Combustion of B4C/KNO3 binary pyrotechnic system

Presented herein is an experimental study on the combustion of B4C/KNO3 binary pyrotechnic system.Combustion products were tested using X-ray diffraction(XRD),scanning electron microscopy(SEM),and energy dispersive spectrometer(EDS).According to the results of tests and CEA calculation,the combustion reaction equation was established.The flames and burning rates were recorded by a high speed camera and a spectrophotometer.The effect of B4C particle size on the thermal sensitivity of B4C/KNO3 was investigated by differential scanning calorimetry(DSC)techniques.In addition,a reliable method for calculating the flame temperature was proposed.Based on the results of experiments,the combustion reaction mechanism was briefly analyzed.The burning rate,flame temperature and thermal sensitivity of B4C/KNC3 increase with the decrease of B4C particle size.The mass ratio of B4C/KNO3 has a great effect on combustion properties.Oxidizer-rich compositions have low flame temperatures,low burning rates,and provide green light emission.The combustion reactions of fuel-rich compositions are vigorous,and the B4C/KNO3 with mass ratio of 25:75 has the highest burning rate and the highest flame temperature.     

Background dominant colors extraction method based on color image quick fuzzy c-means clustering algorithm

A quick and accurate extraction of dominant colors of background images is the basis of adaptive camouflage design. This paper proposes a Color Image Quick Fuzzy C-Means (CIQFCM) clustering algorithm based on clustering spatial mapping. First, the clustering sample space was mapped from the image pixels to the quantized color space, and several methods were adopted to compress the amount of clustering samples. Then, an improved pedigree clustering algorithm was applied to obtain the initial class centers. Finally, CIQFCM clustering algorithm was used for quick extraction of dominant colors of background image. After theoretical analysis of the effect and efficiency of the CIQFCM algorithm, several experiments were carried out to discuss the selection of proper quantization intervals and to verify the effect and efficiency of the CIQFCM algorithm. The results indicated that the value of quantization intervals should be set to 4, and the proposed algorithm could improve the clustering efficiency while maintaining the clustering effect. In addition, as the image size increased from 128 × 128 to 1024 × 1024, the efficiency improvement of CIQFCM algorithm was increased from 6.44 times to 36.42 times, which demonstrated the significant advantage of CIQFCM algorithm in dominant colors extraction of large-size images.     

Fabrication and characterization of Al-CuO nanocomposites prepared by sol-gel method

In this study, Al-CuO nanocomposites were fabricated by sol-gel method. As a contrast, the thermite was prepared by physical mixing at the equivalence ratio of 0.5, 1, 2, respectively. The intermediates and samples as prepared were characterized by SEM and XRD. The exothermic properties of the two samples prepared at different equivalence ratios were tested and the reaction products were characterized by XRD. The SEM results show that the sample prepared by the sol-gel method demonstrates a micron-sized agglomerated sphere formed by a mutual wrapping of Al NPs and CuO NPs, and the particles are evenly distributed in the agglomerate. In addition, when the content of Al powder is seriously insufficient, the heat release of the sample prepared by physical mixing is 1.6 times that of by sol-gel method. With the increase of Al powder content, the exothermic properties of Al/CuO NPs prepared by sol-gel method began to increase significantly compared with physical mixing and the difference is 1.5 times when the equivalence ratio increases to 2. It can be concluded that the reason for this result may be attributed to the different mass transfer modes of components due to the different morphologies of samples.     

杂合数据的粗糙集属性约简方法

针对决策表中属性取值为杂合数据的情况,提出了基于粗糙集理论的属性约简算法.首先给出了对象间在杂合数据下的相似度计算定义.为了获取合理的对象集合的软划分,给出了阈值计算的最优化模型,并基于粗糙集的上、下近似的概念,得到对象集合在条件属性下的上、下近似的覆盖划分.之后,通过各对象基于条件属性和决策属性的上、下近似下的分布矩阵描述,利用最大分布矩阵,直观地得到两种不同观点下的约简结果.实验结果表明了本算法的合理和有效性.     

基于微机控制实现的自适应有源消声

提出一个以微机为核心的自适应有源消声系统,该系统能为研究不同系统结构的有源消声提供一个灵活的实验平台。文中采用ＬＭＳ算法为自适应滤波控制器,能自动补偿背景噪声、环境参数和电声参数变化对消声效果的影响,能在较宽频带内取得显著的消声量。实验结果表明：在双次级源的自由空间布放方式下,该系统对５０～４００Ｈｚ范围内的单频、窄带随机噪声取得的最大消声量在４０ｄＢ以上。     

军民一体化装备保障中的协同性研究

军民一体化装备保障是今后我军的主要装备保障方式,其关键问题是解决装备保障力量的融合．为了解决这个问题,引入了协同理论,并对其引入的必要性和可行性进行了分析．在此基础上,对军民一体化装备保障的协同性进行了分析,重点对协同性机理和协同性的评价方法进行了阐述．     

图形式火警救援C3系统

图形式火警救援C~3系统是一个先进的在国内首次实现的以微型机为主处理机,达到实用水平的火警救援C~3系统。系统设计以C~3I理论和技术为基础,以地图和图形为背景,以很低的投资获取了较高的技术性能和系统功能。本文概要地介绍了该系统的总体设计思想和若干主要技术问题。     

银行办公自动化系统(BOAS)相对效率的技术经济评价

通过比较银行人工操作系统（ＢＭＷＳ）与银行办公自动化系统（ＢＯＡＳ）,建立了ＢＯＡＳ的投入指标量化模型以及产出指标量化模型。将产出指标集合分解为了系统服务强度、系统工作潜力、系统准确度和系统可靠性四个分指标。并给出了ＢＯＡＳ相对效率技术经济综合评价模型。     

空袭数字化程度的评估模型

空袭兵器的迅速发展,使空袭样式随之改变,评估空袭的标准也悄然变化,数字化正成为未来空袭的主要特征.采用模糊数学方法对一次空袭的数字化程度进行评估,给出了一个可行、方便的算法.模型对空袭的数字化程度进行等级划分,并以北约空袭南联盟的实际战斗为例进行分析,证明模型是可行的.     

应用电弧喷涂技术治理舰船钢结构腐蚀

本文论述了舰船钢结构的腐蚀机理,腐蚀特点及影响因素.指出电弧喷涂铝复合涂层能够长期有效地对舰船钢结构进行腐蚀保护,延长舰船钢结构的使用寿命,这是其它任何腐蚀防护技术都难以实现的.电弧喷涂铝复合涂层的具体涂层设计是:电弧喷涂铝金属涂层十有机封闭涂料涂层十常规舰船面层涂料涂层.