Micromechanical simulation and experimental investigation of aluminum-based nanocomposites

Ceramic reinforced metal matrix nanocomposites are widely used in aerospace and auto industries due to their enhanced mechanical and physical properties. In this research, we investigate the mechanical properties of aluminum/Nano-silica composites through experiments and simulations. Aluminum/Nano-silica composite samples with different weight percentages of silica nanoparticles are prepared via powder metallurgy. In this method, Nano-silica and aluminum powders are mixed and compressed in a mold, followed by sintering at high temperatures. Uniaxial tensile testing of the nanocomposite samples shows that adding one percent of Nano-silica causes a considerable increase in mechanical properties of nanocomposite compared to pure aluminum. A computational micromechanical model, based on a representative volume element of aluminum/silica nanocomposite, is developed in a commercial finite element software. The model employs an elastoplastic material model along with a ductile damage model for aluminum matrix and linear elastic model for nano-silica particles. Via careful determination of model parameters from the experimental results of pure aluminum samples prepared by powder metallurgy, the proposed computational model has shown satisfactory agreement with experiments. The validated computational model can be used to perform a parametric study to optimize the micro-structure of nanocomposite for enhanced mechanical properties.     

The effect of al particle size on thermal decomposition,mechanical strength and sensitivity of Al/ZrH2/PTFE composite

To study the thermal decomposition of Al/ZrH2/PTFE with different Al particle size as well as mechanical strength and impact sensitivity under medium and low strain rates, molding-vacuum sintering was adopted to prepare four groups of power materials and cylindrical specimens with different Al particle size. The active decomposition temperature of ZrH2 was obtained by TG-DSC, and the quasi-static me-chanics/reaction characteristics as well as the impact sensitivity of the specimen were studied respec-tively by quasi-static compression and drop-hammer test. The results show that the yield strength of the material decreased with the increase of the Al particle size, while the compressive strength, failure strain and toughness increased first and then decreased, which reached the maximum values of 116.61 MPa, 191％, and 119.9 MJ/m respectively when the Al particle size is 12—14μm because of particle size grading. The specimens with the highest strength and toughness formed circumferential open cracks and reacted partly when pressed. Those with developmental cracks formed inside did not react. It is considered that fracture of specimens first triggered initial reaction between Al and PTFE to release an amount of heat. Then ZrH2 was activated and decomposed, and participated in subsequent reaction to generate ZrC. The impact sensitivity of the specimens decreased with the increase of Al particle size.     

Disruption management in production planning

We study the problem of recovering a production plan after a disruption, where the disruption may be caused by incidents such as power failure, market change, machine breakdown, supply shortage, worker no‐show, and others. The new recovery plan we seek after has to not only suit the changed environment brought about by the disruption, but also be close to the initial plan so as not to cause too much customer unsatisfaction or inconvenience for current‐stage and downstream operations. For the general‐cost case, we propose a dynamic programming method for the problem. For the convex‐cost case, a general problem which involves both cost and demand disruptions can be solved by considering the cost disruption first and then the demand disruption. We find that a pure demand disruption is easy to handle; and for a pure cost disruption, we propose a greedy method which is provably efficient. Our computational studies also reveal insights that will be helpful to managing disruptions in production planning. © 2005 Wiley Periodicals, Inc. Naval Research Logistics, 2005.     

现代科技发展对传统伦理提出的挑战及应对方略

现代科技的发展给人类带来了巨大福音,同时也提出了诸多的社会伦理难题。处理好科技发展与伦理进步的矛盾,使科技既能推动伦理进步,又能保障科技的健康发展及其成果的正确应用,必须重视科技发展的伦理意义,同时充分发挥伦理对科技的规范引导功能。     

GNSS/SINS组合导航在地地导弹中的工程应用

介绍了基于Kalman滤波的GNSS/SINS组合导航技术在地地导弹中的应用,在发射点惯性坐标系中建立了便于工程应用的数学模型,针对某型号进行了位置速度仿真,并和目前在工程实际中应用的加权平均组合方法进行了比较。仿真结果表明,Kalman滤波技术可以应用于地地导弹工程实际中。     

RF射频技术在轴功率测试系统中的应用

以计算机为平台,采用专用射频芯片CC1000,研制了一套舰船主机轴功率遥测系统.该系统工作于ISM频段,采用FSK调制,结构简单、可靠性好、抗干扰能力强.     

高抗噪无线车内语音通信系统的研究

由于现行的车内通话器均采用有线连接和传统的降噪方式,导致了乘员活动范围受限以及降噪能力不强等问题.提出了一套综合应用蓝牙技术和骨传导技术的无线语音通信系统,并将其应用到装甲车辆上,最后提出了一些在实际设计中需要解决的问题,为今后进一步研究提供参考.     

舰船燃气轮机双机并车控制仿真技术研究

介绍了功率反馈控制技术的原理和特点,并利用功率反馈控制技术对舰船燃气轮机双机并车控制技术进行了分析.利用C++语言建立了全燃动力装置的仿真模型,并对功率反馈法进行了计算机仿真试验.结果表明,功率反馈控制技术能较好地实现舰船燃气轮机双机并车运行的控制.     

基于Matlab/Simulink的内燃机凸轮挺柱磨损数值计算的仿真研究

建立了凸轮磨损计算的仿真模型,论证了模型的正确性以及利用Simulink进行凸轮机构的磨损数值计算仿真的有效性,并利用Matlab/Simulink对其进行仿真.仿真结果与实验结果较为吻合.     

面向提高分析效率的战场损伤分析（FMEA／DMEA）方法研究

战场损伤分析是战场抢修研究、准备和决策的基础。从装备战场损伤分析出发,针对目前战场损伤分析(FMEA/DMEA)中存在的过程复杂、内容较多和效率不高等问题,探讨了如何利用基础性损伤数据和已有分析案例为FMEA/DMEA提供数据支持,提高分析效率。