一种仪器用高准确度MCXO

针对频率计等仪器中使用温补晶振的特殊情况提出并实现了一种软件数据补偿的特殊ＭＣＸＯ。其补偿原理与传统的方式有所不同，它不是对振荡器进行补偿控制，而是根据温度的变化以数据方式不断修改晶体振荡器的频率标称值来达到提高准确度的目的，当该振荡器被用作标准来测量其它信号或用它产生标准时间信号时，都以其准确的频率为基础进行运算和处理。所以，这种ＭＣＸＯ不但远比同类ＭＣＸＯ简单，而且在构成系统中获得的准确度也高得多     

A toolpath strategy for improving geometric accuracy in double-sided incremental sheet forming

The double-sided incremental forming (DSIF) improved the process flexibility compared to other incremental sheet forming (ISF) processes. Despite the flexible nature, it faces the challenge of low geometric precision like ISF variants. In this work, two strategies are used to overcome this. First, a novel method is employed to determine the optimal support tool location for improving geometric precision. In this method, the toolpath oriented the tools to each other systematically in the circumferential direction. Besides, it squeezed the sheet by the same amount at the point of interest. The impacts of various support tool positions in the circumferential direction are evaluated for geometric precision. The results demonstrate that the support tool should support the master tool within 10° to its local normal in the circumferential direction to improve the geometric accuracy. Second, a two-stage process reduced the geometric error of the part by incrementally accommodating the springback error by artificially increasing the step size for the second stage. With the optimal support tool position and two-stage DSIF, the geometric precision of the part has improved significantly. The proposed method is compared to the best DSIF toolpath strategies for geometric accuracy, surface roughness, forming time, and sheet thickness fluctuations using grey relational analysis (GRA). It outperforms the other toolpath strategies including single-stage DSIF, accumulative double-sided incremental forming (ADSIF), and two-stage mixed double sided incremental forming (MDSIF). Our approach can improve geometric precision in complex parts by successfully employing the support tool and managing the springback incrementally.     

Joint calibration algorithm for gain-phase and mutual coupling errors in uniform linear array

The effect of gain-phase perturbations and mutual coupling significantly degrades the performance of digital array radar (DAR). This paper investigates array calibration problems in the scenario where the true locations of auxiliary sources deviate from nominal values but the angle intervals are known. A practical algorithm is proposed to jointly calibrate gain-phase errors and mutual coupling errors. Firstly, a simplified model of the distortion matrix is developed based on its special structure in uniform linear array (ULA). Then the model is employed to derive the precise locations of the auxiliary sources by one-dimension search. Finally, the least-squares estimation of the distortion matrix is obtained. The algorithm has the potential of achieving considerable improvement in calibration accuracy due to the reduction of unknown parameters. In addition, the algorithm is feasible for practical applications, since it requires only one auxiliary source with the help of rotation platforms. Simulation results demonstrate the validity, robustness and high per-formance of the proposed algorithm. Experiments were carried out using an S-band DAR test-bed. The results of measured data show that the proposed algorithm is practical and effective in appli-cation.     

数控机床校准周期的合理确定

从具体实际出发，充分分析影响机床最终加工精度的诸多因素，应用田口方法科学合理地确定数控机床的最佳校准周期，保障机床加工过程的质量控制。     

A Novel Stable Clustering Design Method for Hierarchical Satellite Network

This article proposes a novel stable clustering design method for hierarchical satellite network in order to increase its stability, reduce the overhead of storage and exert effective control of the delay performances based on a 5-dimensional vector model. According to the function of stability measurement and owing to the limitation of minimal average routing table length, the hierarchical satellite network is grouped into separate stable connected clusters to improve destruction resistance and reconstruction ability in the future integrated network. In each cluster, redundant communication links with little contribution to network stability and slight influences on delay variation are deleted to satisfy the requirements for stability and connectivity by means of optimal link resources, and, also, the idea of logical weight is introduced to select the optimal satellites used to communicate with neighboring cluster satellites. Finally, the feasibility and effectiveness of the proposed method are verified by comparing it with the simulated performances of other two typical hierarchical satellite networks, double layer satellite constellation(DLSC) and satellite over satellite(SoS).     

Enhancement and Validation of the IDES Orbital Debris Environment Model

Orbital debris environment models are essential in predicting the characteristics of the entire debris environment, especially for altitude and size regimes where measurement data is sparse. Most models are also used to assess mission collision risk. The IDES (Integrated Debris Evolution Suite) simulation model has recently been upgraded by including a new sodium–potassium liquid coolant droplet source model and a new historical launch database. These and other features of IDES are described in detail. The accuracy of the IDES model is evaluated over a wide range of debris sizes by comparing model predictions to three major types of debris measurement data in low Earth orbit. For the large-size debris population, the model is compared with the spatial density distribution of the United States (US) Space Command Catalog. A radar simulation model is employed to predict the detection rates of mid-size debris in the field of view of the US Haystack radar. Finally, the small-size impact flux relative to a surface of the retrieved Long Duration Exposure Facility (LDEF) spacecraft is predicted. At sub-millimetre sizes, the model currently under-predicts the debris environment encountered at low altitudes by approximately an order of magnitude. This is because other small-size debris sources, such as paint flakes have not yet been characterised. Due to the model enhancements, IDES exhibits good accuracy when predicting the debris environment at decimetre and centimetre sizes. Therefore, the validated initial conditions and the high fidelity future traffic model enables IDES to make long-term debris environment projections with more confidence.     

销钉接触对电位法测试精度影响的边界元分析

 用边界元法分析了销钉接触对3种电流输入方式下紧凑拉伸试样的电位函数影响。结果表明,销钉接触对电位测试精度有显著影响。试验中应首先考虑对俏钉孔进行绝缘。当不可能对销钉孔进行绝缘时,应对电位函数进行修正或变换电流输入位置。     

支持向量机增量学习方法及应用

基于支持向量机的增量学习作为一种数据挖掘与知识发现技术,已在目标识别,网页分类等诸多领城得到应用.在概述其机理的基础上,从如何提高学习精度与学习速度着手,分析了现有算法及其优缺点和需要改进的问题;论述了增量学习的应用现状,并提出进一步的研究方向.     

工艺装备结构与孔系加工精度的工艺分析

根据公差项目的特征要求，对某产品零件孔系加工的生产实际进行了工艺分析，对造成零件孔系加工误差的各项因素进行了定性和定量分析，找出了造成误差的根本原因是工艺装备结构设计带来的系统误差过大和加工工艺方法的缺陷的影响。在此分析的基础上对工艺装备的设计进行了改进，并对加工工艺进行了相应的调整，达到了预期的加工目的。这种技术工作方法，对生产现场的工程技术人员来说是基本要求，也是解决机械制造工艺问题的有效途径。     

双重加权实质无波动激波捕捉格式的改进和应用

本文重新研究了双重加权实质无波动(DWENO)激波捕捉格式的构造过程，对模板光滑系数的定义，以及两重权值的计算方法进行了改进，并通过一维Riemann问题测试了这些改进，确定了参数的选择范围。最后，本文将改进后的DWENO(r=3)格式进一步应用于一维、二维典型问题的数值模拟，并比较了DWENO格式和WENO格式的精度和分辨率。