石墨烯的用量对合成异戊橡胶力学性能和电性能的影响

通过对不同含量的石墨烯与异戊橡胶混炼和硫化,制备出了石墨烯补强的新型异戊橡胶复合材料,硫化特性测试表明石墨烯能够增大异戊橡胶的硫化程度,且随着石墨烯含量增多,石墨烯对异戊橡胶硫化的促进效果也会增强,但是石墨烯含量的增多也会导致异戊橡胶焦烧时间t_(10)的下降,影响橡胶混炼过程的安全性。经过拉伸强度和撕裂强度等力学性能测试表明,石墨烯的添加能够同时增大异戊橡胶的拉伸强度和撕裂强度,当异戊橡胶中加入0.5～1.0份石墨烯时,异戊橡胶的综合力学性能最好。电性能测试结果表明,加入2.0份石墨烯,异戊橡胶的电导率提高近1 000倍,达1.87×10~(-7) S/cm,可以制备适应某些领域的抗静电橡胶和导电橡胶。     

不同流固耦合方法进行轮胎滑水性能仿真研究的对比分析

对比不同流固耦合方法对轮胎滑水性能进行仿真分析的结果。在Workbench平台中分别采用单向、双向流固耦合方法，对轮胎滑水模型在相同工况下的胎面动水压力分布和轮胎变形进行计算，并将两种方法仿真预测的临界滑水速度与经验公式计算值进行比对。结果表明，相对于单向流固耦合方法，双向流固耦合方法计算的相同时刻的动水压力峰值和轮胎变形量峰值较低，压力分布更均匀，临界滑水速度精确度较高，表明双向流固耦合方法更适用于轮胎滑水性能仿真研究。     

基于2D激光扫描的基准检测技术研究

在机器人自动制孔系统中,基准孔检测的准确性会直接影响整个机器人制孔过程的位置精度。为获取基准孔孔位准确信息,采用激光扫描的方式对基准孔进行检测。设计了2D线激光扫描在基准平面内点云的三维转化方法,通过分析基准孔在扫描仪坐标系下点云的分布特点,提出了一种基于坐标差值的基准孔边界提取算法。通过设定相邻点云在线激光扫描仪坐标系下z轴的坐标差值获取边界点,实验验证该算法能有效地去除点云中的噪声点,获取准确的基准孔边缘特征信息,进而得到准确的基准孔孔位信息。     

强碱三元复合驱色谱分离及其影响因素——以大庆油区喇嘛甸油田为例

三元复合驱油体系中驱油剂的协同效应,会使油水间的界面张力大幅度下降,原油采收率大幅度提高;但三元复合驱油体系的色谱分离现象也会破坏其协同效应和完整性,揭示色谱分离现象及其影响因素对于改善三元复合驱油效果具有十分重要意义。以油藏工程和分析化学理论为指导,以化学分析和物理模拟为技术途径,并以大庆喇嘛甸油田典型区块地质特征和流体性质为研究对象,开展强碱三元复合驱色谱分离现象及其影响因素研究。结果表明,采用前置高浓度聚合物段塞后,可以有效扩大波及体积,但表面活性剂与碱和聚合物之间无因次等浓距增加,色谱分离现象加剧。大庆油区喇嘛甸油田不同区块油水性质差异对色谱分离现象存在影响,原因在于部分重烷基苯石油磺酸进入油相,影响水相中浓度检测值。强碱三元复合驱油体系中表面活性剂与碱和聚合物之间色谱分离程度比较严重,碱与聚合物之间较弱。     

电动汽车动态无线电能恒功率充电

电动汽车充电时,且电池电量低于80％时,为了保证充电效率一般采用恒功率充电.在动态无线电能传输系统中,电动汽车的不断移动会导致发射线圈和接受线圈的互感系数变化,致使电动汽车充电不稳定.为实现恒功率充电,提出了一种基于模型预测控制(MPC)的动态无线电能传输系统(DWPT)恒功率输出的控制方法.通过对系统建立数学模型,对输出功率进行模型预测,建立最小化目标函数来获得期望输出功率所对应的最优占空比,使输出功率恒定.进行了模型预测控制的动态无线电能传输系统Simulink仿真,通过对比不同线圈互感系数下的输出功率,验证了该方法的可行性,并且通过搭建实物测得的数据也证实了该方法的可行性.     

千年古陂为何久盛不衰

泰和县槎滩陂修建于公元937年,在牛吼江上游一个急拐弯处用土木作坝截流,顺应弯道河势开挖一弧形引水河段,利用弯道水流运动特性,灌渠引水口正面引水、陂坝侧面溢流,保障了工程防洪安全、运行可靠.为了保障陂坝下游河道农业用水和河道生态用水,在槎滩陂下游3.5km修建碉石陂,买山置田准备了陂坝维修管理的材料和经费.逐步建立了一乡绅大户为陂长、受益农户广泛参与的管理制度.一千多年来盛久不衰、活力无穷,经过不断维修改造,现在灌溉农田3000hm2以上.槎滩陂是我国古代农业灌溉文明的代表性工程,是人水和谐相处的杰出典范,成为世界灌溉工程遗产.     

A Review on the Separation of Niobium and Tantalum by Solvent Extraction

Niobium and tantalum are found together in natural minerals. Leaching with concentrated acid solution or alkaline roasting followed by water/dilute acid leaching results in a solution containing these two metals. In this work, we reviewed the extraction and separation of Nb(V) and Ta(V) from leach liquors in the absence and presence of hydrofluoric acid by acidic, neutral extractants and amines. Several solvent extraction systems were compared in the light of the requirement of hazardous chemicals, extraction/separation efficiency, and stability/solubility of extractants. Since the cationic species of Nb(V) and Ta(V) are unstable in the aqueous solution, the application of acidic extractants for extraction and separation of these metals is limited. Amines can extract Nb(V) as well as Ta(V) irrespective of the presence of fluoride ion but the separation of these metals from the loaded amines should be carried out in stripping process, resulting in process complexity. Another disadvantage encountered for amine is related to high viscosity in extraction process. Neutral extractants are considered as promising extractants which are effective to separate Ta(V) and Nb(V) from either non-fluoride or to moderate fluoride ion concentration in terms of extraction, separation and stripping efficiency. Compared to the traditional methyl iso-butyl ketone (MIBK) based system, methyl isoamyl ketone (MIAK) is found to be a promising extractant to separate Nb(V) and Ta(V).     

Stream-Based Data Sampling Mechanism for Process Object

Process object is the instance of process. Vertexes and edges are in the graph of process object. There are different types of the object itself and the associations between object. For the large-scale data, there are many changes reflected. Recently, how to find appropriate real-time data for process object becomes a hot research topic. Data sampling is a kind of finding c hanges o f p rocess o bjects. There i s r equirements f or s ampling to be adaptive to underlying distribution of data stream. In this paper, we have proposed a adaptive data sampling mechanism to find a ppropriate d ata t o m odeling. F irst o f all, we use concept drift to make the partition of the life cycle of process object. Then, entity community detection is proposed to find changes. Finally, we propose stream-based real-time optimization of data sampling. Contributions of this paper are concept drift, community detection, and stream-based real-time computing. Experiments show the effectiveness and feasibility of our proposed adaptive data sampling mechanism for process object.