Numerical calculation of hydrodynamic performance of marine fire water cannon based on CFD grid error analysis

Yihao Ren; Jun Lv; Huaming Wang; Lin Chen; Huiming Yu; Yijun Shen

doi:10.1117/12.3007255

25 October 2023 Numerical calculation of hydrodynamic performance of marine fire water cannon based on CFD grid error analysis

Yihao Ren, Jun Lv, Huaming Wang, Lin Chen, Huiming Yu, Yijun Shen

Author Affiliations +

Proceedings Volume 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023); 128015V (2023) https://doi.org/10.1117/12.3007255
Event: Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 2023, Dalian, China

Abstract

CFD numerical simulation plays an important role in the design and research of marine fire water cannon. In order to improve the accuracy and reliability of numerical hydrodynamic simulation on the inner flow field of fire water cannon, the present article presented a method based on Richardson extrapolation method to estimate the grid error. And then the low-error computational grids are employed to simulate the inner flow field of the marine fire water cannon with different contraction angles. The change rules of spraying velocity of marine fire water cannon with contraction angles under different inlet pressure are obtained. The results show that optimizing the contraction angle of fire water cannon has a certain effect on reducing turbulence and increasing the velocity of outlet. This study might provide a grid error analysis method for the optimization design of marine fire water cannon by using numerical method in the future.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yihao Ren, Jun Lv, Huaming Wang, Lin Chen, Huiming Yu, and Yijun Shen "Numerical calculation of hydrodynamic performance of marine fire water cannon based on CFD grid error analysis", Proc. SPIE 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 128015V (25 October 2023); https://doi.org/10.1117/12.3007255

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available