基于超级电容器的TiN@CNTF电极制备及性能研究

超级电容器因其独特的性能在便携式、可穿戴电子器件领域有着很大的应用潜力。目前对超级电容器的研究主要集中在对超级电容器电极材料的研究上。碳纳米管纤维具有电导率高、力学性能好、柔韧性高等优点,是超级电容器的理想电极材料。但是,碳纳米管纤维电容量的提升被其较小的比表面积所限制。通过在碳纳米管纤维表面生长三维阵列能够有效提高碳管纤维的比表面积,从而增大电容量。因此,采用水热法,在碳纳米管纤维表面成功生长TiO2纳米阵列,并通过氨气氮化获得了TiN@CNTF电极材料。采用三电极测试TiN@CNTF电极在Na2SO4溶液中的比电容达到215.5mF/cm2,有望作为一种柔性超级电容器的负极材料得到应用。     

石墨烯-碳量子点复合材料的电化学性能研究

采用Hummers法和水热法,制备石墨烯和碳量子点溶液作为前驱体,然后通过一步煅烧法制得石墨烯-碳量子点复合材料。借助SEM、UV-Vis、FTIR等手段,对样品的形貌和结构进行表征;利用循环伏安法(CV)、差分脉冲伏安法(DPV)及恒流充放电循环测试等,重点考察了样品的电化学性能。结果表明,在石墨烯表面负载碳量子点可增加材料的比表面积并改善其机械性能,由于活性位点的增加,所制石墨烯-碳量子点复合电极具有较好的可逆性及电化学活性;在检测不同浓度双氧水时,复合电极的灵敏度为纯石墨烯电极的1.4倍左右;石墨烯-碳量子点复合材料作为锂离子电池负极使用时,与纯石墨烯材料相比具有更好的循环稳定性,且容量保持率提高了1.67倍。     

Microstructure characterization and hydrogen storage properties study of Mg2Ni0.92M0.08 (M = Ti, V, Fe or Si) alloys

In the present study Mg_2Ni-type compounds alloyed independently with Ti,V,Fe and Si were successfully prepared by wet-milling followed by sintering.Although these alloyed Mg_2Ni compounds exhibited a similar hydrogen storage mechanism as that of pure Mg_2Ni,the dissolution of Ti,V or Fe into the Mg_2NiH_4lattice had a considerable catalytic effect on hydrogen desorption from additional MgH_2.The further structure investigations clearly indicated that the substitution of Ti for Ni could suppress the formation of the micro-twined low-temperature phase(LT2)and promote the formation of the high-temperature phase(HT),thus resulting in remarkably improved hydrogen desorption kinetics for the Mg_2Ni_(0.92)Ti_(0.08)–H system.     

Coupling effects of tungsten and molybdenum on microstructure and stressrupture properties of a nickel-base cast superalloy

In order to comprehensively understand the forming mechanism of abnormal phases solidified in a nickel-base cast superalloy with additives of tungsten and molybdenum, the coupling effects of W and Mo on the microstructure and stress-rupture properties were investigated in this paper. The results indicated that the precipitation of primary α-(W, Mo) phase depended tremendously on the amount of W and Mo addition. When the total amount of W and Mo was greater than 5.79 at%, α-(W, Mo) phase became easily precipitated in the alloy.With increasing of Mo/W ratio, the dendrite-like α-(W, Mo) phases were apt to convert into small bars or blockylike phases at the vicinities of γ′/γ eutectic. The morphological changes of α-(W, Mo) phase can be interpreted as the non-equilibrium solidification of W and Mo in the alloy. Since the large sized α-(W, Mo) phase has detrimental effects on stress-rupture properties in as-cast conditions, secondary cracks may mainly initiate at and then propagate along the interfaces of brittle phases and soft matrix. During exposing at 1100 ℃ for 1000 h, the α-(W, Mo) phases transformed gradually into bigger and harder M_6C carbide, which results in decreasing of stress-rupture properties of the alloy. Finally, the alloy with an addition of 14W-1Mo(wt%) maintained the longest stress lives at high temperatures and therefore it revealed the best microstructure stability after 1100 ℃/1000 h thermal exposure.     

无锡市科技社团人才培养策略研究

为实施我国人才兴国战略和全面建设"强富美高"新无锡,笔者客观分析了无锡科技社团人才培育的现状,发现人才结构偏大龄化、科技社团管理人才缺乏、人才发展机制缺失等是目前存在的主要问题。针对以上问题,通过走访调研及相关文献资料研究,对本市科技人才培养提出了新的人才培育策略,如对科技人才内涵重新界定、针对国内不同学龄阶段的科技人才分段培养、提倡科技社团职业经理人的培养、实施科技人才全球化战略和注重现有科技人才保护等策略。     

基于树状分子及炭黑复合纳米材料修饰电极的Cr(VI)电化学检测

用树状分子及炭黑纳米复合材料修饰玻碳电极,并对六价铬Cr(VI)进行电化学测定.采用X射线光电子能谱(XPS)、循环伏安法(CV)、交流阻抗法(EIS)、方波溶出伏安法(SWSV)等方法对修饰电极进行了表征.研究发现多种其他离子如Ni~(2+)、Co~(2+)、Pb~(2+)、Cu~(2+)、Cd~(2+)、NO_3~-、SO_4~(2-)、Cl~-等对六价铬离子的测定没有明显干扰,且Cr(VI)的还原峰电流与Cr(VI)的物质的量浓度在4~60 nmol/L和0.06~500μmol/L范围内呈线性关系,检测限达1 nmol/L.该法具有简便快速,选择性好,线性范围宽,灵敏度高等优点.     

基于容积粒子滤波的交互式多模型算法

针对非线性非高斯条件下目标跟踪容易发散和精度下降等问题,将容积粒子滤波引入到交互式多模型算法中,提出了一种基于容积粒子滤波的交互式多模型算法。该算法在粒子先验分布更新阶段,利用容积卡尔曼滤波器融入最新的观测数据并产生重要性密度函数,使其更加逼近系统真实状态的后验概率密度,改善了粒子滤波的性能。仿真表明在运算时间未显著变化的情况下,该算法与交互式多模型无迹粒子滤波算法相比有着更高的滤波精度和稳定性。     

Flow and heat transfer behaviour of nanofluids in microchannels

Flow and heat transfer of aqueous based silica and alumina nanofluids in microchannels were experimentally investigated. The measured friction factors were higher than conventional model predictions at low Reynolds numbers particularly with high nanoparticle concentrations. A decrease in the friction factor was observed with increasing Reynolds number, possibly due to the augmentation of nanoparticle aggregate shape arising from fluid shear and alteration of local nanoparticle concentration and nanofluid viscosity. Augmentation of the silica nanoparticle morphology by fluid shear may also have affected the friction factor due to possible formation of a core/shell structure of the particles. Measured thermal conductivities of the silica nanofluids were in approximate agreement with the Maxwell-Crosser model, whereas the alumina nanofluids only showed slight enhancements. Enhanced convective heat transfer was observed for both nanofluids, relative to their base fluids (water), at low particle concentrations. Heat transfer enhancement increased with increasing Reynolds number and microchannel hydraulic diameter. However, the majority of experiments showed a larger increase in pumping power requirements relative to heat transfer enhancements, which may hinder the industrial uptake of the nanofluids, particularly in confined environments, such as Micro Electro-Mechanical Systems (MEMS).     

Two Innovative Coalition Formation Models for Dynamic Task Allocation in Disaster Rescues

This paper addresses the problem of multi-objective coalition formation for task allocation. In disaster rescue, due to the dynamics of environments, heterogeneity and complexity of tasks as well as limited available agents, it is hard for the single-objective and single (task)-to-single (agent) task allocation approaches to handle task allocation in such circumstances. To this end, two multi-objective coalition formation for task allocation models are proposed for disaster rescues in this paper. First, through coalition formation, the proposed models enable agents to cooperatively perform complex tasks that cannot be completed by single agent. In addition, through adjusting the weights of multiple task allocation objectives, the proposed models can employ the linear programming to generate more adaptive task allocation plans, which can satisfy different task allocation requirements in disaster rescue. Finally, through employing the multi-stage task allocation mechanism of the dynamic programming, the proposed models can handle the dynamics of tasks and agents in disaster environments. Experimental results indicate that the proposed models have good performance on coalition formation for task allocation in disaster environments, which can generate suitable task allocation plans according to various objectives of task allocation.