网络安全与数据治理2024，Vol.43Issue(2)：42-48,7.DOI:10.19358/j.issn.2097-1788.2024.02.007
基于机器学习建模的液体火箭发动机喷管内型面优化设计
Profile design and optimization of liquid rocket engine nozzle based on machine learning
李晨沛 1周晨初 1高玉闪 1胡海峰1
作者信息
- 1. 西安航天动力研究所, 陕西 西安 710100
- 折叠
摘要
Abstract
The nozzle is an important part of the liquid rocket engine to provide the thrust.The structure of the nozzle profile could directly affect the flow of combustion gas in the nozzle,and then impact on the performance of the engine.In this paper,B-spline curve is used to construct the paraboloid profile of the nozzle.Based on the Computational Fluid Dynamics(CFD)flow field of sample set,the nozzle performance is evaluated with specific impulse as the optimal variable.The results show that the optimized nozzle profile obtained by the surrogate model is consistent with that by the characteristic line method,and the maximum error is 0.28%.In this work,the internal profile design and optimization is realized via the surrogate model and mesh auto-deformation method,and the optimization efficiency is improved.关键词
内型面/比冲/机器学习/网格变形Key words
internal profile/specific impulse/machine learning/mesh auto-deformation method分类
航空航天引用本文复制引用
李晨沛,周晨初,高玉闪,胡海峰..基于机器学习建模的液体火箭发动机喷管内型面优化设计[J].网络安全与数据治理,2024,43(2):42-48,7.
