平顶光束和平顶涡旋光束对金属瑞利粒子的光学俘获

使用聚焦平顶光束和平顶涡旋光束,以金为例,对金属瑞利粒子辐射力和俘获稳定性进行了分析,着重研究了拓扑电荷和光束阶数对辐射力的影响。结果表明,随着拓扑电荷和光束阶数的增大,最大光强和辐射力随之减小;平顶光束可以俘获金瑞利粒子,俘获微粒的牢固性和俘获范围随着光束阶数增大而减小,而平顶涡旋光束的梯度力不能作为回复力,因此不能俘获。最后,还讨论了不同光强分布下,俘获金属瑞利粒子时复介电常数需满足的必要条件。     

碳气凝胶/聚苯乙烯双介质柱状靶的研制

介绍了碳气凝胶/聚苯乙烯（CRF/CH）双介质柱状靶的制备方法。使用溶胶-凝胶法和微模具原位成型法制备了直径为820 μm的间苯二酚-甲醛（RF）气凝胶微柱,在氮气保护下进行高温碳化后得到直径为730 μm、密度为250 mg·cm-3的CRF微柱;采用浸渍提拉法在CRF微柱柱面镀制一层厚度为26 μm 的CH薄膜, 形成CRF/CH双介质结构;采用机械微切割技术制备了长度为1 mm, 内径为730 μm,壁厚为26 μm的CRF/CH双介质柱状靶。实验研究了RF,CRF气凝胶微柱的制备工艺、微观形貌及CRF微柱轴向和径向的密度均匀性,探讨了影响CH薄膜厚度的主要因素,并对CH薄膜的表面形貌和两种材料之间的界面进行了表征。     

Zr粉粒径对Zr/KClO4烟火剂燃烧特性的影响

研究了烟火药激光器泵浦源传统配方Zr/KClO4中Zr粉粒径对该配方燃烧特性的影响。结果表明：Zr粉从61.375 μm减小到18.675 μm,Zr/KClO4混合物的点火温度从506.40 ℃降低到492.42 ℃,燃烧辐射脉宽由60 ms缩短到25 ms,峰值辐射强度增加1倍;在 200～1 100 nm波段内,随着Zr粉粒径的减小,可见光区内的辐射能所占的比例增强;针对掺钕激光介质的泵浦而言,Zr粉粒径为800目时,分布在激光介质的3个主要泵浦带内的辐射能最高,而且闪光脉宽最短。因此,在其它条件相同时,选择颗粒尺寸小的Zr粉有利于获得高的激光输出。     

图形处理器并行计算用于离子发动机粒子模拟

为了研究离子发动机羽流对航天器的影响,采用质点网格-蒙特卡罗碰撞方法对离子发动机羽流中的交换电荷离子进行了模拟。利用计算设备统一架构技术,开发出一套基于图形处理器的并行粒子模拟程序。随机数生成采用并行MT19937伪随机数生成器算法,电场方程使用完全近似存储格式的代数多重网格法求解。r-z轴对称坐标系中,在z=0 m处获得的电流密度均值为4.5×10-5 A/m2,图形处理器所得结果与中央处理器模拟结果吻合。在16核心的NVIDIA GeForce 9400 GT图形显示卡上,取得相对于Intel Core 2 E6300中央处理器4.5~10.0倍的加速比。     

Three‐dimensional wave impact on a rigid structure using smoothed particle hydrodynamics

Navier–Stokes computations of a wave–structure interaction are performed with the aim of assessing the potential of smoothed particle hydrodynamics to accurately estimate impact loading time history. A three‐dimensional dam‐break flow with a rectangular column located downstream is considered. The net force and impulse exerted on the column is monitored throughout the simulation with the results correlating well with existing experimental data. Initial and boundary conditions and numerical parameters are varied and their effect on the column load investigated. The column load is found to be most sensitive to the choice of boundary treatment. Copyright © 2011 John Wiley & Sons, Ltd.     

A finite volume cell‐centered Lagrangian hydrodynamics approach for solids in general unstructured grids

A finite volume cell‐centered Lagrangian hydrodynamics approach, formulated in Cartesian frame, is presented for solving elasto‐plastic response of solids in general unstructured grids. Because solid materials can sustain significant shear deformation, evolution equations for stress and strain fields are solved in addition to mass, momentum, and energy conservation laws. The total stress is split into deviatoric shear stress and dilatational components. The dilatational response of the material is modeled using the Mie‐Grüneisen equation of state. A predicted trial elastic deviatoric stress state is evolved assuming a pure elastic deformation in accordance with the hypo‐elastic stress‐strain relation. The evolution equations are advanced in time by constructing vertex velocity and corner traction force vectors using multi‐dimensional Riemann solutions erected at mesh vertices. Conservation of momentum and total energy along with the increase in entropy principle are invoked for computing these quantities at the vertices. Final state of deviatoric stress is effected via radial return algorithm based on the J‐2 von Mises yield condition. The scheme presented in this work is second‐order accurate both in space and time. The suitability of the scheme is evinced by solving one‐ and two‐dimensional benchmark problems both in structured grids and in unstructured grids with polygonal cells. Copyright © 2013 John Wiley & Sons, Ltd.     

Dust modelling using a combined CFD and discrete element formulation

The production and dispersal of airborne dust is an important issue in both environmental and industrial contexts. Dust pollution is a major environmental concern, and long exposure in occupational settings has been linked with numerous respiratory health issues. Industrial dust pollution can also present a significant explosion hazard, even in facilities with dust extraction systems. Computational models for dust generation and dispersal have, however, generally been formulated for specific geophysical applications and restricted to static, two‐dimensional, approaches. Here, we present a method for simulating dust production from a dynamic granular bed by using a three‐dimensional coupled discrete element method and Navier–Stokes computational model. Dust production is based on an energy formulation in which micro‐scale dust particles are assumed to overcome cohesion to macro‐scale grains. This model is used over the entire range of energies present within the system, from macro‐scale collisions to aerodynamic entrainment and bombardment of micro‐scale particles. The dust concentration is modelled as a scalar density field, which is advected and diffused through turbulence in the gas flow field. The model is tested against empirical predictions for two test cases, a slug of granular material dropped from a set height and air flow over a granular stockpile. Both give good agreement to the empirical relations, showing that the model can accurately predict the production and subsequent dispersal of dust from a dynamic granular bed. Copyright © 2012 John Wiley & Sons, Ltd.     

Synthesis and characterization of silica-supported Preyssler nano particles and its catalytic activity for photodegradation of methyl orange

Abstract

Heteropolyacid (H₁₄ [NaP₅W₃₀O₁₁₀])/SiO₂ nano particles were synthesized by a micro emulsion technique. The morphology and size of these nano particles were characterized using, transmission electron microscopy and X-ray diffraction. In a designed photo reactor, the photo degradation of methyl orange as common azo dye pollutants in the environment was selected as a test reaction to estimate the catalytic activity of the synthesized nano particles and found to be excellent.     

Application of DEM modified with enlarged particle model to simulation of bead motion in a bead mill

We applied the discrete element method （DEM） of simulation modified by an enlarged particle model to simulate bead motion in a large bead mill. The stainless-steel bead mill has inner diameter of 102 mm and mill length of 198 mm. The bead diameter and filling ratio were fixed respectively at 0.5 mm and 85%. The agitator rotational speed was changed from 1863 to 3261 rpm. The bead motion was monitored experimentally using a high-speed video camera through a transparent mill body. For the simulation, enlarged particle sizes were set as 3-6 mm in diameter. With the DEM modified by the enlarged particle model, the motion of enlarged particles in a mill was simulated.The velocity data of the simulated enlarged particles were compared with those obtained in the experiment. The simulated velocity of the enlarged particles depends on the virtual frictional coefficient in the DEM model. The optimized value of the virtual frictional coefficient can be determined by considering the accumulated mean value. Results show that the velocity of the enlarged particles simulated increases with an increase in the optimum virtual frictional coefficient, but the simulated velocity agrees well with that determined experimentally by optimizing the virtual frictional coefficient in the simulation. The computing time in the simulation decreases with increased particle size.