Novel aluminum-based fuel: Facile preparation to improve thermal reactions

To improve the thermal properties of aluminum (Al) in the energetic system, a coated structure with ammonium perchlorate (AP) was prepared by a facile approach. And N, N-Dimethylformamide (DMF) was chosen as an ideal solvent based on heterogeneous nucleation theory and molecular dynamics simulation. This coated structure could enlarge the contact area and improve the reaction environment to enhance the thermal properties. The addition of AP could accelerate oxidation temperature of Al with around 17.5 °C. And the heat release of 85@15 composition rises to 26.13 kJ/g and the reaction degree is 97.6% with higher peak pressure (254.6 kPa) and rise rate (1.397 MPa/s). An ideal ratio with 15 wt% AP was probed primarily. The high energy laser-induced shockwave experiment was utilized to simulate the reaction behavior in hot field. And the larger activated mixture of coated powder could release more energy to promote the growth of shockwave with higher speed up to 518.7 ± 55.9 m/s. In conclusion, 85@15 composition is expected to be applied in energetic system as a novel metal fuel.     

最小自由能法计算烟火药剂热值

烟火药剂的热值计算在烟火研究领域有着重要的作用．本文根据最小自由能原理,通过一系列基本假设计算出了体系燃烧爆炸反应后的热值,计算结果与实验衡量数据相吻合,并且程序可通过进一步完善,扩展应用于非理想气体,提高计算精度．     

Inventory control and periodic price discounting campaigns

This paper develops an inventory model that determines replenishment strategies for buyers facing situations in which sellers offer price‐discounting campaigns at random times as a way to drive sales or clear excess inventory. Specifically, the model deals with the inventory of a single item that is maintained to meet a constant demand over time. The item can be purchased at two different prices denoted high and low. We assume that the low price goes into effect at random points in time following an exponential distribution and lasts for a random length of time following another exponential distribution. We highlight a replenishment strategy that will lead to the lowest inventory holding and ordering costs possible. This strategy is to replenish inventory only when current levels are below a certain threshold when the low price is offered and the replenishment is to a higher order‐up‐to level than the one currently in use when inventory depletes to zero and the price is high. Our analysis provides new insight into the behavior of the optimal replenishment strategy in response to changes in the ratio of purchase prices together with changes in the ratio of the duration of a low‐price period to that of a high‐price period. © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2007.     

航天器智能能力的构建

为解决航天器智能能力的构建和智能技术的引入问题,从能力部署视角提出了智能等级的划分,从定性的自动、自治、自主的等级出发,自底向上分解为数据注入接收能力、任务执行能力、自学习能力、系统自我管理能力、任务自我管理和思考能力,其程度分为底层反应、中层程序和高层思考。对照上述能力给出可实施的5阶模型和人字架构。人字架构是以即插即用技术加自主控制技术来支持上层智能能力的模型。该模型基于航天器接口业务架构和欧洲空间局的包应用标准业务,采用管理信息库和电子数据单技术进行数据化设计。对应星上的智能能力等级讨论相适应的地面系统能力。人字架构具有层次化、业务模型化和自底向上归一化构建的特点,对上层智能技术的引入是开放的。     

Generation and storage dispatch in electricity networks with generator disruptions

We present methods for optimizing generation and storage decisions in an electricity network with multiple unreliable generators, each colocated with one energy storage unit (e.g., battery), and multiple loads under power flow constraints. Our model chooses the amount of energy produced by each generator and the amount of energy stored in each battery in every time period in order to minimize power generation and storage costs when each generator faces stochastic Markovian supply disruptions. This problem cannot be optimized easily using stochastic programming and/or dynamic programming approaches. Therefore, in this study, we present several heuristic methods to find an approximate optimal solution for this system. Each heuristic involves decomposing the network into several single‐generator, single‐battery, multiload systems and solving them optimally using dynamic programming, then obtaining a solution for the original problem by recombining. We discuss the computational performance of the proposed heuristics as well as insights gained from the models. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 62: 493–511, 2015     

基于凸-改进遗传算法的圆阵列方向图联合优化

针对圆形阵列方向图具有较高旁瓣的问题,提出一种新的基于凸优化和改进遗传算法的优化方法。该方法首先采用遗传算法将阵元位置和阵元权值作为优化变量,以最小化波束方向图峰值旁瓣为目标函数进行联合优化,既增加了变量的自由度,又符合理论意义上的全局寻优;同时,为了避免算法的早熟收敛,对基本遗传算法进行了必要的改进。然后采用凸优化方法对阵元权值进行二次优化可进一步降低旁瓣电平,与传统方法相比能够明显提高优化效果的稳定性。仿真数据证实了该方法的有效性和正确性。     

废旧轮胎在新型柔性拦石墙结构中的应用与数值分析

废旧轮胎作为新型柔性拦石墙结构的重要组成部分,研究其组成材料及抗冲击性能具有重要意义。采用ANSYS/LS-DYNA软件,以子午线轮胎175/70R14为基础,建立了废旧轮胎和刚性拦石墙上添加废旧轮胎前后的有限元模型,分别考察了2种情况下刚性拦石墙所受落石冲击力的大小,研究了废旧轮胎各部分材料的耗能特点。数值分析表明:废旧轮胎吸能作用明显,能够有效地减缓落石对刚性拦石墙的冲击,并显著提高新型柔性拦石墙的防护能力。     

高空长航时太阳能飞机研究进展与技术挑战

高空长航时太阳能飞机是当前的前沿热点方向,可实现月量级的长期驻空,并形成“时间持久+区域保持”的新型应用能力。系统总结了高空长航时太阳能飞机三阶段发展历程,包括初期探索阶段、快速发展阶段、实用能力验证与应用示范阶段,重点阐述国外典型发展计划,深入分析气动布局设计、储能电池、高空推进、大尺度结构、飞行控制等面临的主要技术挑战,并提出重点攻关方向建议,为高空长航时太阳能飞机创新发展提供参考。     

定向能武器技术的发展动向

随着激光、新材料、微电子、声光、电光等高技术的发展,利用各种束能产生强大杀伤威力的定向能武器已引起世界高度重视。定向能武器成为战场上高速移动目标的"克星",是能有效制敌的"杀手锏"装备,对未来作战样式和形态具有重要影响。文章系统分析了定向能武器的军事应用前景,详细剖析了世界定向能武器技术的研究进展及发展动向,给出了未来要大力发展的激光武器、高功率微波武器和粒子束武器关键技术,对于加快我军定向能武器装备发展,提升非对称制衡能力,具有十分重要的意义。     

能源互联网在军事能源转型中的作用

能源互联网是第三次工业革命的重要支柱,是关系到国家经济和产业发展转型的一种战略型技术。文章首先阐述了军事能源转型面临的挑战和要求,探讨了美国在军事能源转型中的主要做法和启示,从理念和技术两方面分析了能源互联网在推动军事能源转型中将发挥的作用。