B2-RuAl合金基本物性及电子结构计算

采用第一原理赝势平面波方法，计算B2型RuAl金属间化合物的平衡晶格常数、形成热、弹性常数以及点缺陷形成能，与其它计算方法和实验测试的结果进行比较。点缺陷形成能的分析结果表明：富Ru合金出现Ru反位缺陷，富Al合金出现Al反位缺陷。对于上述计算结果，还基于晶体总的电子态密度与各原子分波态密度等电子结构方面的信息对其进行初步分析。     

低速风洞试验数据库系统

风洞空气动力学试验是进行飞行器空气动力学研究的重要手段。如何有效管理和利用好试验数据,是风洞试验的一项重要课题。介绍笔者利用C/S、B/S技术建立的低速风洞试验数据库。     

航空电子综合化系统通信子网设计研究

传统的航空电子综合化系统(IAS)中,通信子网的自治性很差,其管理控制是由应用宿主机来进行的,最终成了限制IAS性能的瓶颈。针对上述问题,研究设计了一个基于MIL-STD-1553B总线的IAS通信子网—1553BCN。1553BCN实现了通信子网的自治管理和容错(降级)运行,并向宿主机提供具有“恰一次”(exactlyonce)可靠性语义的应答式可变长消息通信服务。实践表明,1553BCN能较好地满足IAS的通信要求,可用以构造新一代IAS。     

KM5B空间环境模拟试验设备研制

为满足SAST5000平台卫星及SAR系列卫星整星真空热试验需求,研制成一套大型空间环境模拟试验设备KM5B。该设备采用整体设计、分步实施理念,现已完成立式主容器和右侧卧式容器的建设,后续还可根据需要对其进行扩展。文章概要介绍了该试验设备的技术指标、系统组成、研制特点等。KM5B是我国已建成投入使用的第二大空间环境模拟试验设备。     

B/Al复合板材复合工艺的研究

介绍了热压扩散结合法制备Ｂ／Ａｌ复合板材的工艺过程,研究了热压工艺参数对Ｂ／Ａｌ复合板材性能的影响,获得了热压扩散结合法制备Ｂ／Ａｌ复合板材比较理想的工艺参数,得到了拉伸强度σｂ＝１２８０ＭＰａ、弹性模量Ｅ＝２３３ＧＰａ的Ｂ／Ａｌ复合板材。     

某弹载计算机GJB1188A接口的设计与实现

栽机要求悬挂物必须实现GJB1188A中数据总线(GJB289A)的远程终端(RT)功能,同时实现GJB1188A中任务悬挂物投放允许等接口功能.描述了一种采用TMS320C6713B高速浮点DSP为核心的GJB1188A接口的实现方法,从硬件平台组成、控制逻辑实现、驱动软件结构三个方面来说明GJB289A(RT)功能的实现方法.介绍了任务悬挂物投放允许等接口的一种设计实现方法.从而将以往单一的GJB289A总线接口模块与嵌入式计算机结合在一起.满足了体积和成本上的要求.使嵌入式弹载计算机在GJB1188A接口的前提下实现与机载火控系统的通信、进行同步的数据采集与控制.     

基于MES的生产管理系统应用

通过对某航空企业车间生产管理特点的分析,采用B/S模式以及ASP.NET C# SQL Server2000设计开发基于MES的生产管理系统.介绍该系统的设计原理、软硬件结构图,着重分析说明计划管理系统的开发过程、技术关键及具体实现方法和运行结果.该系统为某航空企业的车间实施计算机管理、提高生产效率提供了有效的工具.     

高能超声对Al-5Ti-1B中间合金组织和细化行为的影响

在A l-5Ti-1B中间合金的制备和重熔过程中引入高能超声处理,研究了其对中间合金组织和细化效果的影响。结果发现:在市售A l-5Ti-1B重熔过程中施加超声处理,可以显著改善合金组织和细化作用;制备过程中施加超声处理可以加速氟盐和铝熔体间反应的进行,均匀化组织,提高细化效果;中间合金制备及凝固过程联合超声处理,不仅可以改变TiA l3相的形貌,而且改变了TiB2聚集团的形态,使其变为疏松的鱼卵状,粒子之间不再存在粘连现象,中间合金的细化效果进一步提高。     

Evaluation of the improvement of IRI-2016 over IRI-2012 at the India low-latitude region during the ascending phase of cycle 24

This paper investigated the performance of the latest International Reference Ionosphere model (IRI-2016) over that of IRI-2012 in predicting total electron content (TEC) at three different stations in the Indian region. The data used were Global Positioning System (GPS) data collected during the ascending phase of solar cycle 24 over three low-latitude stations in India namely; Bangalore (13.02°N Geographic latitude, 77.57°E Geographic longitude), Hyderabad (17.25°N Geographic latitude, 78.30°E Geographic longitude) and Surat (21.16°N Geographic latitude, 72.78°E Geographic longitude). Monthly, the seasonal and annual variability of GPS-TEC have been compared with those derived from International Reference Ionosphere IRI-2016 and IRI-2012 with two different options of topside electron density: NeQuick and IRI01-corr. It is observed that both versions of IRI (i.e., IRI-2012 and IRI-2016) predict the GPS-TEC with some deviations, the latest version of IRI (IRI-2016) predicted the TEC similar to those predicted by IRI-2012 for all the seasons at all stations except for morning hours (0500 LT to 1000?LT). This shows that the effect of the updated version is seen only during morning hours and also that there is no change in TEC values by IRI-2016 from those predicted by IRI-2012 for the rest of the time of the day in the Indian low latitude region. The semiannual variations in the daytime maximum values of TEC are clearly observed from both GPS and model-derived TEC values with two peaks around March-April and September-October months of each year. Further, the Correlation of TEC derived by IRI-2016 and IRI-2012 with EUV and F10.7 shows similar results. This shows that the solar input to the IRI-2016 is similar to IRI 2012. There is no significant difference observed in TEC, bottom-side thickness (B0) and shape (B1) parameter predictions by both the versions of the IRI model. However, a clear improvement is visible in hmF2 and NmF2 predictions by IRI-2016 to that by IRI-2012. The SHU-2015 option of the IRI-2016 gives a better prediction of NmF2 for all the months at low latitude station Ahmedabad compare to AMTB 2013.     

Characteristics of equatorial nighttime spread F – An analysis on season-longitude,solar activity and triggering causes

To understand global variability and triggering mechanisms of ionospheric nighttime equatorial spread F (ESF), we analyzed measurements from satellite and a ground-based GPS station for the years between 2010 and 2017. In this study we present seasonal-longitudinal as well as monthly variability of ESF occurrence for solar minimum and yearly variations of ESF occurrence for solar maximum and minimum periods. One of the long standing open questions in the study of ESF is what exactly initiates the Rayleigh-Taylor (RT) plasma instability growth. This question is the focus of the present work. Zonal background eastward electric field and E × B upward plasma drift speed patterns are found to be critically important in understanding plasma irregularity formation. In addition to particular patterns observed on these parameters, the background plasma density in the local evening hours just before the onset of ESF occurrence is very important. Stronger plasma densities just before the onset of irregularities resulted in stronger plasma irregularities, while relatively less dense plasma just before the onset of irregularities resulted in relatively lower plasma irregularities. Seasonal variations in ESF activity between March and September equinox seasons with comparable plasma densities can be defined in terms of the rate of change of solar flux F10.7 (dF10.7/day) index. Strongest ESF occurrence and strongest dF10.7/day are measured in the same month out of all other months in 2016 and 2017. Longitudinal variations of ESF activity in our measurements are related to longitudinal variations of plasma densities. We also found that ESF occurrence is better correlated with rate of change of F10.7 index for months in equinox seasons than for months in solstice seasons for the years between 2013 and 2016.