焙烧温度对Cu-Mn/γ-Al2O3催化剂催化氧化甲苯性能的影响

采用浸渍法合成了Cu-Mn/γ-Al₂O₃催化剂, 通过XRD、BET、H₂-TPR和XPS等方法对经不同温度(300~600℃)焙烧的催化剂进行表征, 采用固定床管式反应装置考察了焙烧温度对催化剂催化氧化甲苯的影响, 并讨论活性组分、表面Cu⁺/(Cu⁺+Cu²⁺)和Mn⁴⁺/(Mn⁴⁺+Mn³⁺)摩尔比值与催化剂活性的关系。结果发现, 550℃焙烧温度的催化剂活性最好, 氧化能力最强, 其转化率为95%时对应的反应温度T₉₅(286 ℃)最低, CO₂的选择性达100%。在550℃焙烧时生成的Cu_1.4Mn_1.6O₄新相以及催化剂表面中相对含量更高的Cu⁺和Mn⁴⁺是催化剂具有高活性的主要原因。     

Influences of tool plunge speed and tool plunge depth on friction spot joining of AA5454-O aluminum alloy plates with different thicknesses

AA5454-O aluminum alloy plates with the thicknesses of 1.4 and 1.0 mm were friction-spot-joined (FSJed).The plunge speed of the joining tool was changed in a range of 100 500 mm/min under a constant rotation speed of 500 r/min.The plunge depth was ranged from 1.6 mm to 2.2 mm.The tool plunge speed did not make a remarkable effect on the surface appearance and macro-structure of the FSJed zone.The average hardness of the FSJed zone was greater than or equal to that of the base metal.However,there was no remarkable tendency in the average hardness change of the FSJed zone in spite of the variation in the tool plunge speed and tool plunge depth.The increase of the tool plunge depth resulted in the increase of the tensile shear load.However,the change of the tool plunge speed did not lead to the remarkable variation in the tensile shear load of the FSJed plates.It was noteworthy that the FSJed plate exhibited the highest tensile shear load of about 4.0 kN.     

基于16SrRNA对洁净室环境微生物的分析研究

目的建立洁净室环境微生物16SrRNA序列数据库为洁净室环境,评估实验室质量控制,为检出菌溯源分析提供依据。方法采集洁净环境中微生物,使用MegAlign软件Clustal-V法、MEGA6软件NJ法构建进化树,分析其种属特异性。结果本研究共采集到25株微生物,16SrRNA序列分析结果判定葡萄球属8株占32%,芽孢杆菌属12株占48%,5株菌分别属于其他5个属。表面微生物有7株,占28%,沉降菌8株,占32%,浮游菌10株,占40%。结论基本了解洁净室环境微生物构成,初步建立洁净室环境微生物16SrRNA序列数据库,为今后实验室质量控制和检出菌溯源提供基础数据和方法。     

Development of a dimensionless parameter for characterization of dielectric barrier discharge devices with respect to geometrical features

Non-thermal plasma (NTP) devices produce excited and radical species that have higher energy levels than their ground state and are utilized for various applications.There are various types of NTP devices,with dielectric barrier discharge (DBD) reactors being widely used.These DBD devices vary in geometrical configuration and operating parameters,making a comparison of their performance in terms of discharge power characteristics difficult.Therefore,this study proposes a dimensionless parameter that is related to the geometrical features,and is a function of the discharge power with respect to the frequency,voltage,and capacitance of a DBD.The dimensionless parameter,in the form of a ratio of the discharge energy per cycle to the gap capacitive energy,will be useful for engineers and designers to compare the energy characteristics of devices systematically,and could also be used for scaling up DBD devices.From the results in this experiment and from the literature,different DBD devices are categorized into three separate groups according to different levels of the energy ratio.The larger DBD devices have lower energy ratios due to their lower estimated surface discharge areas and capacitive reactance.Therefore,the devices can be categorized according to the energy ratio due to the effects of the geometrical features of the DBD devices,since it affects the surface discharge area and capacitance of the DBD.The DBD devices are also categorized into three separate groups using the Kriegseis factor,but the categorization is different from that of the energy ratio.     

Kinematic design of an anthropomimetic 7-DOF cable-driven robotic arm

In this paper, an anthropomimetic design of a 7-DOF dexterous robotic arm is proposed. Similar to the human arm, the arm consists of three sequentially connected modules, i.e., a 3-DOF shoulder module, a 1-DOF elbow module, and a 3-DOF wrist module. All three arm modules are also driven by cables in order to mimic the driving scheme and functionality of the human muscles. This paper addresses three critical design analysis issues, i.e., the displacement analysis, the tension-closure analysis, and the workspace analysis. A closed-form solution approach is presented for the forward displacement analysis, while the inverse displacement solution is obtained through an efficient optimization algorithm, in which both task-decomposition and dimension-reduction techniques are employed. An effective tension-closure analysis algorithm is also formulated based on the theory of convex analysis. The orientation workspace for the 3-DOF shoulder and wrist modules are then analyzed using a new equi-volumetric partition scheme based on the intuitive Tilt-and-Torsion angle parameterization. An optimization approach is then investigated for the kinematic design of the three joint modules, in which the design objective is to maximize the matched workspace of the robotic arm joints with that of the human arm joints. A research prototype of the 7-DOF cable-driven robotic arm has also been developed in order to demonstrate the anthropomimetic design concept. With a lightweight structure of 1 kg, the cable-driven robotic arm can carry a payload of 5 kg and has motion repeatability of±2.5mm.     

图像超分辨率技术的回顾与展望

图像超分辨率(SR)是计算机视觉中提高图像和视频分辨率的一类重要技术。近年来,得益于神经网络的成功,基于深度学习的图像超分辨率技术正在蓬勃发展,这无疑是超分辨率技术研究的主流方向。对超分辨率工作进行综述。首先,总结目前已有的超分辨率技术,根据其输入输出进行分类介绍;其次,将基于深度学习的单图像超分辨率技术分为有监督学习和无监督学习两类进行论述,并对部分具有代表性的最新超分辨率重建技术进行总结分类介绍;然后,讨论了超分辨率技术的相关问题,即性能评价指标、标准数据集,进而对几种典型算法进行实验对比;最后,对图像超分辨率算法未来的研究趋势进行展望。     

Novel zero-voltage and zero-current-switching full-bridge PWMconverter using a simple auxiliary circuit

A novel zero-voltage and zero-current-switching (ZVZCS) full-bridge pulsewidth modulation converter is presented to simplify the circuits of the previously presented ZVSCS converters. A simple auxiliary circuit, which consists of one small capacitor and two small diodes, is added in the secondary to provide ZVZCS conditions to primary switches, as well as to clamp secondary rectifier voltage. The additional clamp circuit for the secondary rectifier is not necessary. The auxiliary circuit includes neither lossy components nor additional active switches, which makes the proposed converter efficient and cost effective. The principle of operation, features, and design considerations are illustrated and verified on a 2.5 kW 100 kHz insulated-gate-bipolar-transistor-based experimental circuit     

一种基于P学习的分布式并行多任务分配算法

并行多任务分配是多agent系统中极具挑战性的课题, 主要面向资源分配、灾害应急管理等应用需求, 研究如何把一组待求解任务分配给相应的agent联盟去执行. 本文提出了一种基于自组织、自学习agent的分布式并行多任务分配算法, 该算法引入P学习设计了单agent寻找任务的学习模型, 并给出了agent之间通信和协商策略. 对比实验说明该算法不仅能快速寻找到每个任务的求解联盟, 而且能明确给出联盟中各agent成员的实际资源承担量, 从而可以为实际的控制和决策任务提供有价值的参考依据.