Multiphase flow characteristics and gas loss in the shear layer on a ventilated supercavity wall

Authors

Wang Zou¹ , Tingxu Liu¹ , Xingqun Gao¹ , Yongkang Shi¹

1. Shanghai Jiao Tong University, Shanghai 200240, China

Conference / event

Chinese Congress of Theoretical and Applied Mechanics -2021+1, November 2022 (Virtual)

Poster summary

Ventilated supercavities are being studied to reduce underwater drag, but maintaining and controlling their stability are challenging. Accurately predicting the supercavity shape under various flow conditions is crucial and the key is to understanding the gas loss law of supercavities. We numerically analyze shear flows on ventilated supercavitaty walls based on the gas–vapor–water multi-fluid model. It is shown that the external shear layer is thinner and has an irregular outer boundary compared to the internal layer. Analysis reveals similar velocity changes along the radial direction in the shear layer for all phases, but gas and water phases show opposite distribution trends. When natural cavitation occurs, vapor accumulates in the head of the supercavity and its velocity is higher than gas velocity and slightly lower than water velocity. Based on these findings, a gas loss model for ventilated supercavitating flows is established and validated.

Keywords

Ventilated supercavitating flow, Multi-fluid model, Gas loss, Shear flow

Research areas

Ocean Sciences, Physics

References

No data provided

Funding

1. the National Natural Science Foundation of China (No. 11972228)
2. the University-Industry Collaborative Education Program (No. 202102273002)

Supplemental files

1. the manuscript   Download
2. The URL and QR code of the video   Download

Additional information

Competing interests

No competing interests were disclosed.

Data availability statement

The datasets generated during and / or analyzed during the current study are available from the corresponding author on reasonable request.

Creative Commons license

Copyright © 2023 Zou et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.