure values from the steady state simulations results. The results show that for all formulations the averaged pressure values and steady state pressure values give similar results in terms of mean potential power distribution on the hydrofoil surface as in absolute values. The reference pressure approach gave similar results for the derivative and divergence formulation while for the source term the mean potential power distribution on the hydrofoil surface differs and the maximums were near the leading edge. The approach where we used no pressure averaging gave adequate results in terms of mean potential power distribution but differs from other approaches in absolute values which were considerably lower for all potential power formulations.

Keywords

kavtiacija;erozijski potencial;vozni tlak;numerične simulacije;cavitation;erosion potentional;driving pressure;numerical simulations;

Data

Language:	English
Year of publishing:	2023
Typology:	1.01 - Original Scientific Article
Organization:	UM FS - Faculty of Mechanical Engineering
Publisher:	DAAAM International Vienna
UDC:	519.6:620.1
COBISS:	155289603
ISSN:	1726-4529
Views:	400
Downloads:	270
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	Slovenian
Secondary keywords:	kavtiacija;erozijski potencial;vozni tlak;numerične simulacije;
Type (COBISS):	Scientific work
Pages:	str. 233-244
Volume:	ǂVol. ǂ22
Issue:	ǂno. ǂ2
Chronology:	June 2023
DOI:	10.2507/IJSIMM22-2-639
ID:	22967229