含Ti钎料钎焊碳纤维复合材料与钛合金的界面微观分析

采用几种钎料对碳纤维复合材料与钛合金进行真空钎焊,重点探讨了含Ti钎料钎焊碳纤维复合材料与钛合金连接界面的微观组织。研究表明,含Ti钎料润湿连接碳纤维复合材料与钛合金TC4的过程可分为五个阶段:钎料与母材的物理接触以及钎料的熔化;原子的扩散;反应层的生成;反应层沉积变厚,润湿复合材料;形成接头。研究结果对于碳纤维复合材料与钛合金的连接及在重要航天器中的应用具有重要参考价值。     

面向分析的产品建模技术概述

针对当前面向制造的产品模型对产品设计后续数值模拟阶段的适应性不足的问题,为提高产品几何模型与分析模型转换效率,分析了产品模型在数值模拟中的表达形式,总结了面向分析的建模所面临的问题,归纳出面向分析的建模需求,通过改进现有的参数化建模方法,提出了面向分析的产品建模技术及其结构框架,最后以涡轮叶片为例,创建能够适应后续数值模拟的涡轮叶片模型,在一定程度上降低了叶片设计分析一体化的难度,同时对其他高质量数字化模型的创建也有一定的参考价值。     

反潜巡逻机使用浮标声呐对潜警戒能力分析

针对航母综合作战区反潜巡逻机使用浮标声呐对潜警戒能力问题,在分析航母综合作战区反潜巡逻机对潜警戒目的与战术行动方法的基础上,构建了航母综合作战区反潜巡逻机使用浮标声呐对潜警戒能力计算模型,并结合某型反潜巡逻机和典型作战对象的战技性能,对航母综合作战区反潜巡逻机使用浮标声呐的对潜警戒能力进行了定量分析。     

Optimal guidance for reentry vehicles based on indirect Legendre pseudospectral method

Development of a feasible guidance scheme for reentry vehicles is a challenge because of its significant nonlinearity and multi-constraints. A method for the implementation of three-degree-of-freedom guidance for constrained reentry vehicle is presented in the paper. First, the constrained trajectory is generated by Legendre pseudospectral method (LPM) and then the feasibily of the trajectory is validated. Based on the obtained reference trajectory, the guidance problem is converted into a trajectory state regulation problem which is a linear time varying system. A robust state feedback guidance law is generated in real time using indirect Legendre pseudospectral feedback method. Finally, simulation results illustrate that the overall guidance scheme can lead to a very accurately controlled flight with all the constraints satisfied even in the presence of initial state uncertainty.     

ASW-RTS:一种软件性能数据在线检测方法

在软件健康管理系统中,需要对相关被测构件的性能进行在线检测,从而确定构件的健康状态。针对被测构件的性能衰退检测问题,在AR(p)模型基础上,结合时间序列滚动式算法的准确性,提出了一种具有自适性策略的ASWRTS算法,用于对被测构件革新异常类性能数据的在线检测,提高检测的准确度,并基于该算法设计了构件性能异常数据的在线检测过程。实验结果表明,该算法将检测精度提高了50%左右,能够有效在线检测构件的性能衰退,说明了该算法的正确性和有效性。     

精益研发VS精益生产

雨疏风骤之后,是海棠依旧,还是绿肥红瘦?词人李清照关心风雨之后的海棠时问了这个问题。当关注信息化时代的精益策略时,我不禁也想问这个问题。丰田生产模式1990年被美国麻省理工学院的教授总结为精益生     

Excel在真空计量中的应用

在真空计量领域中，Ｅｘｃｅｌ电子表格软件得到了广泛的应用。本文举例说明了Ｅｘｃｅｌ的数据计算，统计分析，回归分析，宏、ＯＬＥ和ＤＤＥ功能。     

Determination of optimal samples for robot calibration based on error similarity

Industrial robots are used for automatic drilling and riveting.The absolute position accuracy of an industrial robot is one of the key performance indexes in aircraft assembly,and can be improved through error compensation to meet aircraft assembly requirements.The achievable accuracy and the difficulty of accuracy compensation implementation are closely related to the choice of sampling points.Therefore,based on the error similarity error compensation method,a method for choosing sampling points on a uniform grid is proposed.A simulation is conducted to analyze the influence of the sample point locations on error compensation.In addition,the grid steps of the sampling points are optimized using a statistical analysis method.The method is used to generate grids and optimize the grid steps of a Kuka KR-210 robot.The experimental results show that the method for planning sampling data can be used to effectively optimize the sampling grid.After error compensation,the position accuracy of the robot meets the position accuracy requirements.     

A salient edges detection algorithm of multi-sensor images and its rapid calculation based on PFCM kernel clustering

Multi-sensor image matching based on salient edges has broad prospect in applications, but it is difficult to extract salient edges of real multi-sensor images with noises fast and accurately by using common algorithms. According to the analysis of the features of salient edges, a novel salient edges detection algorithm and its rapid calculation are proposed based on possibility fuzzy C-means （PFCM） kernel clustering using two-dimensional vectors composed of the values of gray and texture. PFCM clustering can overcome the shortcomings that fuzzy C-means （FCM） cluster- ing is sensitive to noises and possibility C-means （PCM） clustering tends to find identical clusters. On this basis, a method is proposed to improve real-time performance by compressing data sets based on the idea of data reduction in the field of mathematical analysis. In addition, the idea that kernel-space is linearly separable is used to enhance robustness further. Experimental results show that this method extracts salient edges for real multi-sensor images with noises more accurately than the algorithm based on force fields and the FCM algorithm; and the proposed method is on average about 56 times faster than the PFCM algorithm in real time and has better robustness.     

Transient simulation of regression rate on thrust regulation process in hybrid rocket motor

The main goal of this paper is to study the characteristics of regression rate of solid grain during thrust regulation process. For this purpose, an unsteady numerical model of regression rate is established. Gas–solid coupling is considered between the solid grain surface and combustion gas.Dynamic mesh is used to simulate the regression process of the solid fuel surface. Based on this model, numerical simulations on a H2O2/HTPB(hydroxyl-terminated polybutadiene) hybrid motor have been performed in the flow control process. The simulation results show that under the step change of the oxidizer mass flow rate condition, the regression rate cannot reach a stable value instantly because the flow field requires a short time period to adjust. The regression rate increases with the linear gain of oxidizer mass flow rate, and has a higher slope than the relative inlet function of oxidizer flow rate. A shorter regulation time can cause a higher regression rate during regulation process. The results also show that transient calculation can better simulate the instantaneous regression rate in the operation process.