破乳剂与原油管道混合流动的数值模拟

原油开采过程中,原油遇水能够形成比较稳定的乳化液,添加破乳剂是快速高效脱去原油中水的最有效的方法。对破乳剂与原油两相混合的流动形态进行了数值模拟,得出破乳剂在不同速度、不同入口角度下加入原油管道后两相流动的速度分布图和浓度分布图。经过对比发现,当药剂入口角度为0°,药剂流入速度越大,越有利于破乳剂的扩散,破乳剂和原油的混合效果最好,就更有利于原油的脱水。     

Differences in electrochemical corrosion behaviours between selective laser melted and wrought Ti6Al4V alloys in acid fluoride-containing artificial saliva

Journal of Applied Electrochemistry - In this work, the electrochemical corrosion behaviours of selective laser melted (SLMed) and wrought Ti6Al4V alloys in acid fluoride-containing artificial...     

强油非导向变压器热特性分析及优化设计

本文中作者借助流体软件对强油非导向变压器进行了热特性分析,并对变压器内部散热油路及冷却器进行了优化设计.     

依据角度位置变速的铺匀器控制系统

用角度测量传感器，检测铺匀器的角度变化，并用新型的电、液控制技术，实施了对铺匀器的变速控制。此设计经实际使用，效果良好。     

IDEF0法建立模具CAD／CAM系统的功能模型

本文阐述了 IDEFO 法建立系统功能模型的步骤、方法和意义,IDEFO 法是一种结构化的系统分析方法,最后用一个简单实例加以说明。     

Effect of grain size on high-temperature oxidation behavior of Cu-80Ni alloy

1　INTRODUCTIONTheoxidationofunalloyedcopperandnickelhasalreadybeenstudiedindetail.Whilethehigh tem peratureoxidationofCu Nialloys ,alsostudiedanumberoftimestodate[13] ,isanexampleofarela tivelysimpleclassofscalingofbinaryalloysbyasin gleoxidant,becausethemetalsformacontinuousse riesofsolidsolutions ,whiletheiroxides ,CuO ,Cu2 OandNiO ,exhibitsmallmutualsolubilitiesandshowsignificantdifferencesinthethermodynamicstabilityandparabolicgrowthrates .Thus ,copper richalloysformexternalscales…     

汽车用磁性材料和磁性器件

汽车前灯装置用的磁性材料为了减少汽车夜间行驶的交通事故,一个重要的办法就是提高驾驶员的眼睛的夜间辨认能力,这就要在汽车上安装高亮度前灯（High Intensity Dischrge Lamp,简写为HID灯）,这种灯较传统用的卤灯省电且更亮,这样驾驶员就能借助它容易发现路面障碍物.HID灯是水银灯、金属卤化物灯、高压钠灯的统称.其中金属卤化物灯用作汽车前灯有2个缺点：①从点灯至达到规定亮度需数分至数十分钟;②一旦灯灭,再点着也必需数分至数十分钟.为克服这两点缺点在其点灯电路中必须设置变换器和触发器.     

一种基于RGV、AGV的柔性输送系统

随着现代制造业的迅速发展,我国的物流行业也随之崛起,并且逐渐受到全社会的广泛关注。早期的人工物流、机械化物流方式,已经远远不能满足现在大规模生产流水线的需求。本文提出了一种基于RGV、AGV的柔性输送系统,其中环形RGV输送系统通过成对的码头和码头之间的流水线与AGV输送系统、非环形往复式RGV输送系统相接驳;AGV输送系统和非环形往复式RGV输送系统用于将物流货品从环形RGV输送系统送入或送出指定物流系统。该系统有效地克服传统单一RGV输送系统对使用场所的适应性差、轨道占用空间大等缺点,同时避免使用单一AGV输送系统带来的输送效率较低、设备及维护成本较高等问题。     

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.     

Quantum state transfer between an optomechanical cavity and a diamond nuclear spin ensemble

We explore an efficient scheme for transferring quantum state between an optomechanical cavity and nuclear spins of nitrogen-vacancy centers in diamond, where quantum information can be efficiently stored (retrieved) into (from) the nuclear spin ensemble assisted by a mechanical resonator in a dispersive regime. Our scheme works for a broad range of cavity frequencies and might have potential applications in employing the nuclear spin ensemble as a memory in quantum information processing. The feasibility of our protocol is analyzed using currently available parameters.