Paper
25 May 2023 Nozzle design and flow field analysis of low recoil gun
Zhengang Liang, Junyu Shan, Shuai Yue, Zhonghua Du
Author Affiliations +
Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 1263646 (2023) https://doi.org/10.1117/12.2675152
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China
Abstract
Based on the actual engineering requirements, this paper designs a nozzle for low recoil gun to reduce recoil. Based on the empirical formula, the nozzle throat diameter, outlet diameter, convergent section angle and divergent section angle of the nozzle are numerically calculated. Then the flow field at the nozzle outlet is simulated and analyzed by Fluent software. The maximum thrust of the nozzle is 70,000 N, and the total impulse is 267487.9935N·s, which is 31.9% less than that of the same type gun without nozzle, reaching the design requirements. The temperature at the outlet of the nozzle is 1330K, and the average temperature at the transition zone is about 775K. This nozzle can meet the application requirements.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhengang Liang, Junyu Shan, Shuai Yue, and Zhonghua Du "Nozzle design and flow field analysis of low recoil gun", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 1263646 (25 May 2023); https://doi.org/10.1117/12.2675152
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KEYWORDS
Nozzles

Design and modelling

Throat

Clouds

Flame

3D modeling

Artillery

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