Numerical modeling of gaseous cavitation in cfd of hydraulic oil flow based on dynamic stimulation

Yudai Matsuura, Kento Kumagai, Yuka Iga

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In this paper, the cavitation phenomenon in hydraulic oil is investigated, and a new gaseous cavitation model based on the dynamic stimulation is examined. Before modeling, to confirm the characteristics of cavitation occurrence in hydraulic oil flow, the comparison of our previous experiment with the pressure distribution by CFD has been conducted. It is clarified that the region where the cavitation bubbles appear do not agree with the low pressure region, which indicates they are not in the case of vaporous cavitation. This comparison indicates that the gaseous cavitation has been occurred predominantly in the previous experiment. In modeling, the dynamic stimulation of unsteady flow field is assumed to play a major role in the liberation of dissolved air. The dynamic stimulation is transferred into the dimension of pressure and applied to the threshold pressure of liberation. Several models considering dynamic stimulation are proposed and comparison of the effect of those models has conducted to estimate the most appropriate modeling.

Original languageEnglish
Title of host publicationASME/BATH 2017 Symposium on Fluid Power and Motion Control, FPMC 2017
PublisherAmerican Society of Mechanical Engineers
ISBN (Electronic)9780791858332
DOIs
Publication statusPublished - 2017
EventASME/BATH 2017 Symposium on Fluid Power and Motion Control, FPMC 2017 - Sarasota, United States
Duration: 2017 Oct 162017 Oct 19

Publication series

NameASME/BATH 2017 Symposium on Fluid Power and Motion Control, FPMC 2017

Conference

ConferenceASME/BATH 2017 Symposium on Fluid Power and Motion Control, FPMC 2017
Country/TerritoryUnited States
CitySarasota
Period17/10/1617/10/19

Fingerprint

Dive into the research topics of 'Numerical modeling of gaseous cavitation in cfd of hydraulic oil flow based on dynamic stimulation'. Together they form a unique fingerprint.

Cite this