[an error occurred while processing this directive] [an error occurred while processing this directive] [an error occurred while processing this directive]
[an error occurred while processing this directive]

Research on the Optimization of Gas Deflector Structure Based on Neural Network

  • CHEN Qiqi ,
  • JIANG Yi ,
  • WANG Zhihao ,
  • JIA Qiming
Expand
  • School of Aerospace Engineering,Beijing Institute of Technology,Beijing 100081,China

Received date: 2021-01-02

  Online published: 2025-02-13

Abstract

To optimize the thermal environment of gas deflector,the thermal environment influencing factors of avehicle-mounted single-sided deflector are analyzed by numerical calculation,which proves that the height of the deflector, the turning radiusof the deflector and the distance from the deflector backplane to the launch frame are important parameters, having complex nonlinear relationship with the surface temperature of deflector.Based on the comparison of BP surrogate mathematic model and RBF surrogate mathematic model,the RBF surrogate mathematic model with higher determination coefficient and better stability is selected to optimize the deflector. The flow field numerical calculation of optimization results is carried out,which shows that, on the premise of meeting the maneuverability requirements, the optimized max surface temperature of the deflector is reduced by about 400 K, the thermal environment is significantly improved and the diversion effect is better.The optimization error is within 1%, verified the effectiveness and accuracy of the optimization, which provides a reference for the design and optimization of the gas deflector in the future.

Cite this article

CHEN Qiqi , JIANG Yi , WANG Zhihao , JIA Qiming . Research on the Optimization of Gas Deflector Structure Based on Neural Network[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2021 , 41(4) : 103 -107 . DOI: 10.15892/j.cnki.djzdxb.2021.04.023

[an error occurred while processing this directive]
[1]
盛文成. 燃气导流器的流动特性数值分析[D]. 南京: 南京理工大学, 2011.

[2]
刘念昆. 车载导弹垂直发射装置燃气排导的数值研究[D]. 哈尔滨: 哈尔滨工业大学, 2015.

[3]
李荣. 火炮关键参数误差方案的区间优化及神经网络优选[D]. 南京: 南京理工大学, 2017.

[4]
赵承庆, 姜毅. 气体射流动力学[M]. 北京: 北京理工大学出版社, 1998:30-35.

[5]
SHIN T H, LIOU W W, SHABBIR A, et al. A new k-ε eddy viscosity model for high reynolds number turbulent flows[J]. Computers Fluids, 1995, 24(3):227-238.

[6]
WU J X, TANG L, LUKE E A, et al. Comprehensive numerical study of jet-flow impingement over flat plates[J]. Journal of Spacecraft and Rockets, 2002, 39(3):357-366.

[7]
李国勇, 杨丽娟. 神经·模糊·预测控制及其MATLAB实现[M]. 3版. 北京: 电子工业出版社, 2013:27-31.

[8]
马艳丽, 姜毅, 郝继光, 等. 固体发动机燃气射流对发射平台冲击效应研究[J]. 固体火箭技术, 2010, 33(4):373-376.

[9]
杨风波, 马大为, 任杰, 等. 新型同心筒自力发射热环境优化设计[J]. 固体火箭技术, 2015, 38(2):172-178.

[10]
刘永, 李淑娟, 李言, 等. 基于中心复合设计试验的SiC单晶片超声振动加工工艺参数优化[J]. 机械工程学报, 2013, 49(7):193-198.

[11]
王永菲, 王成国. 响应面法的理论与应用[J]. 中央民族大学学报(自然科学版), 2005, 14(3):236-240.

[12]
苏美娟. 径向基函数神经网络学习算法研究[D]. 苏州: 苏州大学, 2007.

[13]
公茂果, 焦李成, 杨咚咚, 等. 进化多目标优化算法研究[J]. 软件学报, 2009, 20(2):271-289.

Outlines

/

[an error occurred while processing this directive]