石油亚砜树脂分离稀土的性能研究

应用石油亚砜萃取树脂与ＮＨ＿４ＣＮＳ体系，测定了稀土元素的分配比（Ｋｄ）、分离因素（β）和分离度Ｒｓ），讨论了ＮＨ＿４ＣＮＳ的浓度、稀土进样量和温度等对稀土分离的影响。应用于混合稀土的分离和测定，分析了６０．３２％的氧化钇，相对标准偏差为±１．４７％。     

柔性超级电容器电极材料的制备及其性能研究

柔性储能装置是柔性电子器件的必备材料之一,其具备高柔性、高强度以及优异的电化学性能.以纳米纤维素作为柔性基底,提供支撑增强的作用,探究了不同电化学扫描速率、不同电流密度以及循环充放电对柔性电极材料电化学性能的影响.结果表明,随着扫描速率和电流密度的增大,比电容逐渐下降,扫描速率为10 mV/s时,柔性电极材料的比电容为100.78 F/g,扫描速率为90 mV/s时,比电容降为10.73 F/g,电流密度为0.5 A/g时,柔性电极材料的比电容为70.50 F/g,电流密度为1 A/g时,比电容降为10.10 F/g;在0.5 A/g的电流密度下,充放电一次之后,柔性电极材料的比电容为70.50 F/g;随着石墨烯量的减少,柔性电极材料的面电阻逐渐增大.综合以上结果,由于石墨烯优异的电子传导速率和聚苯胺优异的法拉第电容性能,柔性电极材料具备良好的电化学性能和稳定性,该制备工艺对柔性电极材料研究发展具有一定意义.     

2.4GHz无线技术标准及ZigBee抗干扰性能

介绍了ZigBee和其他几种工作于2.4GHz ISM频段的短距离无线通信技术标准,Wi-Fi、蓝牙和无线USB,对ZigBee本身的抗干扰性能以及与其他无线技术的共存进行了分析,讨论了如何保证ZigBee避免干扰和改善其共存性能.     

基于Web的工作流引擎设计

给出了一个基于Web的工作流引擎的设计方案，它以工作流管理联盟(Workflow Management Coalition)的XPDL(XML Process Definition Language)语言为过程定义语言，用J2EE架构构建系统。并介绍了工作流管理系统的设计。     

海洋环境下储油罐的防腐探究

通过对舟山地区油库的实地调查,分析海洋环境下温度湿度、大气中的盐类颗粒及微生物共同作用下的腐蚀环境的特点。舟山地区储油罐外腐蚀主要集中在底板区域和保温罐易积水部位,且底板外腐蚀情况较为常见。根据舟山地区储油罐外腐蚀的处理方法,探究得出适合海洋环境的防腐措施,主要有:选用合适的储油罐材料、构建合理的防腐涂料体系、合理利用阴极保护法以及建立完善的定期维护和日常保养制度等。     

官地地下尾水岔洞开挖与衬砌稳定研究

水利工程中地下大跨度尾水岔洞往往在结合交叉处形成复杂的三维空间结构,该部位受力性质复杂,位移较大,应力集中,一般需对其进行精细的三维数值模拟,分析开挖与衬砌结构的稳定性。文章利用FLAC3D,计算分析了官地水电站尾水岔洞围岩在开挖情况下的变形、应力及屈服区,对不同应力释放荷载条件下的喷锚支护效果及机理进行了分析评价;在此基础上根据运行和检修工况下的荷载作用情况,计算分析了衬砌结构应力,以及围岩锚杆的受力状态。指出控制作用工况,提出了保持岔洞稳定的措施和对策。计算分析表明:围岩开挖变形量较大,顶拱最大下沉约23 mm,边墙应力释放明显,最大拉应力约3.8 MPa,衬砌最大拉应力在2.0-2.6 MPa之间,岔角处岩体塑性区局部贯通,设计喷锚支护措施处于正常承载状态,支护措施能够满足围岩稳定性要求。计算分析得出的结论已用于指导工程设计,同时也可供其他同类工程的设计和施工参考。     

特高拱坝基础破坏、加固与稳定关键问题研究

特高拱坝的坝基条件大都比较复杂,基础岩体的破坏、加固与稳定评价出现一些关键新问题:坝基岩体力学参数合理取值;坝踵、坝趾基础开裂机制;坝肩非典型软弱蚀变带的处理;贴角区灌浆时机选择;坝趾锚固力损失评价以及大坝-基础非线性稳定分析等.传统的分析方法和加固处理措施日益受到挑战.结合实际工程,就如上问题涉及的研究方法、处理措施...     

Preparation and characterization of flexible self-supported electrodes for lithium-ion batteries from nanofibrillated cellulose

Journal of Materials Science: Materials in Electronics - In this work, nanofibrillated cellulose (NFC), LiFePO4 (LFP), and graphene (GR) were used as raw materials to prepare a flexible...     

Ultra-sensitive thermal conductance measurement of one-dimensional nanostructures enhanced by differential bridge

Thermal conductivity of one-dimensional nanostructures, such as nanowires, nanotubes, and polymer chains, is of significant interest for understanding nanoscale thermal transport phenomena as well as for practical applications in nanoelectronics, energy conversion, and thermal management. Various techniques have been developed during the past decade for measuring this fundamental quantity at the individual nanostructure level. However, the sensitivity of these techniques is generally limited to 1 × 10(-9) W∕K, which is inadequate for small diameter nanostructures that potentially possess thermal conductance ranging between 10(-11) and 10(-10) W∕K. In this paper, we demonstrate an experimental technique which is capable of measuring thermal conductance of ～10(-11) W∕K. The improved sensitivity is achieved by using an on-chip Wheatstone bridge circuit that overcomes several instrumentation issues. It provides a more effective method of characterizing the thermal properties of smaller and less conductive one-dimensional nanostructures. The best sensitivity experimentally achieved experienced a noise equivalent temperature below 0.5 mK and a minimum conductance measurement of 1 × 10(-11) W∕K. Measuring the temperature fluctuation of both the four-point and bridge measurements over a 4 h time period shows a reduction in measured temperature fluctuation from 100 mK to 0.6 mK. Measurement of a 15 nm Ge nanowire and background conductance signal with no wire present demonstrates the increased sensitivity of the bridge method over the traditional four-point I-V measurement. This ultra-sensitive measurement platform allows for thermal measurements of materials at new size scales and will improve our understanding of thermal transport in nanoscale structures.