1.2m跨超声速风洞超扩段栅指控制系统

对 1 .2m跨、超声速风洞栅指M数控制系统作了较为详细的介绍 ,包括硬件系统的设计、硬件配置、功能选择和软件设计 ,以及本系统与风洞总压控制系统的连接和通讯 ,最后给出了 1 .2m跨、超声速风洞栅指M数控制系统的调试结果     

增压连续式跨声速风洞防喘振措施——旁路调节的研究

压缩机的设计与制造性能尚不能充分适应风洞的运行范围 ,安全、可靠的防喘振措施是保证风洞安全运行的重要条件之一。作者讨论了旁路调节作为风洞中防喘振措施的可行性。在考虑跨声速风洞中气体压缩性的基础上 ,给出了风洞中旁路调节的估算方法 ,分析和讨论了旁路对风洞性能的影响。结果表明 :旁路的增加 ,使风洞工作点向大流量、低压缩比方向移动 ,达到有效、可靠防喘振的目的     

HY-750开口回流低速风洞

介绍了HY 75 0风洞的结构、动力系统和测试系统的组成及特点。对风洞流场进行了校测 ,结果表明 ,风洞流场品质较好 ,主要指标优于××标准规定 ,标模实验精度也达到了标准规定的合格指标。从风洞使用情况看 ,交流变频矢量控制技术在风洞中使用是可行的 ,软件平台Labview在风洞测试系统的应用也是成功的。该风洞不仅能满足测力、测压、流场演示等教学需要 ,还将在科学研究和型号研制、实验中发挥一定作用     

通用有限元NASTRAN中的阻尼计算问题

阻尼是影响动力学模型分析，尤其是动态响应分析的关键问题。在通用元有限元NASTRAN软件中，阻尼不仅有多处设置，而且与分析类型有关。文中分析了各阻尼设置与阻尼项的关系及物理机理及其注意的问题。最后给出了阻尼计算的实例。     

细长体大迎角绕流的滚转角特性

尖拱和钝拱细长体的截面侧向力分布呈现明显的滚转角效应。不同滚转角下尖拱侧向力沿轴向分布曲线(CC～x/D)的相位和半周期各不相同,截面侧向力随滚转角变化(CC～)呈现一定的无规律性;而钝拱CC～x/D曲线的相位和半周期基本相同,但振幅值大小依赖于滚转角,CC～分布呈完全的无规律性。尖拱模型头部的加工精度导致的微扰动使得尖拱CC～x/D分布变成型式基本一致的两簇曲线,其特征点和半周期分别对应相同,CC～分布呈现典型的双周期方波。     

缝隙耦合HT对特性的分析

分析了通过窄缝隙耦俣的矩形波导Ｈ面Ｔ形接头对（以下简称ＨＴ对）的电气特性，利用等效原理和切向场连续性建立积分方程组，采用矩量法化积分方程为代数方程进行数值求解，获得散射场和等效散射参数，以Ｘ波段标准矩形波导ＨＴ接头对为例进行具体求解和计算，以及实验验证，得到良好结果。     

航空航天机电伺服系统可靠性设计综述

针对航空航天机电伺服系统,进行了简略的国内外可靠性发展历史和现状的介绍;针对系统中伺服电机、伺服机构和伺服驱动器的可靠性分析方法、失效模式和可靠性设计方法进行了阐述,并对机电伺服系统可靠性设计提出了冗余的设计思想;随后根据国外最新的机电伺服系统设计技术提出了国内的相关产品的发展趋势;最后从设计、方法、试验、数据、人员等方面提出了我国机电伺服系统可靠性发展的不足.     

Characterizing slope correction methods applied to satellite radar altimetry data: A case study around Dome Argus in East Antarctica

Slope correction is important to improve the accuracy of satellite radar elevation measurements by mitigating the slope-induced error (SE), especially over uneven ground surfaces. Although several slope correction methods have been proposed, guidance in the form of stepwise algorithm on how to implement these methods in processing radar altimetric data at the coding level, and the differences among these methods need to be presented and discussed systematically. In this paper, three existing types of slope correction methods—the direct method (DM), intermediate method (IM), and relocation method (RM, further divided into RM1 and RM2)—are described in detail. In addition, their main differences and features for various scientific applications are analyzed. We conduct a systematic experiment with CryoSat-2 Low Resolution Mode (LRM) data in a physically stable area around Dome Argus in East Antarctica, where in-situ measurements were available for comparison. The slope correction is implemented separately using the three methods, with the latest high-accuracy Reference Elevation Model of Antarctica (REMA) as the a-priori topography model. The bias and precision of the slope-corrected CryoSat-2 data results from the RM2 is ?0.18 ± 0.86 m based on the comparison with the field Global Navigation Satellite System (GNSS) data. The results from the RM2 indicate higher precision compared to those from the RM1. According to the correlation analysis of the slope-corrected CryoSat-2 data results (RM1 and RM2), the bias enlarges and the precision becomes worse when the surface slope increases from 0 to 0.85°. After a comprehensively comparative analysis, we find that the results from the RM1 and RM2 are superior in precision (0.93 m and 0.86 m) with respect to the GNSS data. The relatively low precision (1.22 m) from the IM is due to the potential error from the a-priori digital elevation model (DEM). The DM has the lowest precision (2.66 m). Another experiment over rough topography in West Antarctica is carried out for comparison, especially between the RM1 (precision of 15.27 m) and RM2 (precision of 16.25 m). In general, the RM is recommended for the SE elimination among the three methods. Moreover, the RM2 is firstly considered over smooth topography due to the superior performance in bias and precision, while the RM1 is more suggested over the rough topography because of the slightly smaller bias and better precision. The IM relies much on the accuracy of the a-prior DEM and is not usually recommended, because of the strict requirement in the sampling time between the radar altimetry data and the a-priori DEM to avoid any surface change over time.     

基于串行接口7289的单片机学习板设计

以ST89C51为核心的单片机学习板,用串行的接口芯片7289进行键盘显示器的控制,极大的节省了单片机的I/O口线,使得该系统板可以添加更多的硬件资源。简单实用的USB下载,为学生课外学习、课程设计、电子竞赛练习提供了方便。     

计算机辅助创新技木助推中国航空工业快速发展——CAI在中国航空工业领域的应用

计算机辅助创新(CAI)凭借其先进的创新理论方法和高效的创新设计平台,整合先进的仿真、管理等技术,将成为我国航空工业走向自主创新的有效途径.