Simulation of the plasticizing behavior of composite modified double-base (CMDB) propellant in grooved calendar based on adaptive grid technology

The frequent occurrence of safety accidents during the calendering process is caused by the flammable and explosive properties of composite modified double-base (CMDB) propellant. Optimization of process parameters with the aid of fluid simulation technology could effectively ensure the safety of the calendering process. To improve the accuracy of the simulation results, material parameters and model structure were corrected based on actual conditions, and adaptive grid technology was applied in the local mesh refinement. In addition, the rheological behavior, motion trajectories and heat transfer mechanisms of CMDB propellant slurry were studied with different gaps, rotational rates and temperatures of two rollers. The results indicated that the refined mesh could significantly improve the contour clarity of boundaries and simulate the characteristics of CMDB propellant slurry reflux movement caused by the convergent flow near the outlet. Compared with the gap, the increased rotational rate of roller could promote the reflux movement and intensify the shear flow of slurry inside the flow region by viscous shear dragging. Meanwhile, under the synergistic effect of contact heat transfer as well as convective heat exchange, heat accumulated near the outlet and diffused along the reflux movement, which led to the countercurrent heat dissipation behavior of CMDB propellant slurry. The plasticizing mechanism of slurry and the safety of calendering under different conditions were explored, which provided theoretical guidance and reference data for the optimization of calendering process conditions. Based on the simulation results, the safety of the CMDB propellant calendering process could be significantly improved with a few tests conducted during a short research and development cycle.     

Performances of the defense industrial base in France: the role of small and medium enterprises

This paper employs an economic and statistical approach to get an overview of the defense industrial base (DIB) in France. It allows us to identify its main characteristics and to measure the role of small and medium enterprises (SMEs). An original data-set was built, thanks to the information from the Ministry of Defense (MOD), the French Customs Central and National Administration, the Organization for Joint Armament Cooperation (OCCAR), the North Atlantic Treaty Organization (NATO), and all the most relevant organizations specialized in the development, production or maintenance, repair, and overhaul of military goods in France. Overall, the DIB turns out as being composed of about 1800 enterprises in France (subcontractors included), of which three-third are SMEs. Along with high market concentration ratios, these enterprises are characterized by a significant military/civil duality, high labor productivity rates, and intensity in Research and Development.     

自适应数据融合算法

以防空导弹指控系统作战单位为背景,通过对现有经典算法及工程化算法的分析,结合专家经验,提出了基于算法间联系的工程化自适应数据融合算法.对自适应算法的思想、规则集、算法库、推理组成和算法的实现作了详细的描述.     

单基发射药的热自燃数值模拟与其剩余能量变化研究

建立了单基发射药柱热自燃的数学模型 ,根据模型利用数值模拟的方法计算了单基发射药的中心温度与其剩余能量 ,并对中心温度的模拟结果与实验结果进行了比较。解决了其热分解动力学参数的非唯一性问题 ,为装填有单基发射药各种弹药的热自燃计算提供了依据     

基地化试验训练研究与启示

自动控制技术、信号处理技术、元器件工艺水平等的进步,推进了武器装备集成化、标准化和小型化,使其呈现出信息化程度高、系统性强、维护维修性复杂等特点。为满足武器装备作战训练的需求,本文阐述了基地化试验训练的基础,分析了基地化试验训练现状,提出基地化试验训练建设发展启示,以提高武器装备的作战应用水平。     

故障诊断专家系统外壳设计与实现

设计了一个故障诊断专家系统外壳,给出了外壳的总体框架结构,基于对象式框架的知识表示,融经验诊断和原理诊断为一体的推理机制.介绍了在Windows环境下实现故障诊断专家系统外壳的方法.只要通过知识库管理系统,在Access数据库中建立不同的知识库,就可以创建不同系统的专家系统.开发的故障诊断专家系统已经在实际中应用,取得了良好的效果.     

面向基本对象模型BOM和Web服务的建模技术研究

介绍了BOM模型和面向Web服务技术,从概念、表示以及语义层次上对2种技术进行了对比分析。基于二者数据类型和语义的一致性,提出了从BOM模型到Web服务描述的映射规则,阐述了这种映射的实际操作步骤,最后通过实例验证了该方法的可行性和有效性,并分析和总结了运用BOM和Web服务建模的优越性。     

介电谱技术在润滑脂分析中的应用

应用介电谱测试技术对润滑脂进行种类识别及氧化安定性的研究,红外光谱分析、差式扫描量热计法、氧弹法等标准试验方法对润滑脂氧化安定性进行评定分析。研究结果表明,介电谱测试技术可以实现对润滑脂基础油的种类识别及润滑脂氧化安定性的测定。     

基于BP神经网络的装备故障诊断专家系统研究

分析了神经网络和专家系统的特点,提出了基于BP神经网络与专家系统结合的某装备的故障诊断方法,构造了BP神经网络的装备故障诊断专家系统的诊断模型,克服了传统专家系统在知识获取和表达的薄弱环节,并用了某型装备的故障实际数据进行了验证,结果表明了神经网络与专家系统结合是一种有效的诊断方法。     

DETERMINING THE DEFENCE INDUSTRIAL BASE

This paper models the determination of the defence industrial base – the number of different military systems a country decides to maintain. High R&D costs means that few countries can afford to produce major weapons systems and the producers also import systems. Non‐producers rely on imports and we assume their demand is driven by regional arms races. Military capability is determined by the number of systems and the quantity and quality of each. We examine how the defence industrial base is influenced by military expenditures, R&D costs, export controls, the nature of regional arms races and a variety of other factors.