压电双晶片型旋转精密驱动器动态特性和控制

提出了以自由端带有集中质量的悬臂式压电双晶片为驱动单元的新型冲击式旋转精密驱动器.制作了驱动器样机,建立了基于Lugre摩擦模型的驱动器动力学模型.对驱动器动态特性进行了仿真分析和实验对比研究.根据驱动器的动态特性,提出了冲击式压电双晶片型精密驱动器特定的定频调压控制方法.仿真分析结果和实验结果吻合较好,表明该动力学模型符合驱动器的动态特性,可用于对冲击式压电双晶片型旋转精密驱动器的理论分析.     

新型细胞固定化载体强化白腐菌降解活性染料

为提高白腐真菌的产酶能力和后续对染料的降解效果,采用摇瓶试验研究新型细胞固定化载体——聚氨酯泡沫固定化白腐真菌后的锰过氧化物酶(MnP)产生情况以及后续对活性染料——活性艳红K-2BP的降解效果.结果显示,新型载体固定化培养白腐真菌的5d脱色率为95%,比悬浮培养7d的脱色率高15%.固定化培养产生的MnP酶活为936.61U/L,而悬浮培养的MnP仅为269.52U/L,并且酶活高峰期提前4d.另外,固定化培养体系中碳、氮源的消耗比悬浮培养快很多,而且固定化培养使得白腐真菌具有较高的H2O2产量.因此,新型细胞固定化载体强化白腐真菌降解活性染料的原因应归于这种培养体系碳、氮源的快速消耗而带来的MnP酶活的提高和高H2O2产量.     

适度出砂技术在海上稠油油田的应用研究

通过理论计算和室内出砂模拟实验,分别从地层出砂、井筒附近防砂以及井筒内的携砂生产三方面时适度出砂开采方式进行了研究.结果表明:地层出砂对储层物性有所改善,不同粒径段颗粒出砂1%后,渗透率增幅为20%左右,其中细微砂粒(<39 μm)的产出对渗透率提高贡献最大,为21,07%-37.60%;防砂管和地层环空间砂粒的堆积对产能影响很大,环空无砂时产能提高1.71倍,但当环空充满砂时产能仅提高14.70%;只有当井筒内的流体流速大于等于砂粒的沉降末速时产出砂才能被携带出井筒.该开采方式在渤海稠油油田得到成功应用.     

浅析数据仓库中的元数据管理技术

数据仓库是数据库的发展方向之一,对企业管理和决策支持起着重要的辅助作用.简要介绍了数据仓库和元数据的基本概念,重点阐述了元数据的功能、管理、CWM标准、来源,并就元数据具体应用进行了初步的研究和探讨.     

高等教育的公益性与高校学报的对应关系

高校学报是高等教育体系的有机组成部分,对高校学报的考察和定位不可脱离这一关系。高校学报的使命与高等教育的使命紧密相连,其基本属性与高等教育的基本属性是一致的。高校学报是公益性的出版单位,其出版的学报属于准公共产品。在出版业改革中,作为公益性出版的高校学报与所在学校的隶属关系无需改变。撇开与大学的整体关系,以刊论刊,孤立地将学报与营利性期刊等同对待是片面的。     

壁湍流周期性吹吸减阻的实验研究

为了研究局部周期性吹吸小扰动对湍流边界层的影响和湍流相干结构减阻控制机理,用实验方法研究了局部周期性吹吸小扰动与湍流边界层的相互作用.采用热线测速技术精细测量了施加吹扰动前后平板湍流边界层不同法向位置的流向、法向和展向速度分量的时间序列信号;通过测量扰动源下游近壁区域平均速度剖面的变化,发现在扰动下游一定空间范围内,粘性底层增厚和壁面减阻;通过对湍流度变化的分析,发现扰动影响猝发的发生;此外通过对展向平均涡量变化的分析发现,在扰动下游形成了2个定常的、强度相似的、大尺度的展向涡,它们起到流体滚动轴承的作用,减小了壁面摩擦阻力.     

Preparation and characterization of TiO2 photoelectrode codoped with aluminum and boron and its application in dye-sensitized solar cell

Nanocrystalline titania films codoped with aluminum and boron were prepared by cathodic vacuum arc deposition. In the process, titanium alloy target was used under an O2/Ar atmosphere, and sensitization of films were carried out by natural dye-sensitized complex in anhydrous ethanol. The structure, surface morphology and UV-vis spectra of titania films codoped were measured by X-ray diffraction analysis, scanning electron microscopy and ultraviolet-visible spectrometer. Theas-deposited films are found to be amorphous. The films annealed were examinedto be of anatase structure with orientation along the (101) planes, the averagecrystal size is in the range between 41 and 45 nm. SEM results show that thereare some pores in the codoped titania films, the optical properties of the dye-sensitized films were also measured which reveals that the spectral responses of films shift to the visible region. Under simulated sunlight illumination, the overall energy conversion efficiency of dye-sensitized nanocrystalline solar cell is 0.9%.     

Experimental Study of Microstructure Evolution during Tempering of Quenched Steel and Its Application

LARGE-SIZED FORGINGS are usually intensivelyquenched to obtain the desired microstructuredistribution,high strength and hardness.Becauseresidual stresses are high in quenched large-sizedforgings,tempering processes follow quenchingprocesses to reduce the residual stress and obtain goodmechanical properties.Several differentmicrostructures are generated in quenched steelforgings,such as martensite,bainite and retainedaustenite.Modeling of microstructure evolution inquenched steel during …     

国外小电流空气等离子弧切割技术的发展

本文就小电流空气等离子弧切割工艺的特性、切割质量、切割设备、存在问题和应用情况作了综合介绍。当工作气体含氧量为20％时,切割速度急剧增加,大大优于气割。     

Strong Convergence Analysis of Batch Gradient-Based Learning Algorithm for Training Pi-Sigma Network Based on TSK Fuzzy Models

By combining of the benefits of high-order network and TSK (Tagaki-Sugeno-Kang) inference system, Pi-Sigma network is capable to dispose with the nonlinear problems much more effectively, which means it has a compacter construction, and quicker computational speed. The aim of this paper is to present a gradient-based learning method for Pi-Sigma network to train TSK fuzzy inference system. Moreover, some strong convergence results are established based on the weak convergence outcomes, which indicates that the sequence of weighted fuzzy parameters gets to a fixed point. Simulation results show the modified learning algorithm is effective to support the theoretical results.