敏捷制造模式下的质量保证信息系统

客户驱动的动态的全球市场及地理上分布的合作伙伴给开发敏捷制造模式下的质量保证信息系统(QAIS)带来了新的挑战,本文先对敏捷制造模式下的QAIS进行了需求分析,提出了新的分布式QAIS的实现框架,利用当前迅速发展的信息技术,建立了QAIS的开发环境并对有关关键技术进行了初步研究,最后开发完成了一个基于Web的QAIS原型系统.     

三硝基间苯二酚中硫酸测定的研究

本文研究了硫酸钡在氨水溶液中与ＥＤＴＡ的反应条件，提出用ＥＤＴＡ滴定法测定三硝基间苯二酚中的硫酸。本法准确度较高，稳定性好，操作简单，与样品标准值对照，结果满意。     

钢板数控下料排样的一种优化算法

讨论了毛坯需求需要精确满足的不规则型毛坯数控气割下料排样问题。采用组块剪切排样法,排样时首先形成矩形组块,然后使组块在板材上优化排列。本文对两维约束排样算法进行修改,使之能生成所述排样问题的切割方式。最后应用所述算法给出变压器生产中钢板数控下料实例的优化排样方案,并与手工排样结果进行了对比     

Solar flare forecasting model supported with artificial neural network techniques

Nowadays operational models for solar activity forecasting are still based on the statistical relationship between solar activity and solar magnetic field evolution. In order to set up this relationship, many parameters have been proposed to be the measures. Conventional measures are based on the sunspot group classification which provides limited information from sunspots. For this reason, new measures based on solar magnetic field observations are proposed and a solar flare forecasting model supported with an artificial neural network is introduced. This model is equivalent to a person with a long period of solar flare forecasting experience.     

飞行中大气瞬时温度的获取

根据＊＊飞机上，ＣＷ－１００２和Ⅱ－５的试飞结果，对两种产品的性能做了对比分析；对飞行中大气温度的获取方法提出了的新意见。     

现代巡航导弹突防中的雷达极化技术

现代巡航导弹普遍采用雷达导引头进行末制导,雷达导引头在保证现代巡航导弹打击精度方面发挥着重要作用.在复杂电磁干扰环境条件下,雷达导引头的抗干扰能力和战场适应能力,在很大程度上决定着现代巡航导弹的杀伤力和战斗力.提高雷达导引头的抗干扰能力成为各军事强国提高精导武器作战效能的主要发展方向之一.从现代巡航导弹适应复杂战场的电磁干扰环境入手,指出雷达极化技术是提高巡航导弹的电子突防能力的重要技术手段.     

推广使用REM37BY电嘴

在我院使用的活塞发动机飞机中,点火系统故障率居高不下,其中又以电嘴积铅带来的发动机抖动故障居多。本文通过对比分析,以及实际监控使用的具体情况,证明了REM37BY电嘴能使这一故障大大减少,并且能节约成本,缩短工时,具有较大的推广价值。     

纳米硅薄膜的氧化特性

将ｎｃ－Ｓｉ：Ｈ薄膜进行等离子和高温氧化处理，测量了样品的氢，氧含量，Ｒａｍａｎ谱，红外吸收谱，光致发光（ＰＬ），结果表明两种氧化方式都将氧掺入薄膜中，但不同处理方式氧在薄膜中的键合形式不同Ｒａｍａｎ谱表明氧化处理对薄膜中晶粒大小及晶态比没有影响，用晶粒－表面模型对氧化引起的光致发光（ＰＬ）蓝移进行了解释。     

环形过渡元素及其在轮盘振动分析中的应用

 本文发展了联结环形等参数元素和环形厚板元素的一类环形过渡元素,它对于轴对称体的结构动力分析具有重要意义。环形元素采用了半解析的方法,把三维问题降为二维问题来处理,大大节省了计算机存贮量及计算时间。文中对某实际涡轮盘的振动特性进行了计算,其结果是令人满意的。     

Solar activity prediction studies and services in NAOC

Solar activity prediction services started in 1960’s in National Astronomical Observatories, Chinese Academy of Sciences (NAOC). As one of the members of the International Space Environment Service (ISES), Regional Warning Center of China (RWC-China) was set up in 1990’s. Solar Activity Prediction Center (SAPC), as one of the four sub-centers of RWC-China, is located in NAOC. Solar activity prediction studies and services in NAOC cover short-term, medium-term, and long-term forecast of solar activities. Nowadays, certain prediction models, such as solar X-ray flare model, solar proton event model, solar 10 cm radio flux model, have been established for the practical prediction services. Recently, more and more physical analyses are introduced in the studies of solar activity prediction, such as the magnetic properties of solar active regions and magnetic structure of solar atmosphere. Besides traditional statistics algorithms, Machine Learning and Artificial Intelligence techniques, such as Support Vector Machine (SVM) method, are employed in the establishment of forecast models. A Web-based integrated platform for solar activity data sharing and forecast distribution is under construction.