ZR3#轧机轧制硅钢片横向厚度精度的改善

在分析武钢ZR3#森吉米尔(Sendzimer)带钢冷轧机(工作辊Φ63.5 mm×1 180 mm,第一中间辊Φ102 mm,第二中间辊Φ173 mm)冷轧硅钢片的轧制工艺和辊型对钢板横向精度控制影响的基础上,调整和改进ASU轧辊的辊型和1～4道次的压下工艺减少压下设定张力,并将上工作辊改为两端带锥度的平辊,下工作辊仍采用3%凸辊.改进后轧制结果表明,ZR3#轧机轧制的无取向低牌号硅钢板的边降区由30～50 mm缩小到25 mm以内,横向厚度差由25 μm减小到15 μm.     

基于集成运算放大器的精密电压电流幅值变换器

介绍了用于变压器自动检测仪的一种基于集成运算放大器的精密电压、电流幅值变换器,及其设计的关键技术.     

测量雷达天线座轴系精度分析

本文分析了影响测量雷达天线座轴系精度的一主要因素,为轴系设计提供参考。     

高精度齿轮综合误差检测仪的设计

讨论了设计高精度齿轮综合误差检测仪的必要性，介绍了齿轮综合误差的检测方法和高精度齿轮综合误差检测仪的工作原理、结构特点和测量电路框图。     

基于田口质量观的机械产品选配方法

为减少选配后的机械产品由于功能波动而造成的损失,将田口博士提出的质量损失函数运用到机械产品选配活动中。分析Artiles多变量损失函数的局限性,提出基于信噪比(sNR)的多元质量特性损失函数来定量表达零部件多个质量特性的损失权重及损失成本,以及把配合偏差的质量损失函数作为衡量配合精度的有效指标。在综合考虑机械产品多处配合精度与各零部件多元质量特性下,利用整数规划思想,建立面向选配的产品质量损失成本模型(P-QLC),在保证产品质量损失成本最小化的情况下,达到最优选配组合的目的。实例验证该方法的有效性。     

数控高速高精运动控制方法的研究

介绍了数控高速高精运动控制的重要意义，分析了传统数控运动控制方式的缺陷和不足。主要从异步插补、跨段加减速控制，加工轨迹优化三个方面提出实现高速高精运动控制的方法。     

微米和中间尺度机械制造

微米和中间尺度机械制造的概念源于对广泛材料范围内的精密三维微米和中间尺度零件日益增长的需求。微米和中间尺度零件是指尺寸在0.01～10mm范围的微小零件,因而处于基于微电子的MEMS技术与传统的机械加工技术之间的领域。然而,目前的设备性能和尺寸计量方法生产单个微米和中间尺度零件的能力已经显示出局限性。因此,许多研究者正在探索有关新的或传统的机械制造技术在该尺度的应用问题。基于美国国家科学基金会主办的微米和中间尺度机械制造专题讨论会,介绍了日渐显现的微米和中间尺度机械制造技术的背景和现状,讨论了其应用的科学、技术和商业化挑战,以及其有效开展和实现的主要使能技术,给出了需要广泛研究与发展的几个主要方面问题。最后,提出了开展和证明微米和中间尺度机械制造可行性研究比较有希望的方法和策略。以此希望能对我国微米和中间尺度机械制造技术领域的研究有所启迪。     

高密度光盘径向动态特性测量方法研究

分析了现有光盘径向动态特性测量方法的特点，深入研究了一种适用于高密度光盘径向动态特性的基于过道波形信号连续测量方法及其具体实现。比较了该方法与国际标准推荐的测量方法的测量精度，结果表明该方法精度更高，更能适应未来高密度光盘的测试要求。     

Evaluating the precision of eight spatial sampling schemes in estimating regional means of simulated yield for two crops

We compared the precision of simple random sampling (SimRS) and seven types of stratified random sampling (StrRS) schemes in estimating regional mean of water-limited yields for two crops (winter wheat and silage maize) that were simulated by fourteen crop models. We found that the precision gains of StrRS varied considerably across stratification methods and crop models. Precision gains for compact geographical stratification were positive, stable and consistent across crop models. Stratification with soil water holding capacity had very high precision gains for twelve models, but resulted in negative gains for two models. Increasing the sample size monotonously decreased the sampling errors for all the sampling schemes. We conclude that compact geographical stratification can modestly but consistently improve the precision in estimating regional mean yields. Using the most influential environmental variable for stratification can notably improve the sampling precision, especially when the sensitivity behavior of a crop model is known.     

Visual–inertial navigation for pinpoint planetary landing using scale-based landmark matching

Landing an autonomous spacecraft within 100 m of a mapped target is a navigation challenge in planetary exploration. Vision-based approaches attempt to pair 2D features detected in camera images with 3D mapped landmarks to reach the required precision. This paper presents a vision-aided inertial navigation system for pinpoint planetary landing called LION (Landing Inertial and Optical Navigation). It can fly over any type of terrain, whatever the topography. LION uses measurements from a novel image-to-map matcher in order to update through a tight data fusion scheme the state of an extended Kalman filter propagated with inertial data. The image processing uses the state and covariance predictions from the filter to determine the regions and extraction scales in which to search for non-ambiguous landmarks in the image. The image scale management process operates per landmark and greatly improves the repeatability rate between the map and descent images. A lunar-representative optical test bench called Visilab was also designed in order to test LION. The observability of absolute navigation performances in Visilab is evaluated with a model developed specifically for this purpose. Finally, the system performances are evaluated at a number of altitudes along with its robustness to off-nadir camera angle, illumination changes, a different map generation process and non-planar topography. The error converges to a mean of 4 m and a 3-RMS dispersion of 47 m at 3 km of altitude on the test setup at scale.