CISA 3D Navier—Stokes程序在压气机中的鉴别和应用

用压气机叶栅试验数据、多级压气机的第4级静子计算结果和跨声速转子试验结果对CISA 3D N-S程序的计算精度进行了鉴别研究。结果表明,该程序对设计点的落后角的计算精度较高,而对损失的计算还存在一定的分散度。采用 CISA 3D N-S程序和S_2-S_1程序对一台多级压气机试验件的第3级静子进行三维造型修改设计,取得了预期的效果。     

电子企业集团生态位状态的突变模型

社会经济系统的运行规律同生态系统之间存在着极强的相似性和关联性.运用生态学方法解析企业集团生态位现象,并结合系统论和突变论的思想,提出了企业集团生态住因子维度体系,构建了中国电子企业集团生态位突变模型,既为企业仿生研究提供了一个新的研究视角,也可对企业战略管理具有一定的指导作用.     

曲轴多参数气动测量系统

介绍采用气电转换技术研制的多通道气动测量系统,用于汽车发动机曲轴自动线终检工序后效果良好。简述了系统的结构和原理以及软件流程。     

用微分法推导拉压静不定变形谐调方程

材料力学中，解决桥架拉压静不定问题时，推导变形谐调方程是其关键，以往都是用图解法近似导出变形谐调方程，本文作者提出用微分法导出普遍适用的变形谐调方程：△ｌ１＋△ｌ２＝２△３ｃｏｓα。     

锻造工艺对ЗП866合金组织和性能的影响

为了利用ЗП866合金制造出组织和性能都符合一定技术要求的零件，对ЗП866合金的锻造工艺与组织和性能的关系进行了研究。通过不同加热温度、不同变形程度对合金组织、性能影响的研究，确定出较佳的合金锻造工艺参数，并按此工艺生产出合格的典型零件。     

三维流场的光学C.T技术

本文介绍了三维流场光学Ｃ．Ｔ技术的原理，实验方法和重建算法，给出了计算机模拟研究的方法和应用实例。     

Implementation of EIDE disk array system for mass data backup

Today, EIDE hard disk drives have become the mainstream products in low-end storage applications. An inexpensive disk array system based on EIDE hard disk drives is proposed, which has not only much higher speed than a tape library but also much lower price than a general SCSI or fibre channel disk array. Each string controller in a disk array can support up to 16 hard disk drives (4TB) and multiple RAID levels (RAID 0,1,0+1,3, 5, NRAID or JBOD). It also provides multiform interfaces for the host computer, including SCSI, USB, FireWire, EIDE, Serial ATA, etc. Since this kind of disk array has excellent price performance ratio, it is worth using in a mass data backup area instead of tape equipments and other low-end secondary storage applications.     

发动机舱门及后机身结构一体化综合设计

针对某型机后机身并列配置两台发动机的特点,提出了一种腹部大开口结构及发动机承力快卸舱门一体化综合设计方案,通过合理划分舱门、设计专利钩形快卸锁、优化布置钩锁-插销锁,以及采取一系列设计、工艺措施保证快卸锁与机体的可靠连接等创新技术,使该设计方案达到了既定目标。     

基于逐次升阶的翼型参数化与气动优化方法研究

研究了基本Bezier样条曲线的特性,对比了不同阶次Bezier曲线对超临界翼型的几何描述能力以及由几何偏差带来的气动性能的偏差。利用Bezier曲线的特性提出逐次升阶的翼型参数化方法,结合改进的粒子群优化算法,建立了逐步扩展设计空间的气动优化设计方法,兼顾设计空间和优化效率,很好地解决了设计质量和设计效率之间的矛盾。最后通过典型翼型的优化设计,对比了文中方法与传统Hicks-Henne型函数方法,验证了文中方法的可行性和高效性。     

Decision table for classifying point sources based on FIRST and 2MASS databases

With the availability of multi-wavelength, multi-scale and multi-epoch astronomical catalogues, the number of features to describe astronomical objects has increases. The better features we select to classify objects, the higher the classification accuracy is. In this paper, we have used data sets of stars and quasars from near-infrared band and radio band. Then best-first search method was applied to select features. For the data with selected features, the algorithm of decision table was implemented. The classification accuracy is more than 95.9%. As a result, the feature selection method improves the effectiveness and efficiency of the classification method. Moreover the result shows that decision table is robust and effective for discrimination of celestial objects and used for preselecting quasar candidates for large survey projects.