导弹与固体火箭-冲压组合发动机协调设计

 本文综合导弹和固冲组合发动机的相互影响,提出了导弹与固冲组合发动机的协调设计方法。文中选取导弹发射重量和理论脱靶量为设计指标,应用多目标数学规划确定导弹总体参数和固冲发动机结构面积比。本文所用方法及程序可用于方案论证和改型研宄。     

双管头部进气旋流-突扩燃烧室冷态流场研究

本文对双管头部进气旋流-突扩燃烧室模型进行了冷态流场试验研究,以探索进气方式(全旋型或部分旋型)、旋流强度(旋流数S或旋流角(?))、旋流室出口扩张角2α、旋流室长径比l/d、内通道相对面积F等参数对燃烧室流场结构的影响规律.结果表明,适当选择燃烧室结构参数可以在燃烧室中形成稳定的中心回流区和头部旋涡回流区.当(?)=45°、α=15°、l/d=1.3、F=0.41时,除了形成旋流室回流区外,在其尾部还形成了一个较大的、切向分速较低的中心回流区,两者“联串”在一起.部分旋的中心回流区长度与相同旋流角全旋进气时的回流区长度几乎相等,但总压损失却降低63.4%.     

Temporal evolution of the RCS of aircraft wake vortices

Knowledge of the radar scattering characteristics is one of the key issues for the development of wake vortex detection technology. This paper studies the temporal evolution of the RCS (radar cross-section) of wake vortices. The RCS–time plot is observed to increase as a whole and step at a certain time. These properties could provide help to the design of wake vortex detection radar and the optimization of radar station layout. The special spiral structures within the wake, together with the Bragg scattering theory, are used to well explain these phenomena, and some representative radar experiments are also included to verify them.     

切削参数对SiCp/Al复合材料铣削棱边形貌的影响

针对20vol%的SiC_p/Al复合材料的棱边缺陷问题,利用单因素实验对其进行面铣,研究了切削参数对出口棱边形貌的影响。研究结果表明:出口棱边形貌受铣削速度变化的影响较大,在低速(40和80 m/min)和高速(200 m/min)时棱边形貌均较好;当进给量为0.02和0.04 mm/r时,出口棱边主要存在毛刺。随着进给量的不断增大,棱边出现了严重的缺陷和表层剥落,之后棱边又以少量的毛刺和缺陷为主。当只改变轴向切深时,出口棱边均会出现严重的缺陷,只改变轴向切深对改善棱边形貌质量效果不显著。因此,当铣削速度为低速或高速、进给量较小且轴向切深适中时,SiC_p/Al才能获得较好的出口棱边形貌。     

浅谈不断发展中的航天工艺工作

针对航天工艺工作中存在的不重视工艺工作,缺乏工艺创新、工艺精细化研究的问题,提出工艺与设计并行研发,增强工艺创新,加大工艺改革投资等措施,以期推进航天工艺工作进一步发展。     

组合夹具在型号飞机焊接导管加工中的作用

我公司在某型号飞机的研制过程中,组合夹具以它独特的方式发挥了很大作用。尤其是在０１架装配导管的最后阶段,组合夹具更显示出它“短、频、快”的威力,保证了该机所需的所有取样焊接导管的拼装夹具都能在２４小时内交付使用,极大地缩短了生产周期,节约了科研生产制造成本,为型号机按时进行最后的总装打下了良好基础。某型号机的导管与以往机型的导管相比,有数量多、管径大、接头多的特点,而且导管变形量大,给零件定位带来诸多不便。这样的导管如采用专用焊接夹具加工无疑很难保证按时完成加工任务。该型号在１９９５年研制过程中…     

搅拌摩擦加工调控镁合金组织与耐腐蚀性能的发展现状与趋势

近年来,航空航天领域轻量化进程发展迅速,镁合金在其中扮演着越来越重要的角色.然而,镁合金耐腐蚀性不佳的特点制约了镁合金的应用范围.本文综述了搅拌摩擦加工技术调控含第二相镁合金耐腐蚀性能的研究现状,从动态再结晶和加速第二相破碎、固溶两个角度,论述了搅拌摩擦加工调控镁合金组织的基本原理,并分析了搅拌摩擦加工改善含粗大第二相...     

基于特征模型的某型无人机智能PID控制器

无人机的飞行特性在很大程度上取决于其飞行控制律。本文以无人机的姿态控制回路为研究对象,分析了表征该无人机姿态控制特性的特征状态信息。利用特征建模的方法,设计一种基于控制对象特征模型的无人机姿态回路仿人智能P ID控制器,并进行了仿真试验。结果表明,该控制器具有较好的抗干扰和自适应能力,结构简单,针对性强,易于实现。     

Phase asynchrony between coronal index and sunspot numbers

In this paper, the phase asynchrony between coronal index and sunspot numbers is investigated. It is found that, (1) the sunspot numbers begin one month earlier than coronal index, which should mathematically lead to phase asynchrony between them but with a slight effect; (2) the 11-year Schwabe cycle is the only one period with statistical significance for coronal index and sunspot numbers, and the difference between the length of the Schwabe cycle of them should also lead to phase asynchrony between them; (3) although coronal index and sunspot numbers are coherent in low-frequency components corresponding to the 11-year Schwabe cycle, they are asynchronous in phase in high-frequency components; (4) their different definitions and physical meanings may be a major reason why there is a phase asynchrony between them.     

Fault detection and isolation in GPS receiver autonomous integrity monitoring based on chaos particle swarm optimization-particle filter algorithm

The receiver autonomous integrity monitoring (RAIM) is one of the most important parts in an avionic navigation system. Two problems need to be addressed to improve this system, namely, the degeneracy phenomenon and lack of samples for the standard particle filter (PF). However, the number of samples cannot adequately express the real distribution of the probability density function (i.e., sample impoverishment). This study presents a GPS receiver autonomous integrity monitoring (RAIM) method based on a chaos particle swarm optimization particle filter (CPSO-PF) algorithm with a log likelihood ratio. The chaos sequence generates a set of chaotic variables, which are mapped to the interval of optimization variables to improve particle quality. This chaos perturbation overcomes the potential for the search to become trapped in a local optimum in the particle swarm optimization (PSO) algorithm. Test statistics are configured based on a likelihood ratio, and satellite fault detection is then conducted by checking the consistency between the state estimate of the main PF and those of the auxiliary PFs. Based on GPS data, the experimental results demonstrate that the proposed algorithm can effectively detect and isolate satellite faults under conditions of non-Gaussian measurement noise. Moreover, the performance of the proposed novel method is better than that of RAIM based on the PF or PSO-PF algorithm.