Suppr超能文献

基于排序因子帕累托解的无人机排气系统雷达/红外隐身联合改进

Joint improvements of radar/infrared stealth for exhaust system of unmanned aircraft based on sorting factor Pareto solution.

作者信息

Zhou Ze Yang, Huang Jun

机构信息

School of Aeronautic Science and Engineering, Beihang University, Beijing, 100083, China.

出版信息

Sci Rep. 2021 Apr 15;11(1):8251. doi: 10.1038/s41598-021-87756-0.

Abstract

In order to reduce the radar cross section (RCS) of the unmanned aircraft while suppressing its infrared signature, a comprehensive design method (CDM) based on sorting factor Pareto solution is presented. The physical optics and physical diffraction theory are used to evaluate the electromagnetic scattering characteristics of the aircraft, and the Monte Carlo and ray tracing method are used to evaluate the infrared radiation intensity of the exhaust system. CDM is used to evaluate and screen each individual in each offspring, and the design parameters and sub-models of the aircraft exhaust system are continuously improved. The results show that the exhaust port model, lower baffle and nozzle height are the main factors affecting the RCS indicators, nozzle stages, exhaust port model, lower baffle and outer width make the main contribution to infrared radiation suppression. The presented CDM is efficient and effective in enhancing the radar/infrared integrated stealth performance of the aircraft.

摘要

为了降低无人机的雷达散射截面(RCS)并抑制其红外特征,提出了一种基于排序因子帕累托解的综合设计方法(CDM)。采用物理光学和物理衍射理论评估飞机的电磁散射特性,采用蒙特卡罗和光线追踪方法评估排气系统的红外辐射强度。CDM用于评估和筛选每个子代中的个体,并不断改进飞机排气系统的设计参数和子模型。结果表明,排气口模型、下部挡板和喷管高度是影响RCS指标的主要因素,喷管级数、排气口模型、下部挡板和外部宽度对红外辐射抑制起主要作用。所提出的CDM在提高飞机的雷达/红外综合隐身性能方面是高效且有效的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf09/8050221/f179ee384a55/41598_2021_87756_Fig4_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验