Reinforcing effect of nanocrystalline cellulose and office waste paper fibers on mechanical and thermal properties of poly (lactic acid) composites

Nanocrystalline cellulose (NCC) was prepared from office waste paper (OWP) by sulfuric acid hydrolysis method in this paper and it was used to prepare a series of poly (lactic acid) PLA/NCC composites by using a dissolution method in solvent N, N-dimethylformamide solution. The results indicated that with the addition of only 3 wt% NCC, the composites exhibited outstanding mechanical property. The tensile, bending and impact properties of the PLA/3NCC composite were improved by 8.2%, 13.1%, and 35.9% than those of pure PLA, respectively. On this basis, office waste paper fibers (OWF) were also used as a physical blended filler to enhance PLA/NCC composites to reduce the preparation cost of PLA composites and the perfect PLA/NCC/OWF sample was easily manufactured by melting–blending and injection molding. According to the crystallization and melting performance table, both NCC and OWF can act as nucleating agent to promote the crystallization properties on composites, while the blends did not have positive effect on thermal stability. Furthermore, the water absorption and degradation properties of PLA composites were also studied. This work not only provided a novel idea for the utilization of office waste paper but also successfully produced environment friendly composites with favorable mechanical properties and crystallization performance.     

基于自适应基准锁相环的高速永磁电机转子位置误差全补偿方法

转子位置信息的精度影响高速永磁同步电机的运行性能,在高速运行条件下,转子位置估算容易受到环路滤波器和电机参数偏差等非理想因素的影响.首先,针对转子位置估算误差,该文提出一种自适应基准锁相环,主要思想是锁相环通过误差重构,实现对基频相关误差补偿.在此基础上,以最小电流为目标自适应调节锁相环的锁相基准,实现对非基频相关误差的补偿,最终实现对位置误差的全补偿,该方法实现简单、参数依赖性低、鲁棒性强.最后,基于一台高速永磁同步电机进行仿真与实验,结果验证了所提出方法的有效性.     

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。     

压力加工机械载荷与轴温的监测

分析了压力加工载荷和轴温监测的基本要求，介绍了载荷和轴温测量的原理与技术，说明了监测方案的设计及实施方法。     

金属蜂窝负载Pd催化甲烷部分氧化制合成气

采用浸渍法制备负载金属Pd(其中金属Pd含量0.6g/L)活性组分的金属蜂窝载体催化剂,应用于甲烷部分氧化制合成气。实验表明,焙烧温度为950℃的催化剂较600℃的催化剂甲烷转化率、CO和H2的选择性更高,焙烧温度为950℃的催化剂在反应温度800℃,GHSV=1×105ml/g·h条件下,甲烷转化率为91%,CO和H2的选择性分别达到90%和89%。用SEM与XPS对催化剂进行表征,结果表明,950℃焙烧催化剂并没有出现明显的烧结现象,且可能由于更多零价Pd的出现,使得该催化剂的性能更好。由于金属蜂窝载体优良的导热性,对950℃焙烧温度制备的金属蜂窝催化剂,催化剂床层的飞温点温度小于880℃,可以解决其它类型催化剂在甲烷部分氧化反应中出现的飞温问题,具有一定的工业化意义。     

Hydraulic erosion of concrete by a submerged jet

The hydraulic erosion of concrete is often found in civil and marine engineering construction. The present study explores the effects of several erosion parameters on the material loss of a concrete specimen subject to the hydraulic flow produced by a submerged jet. Such an investigation has rarely been reported in the literature. The concrete specimen has a typical compressive strength of 35 MPa, and the experimental parameters include the exposure time, incidence angle, standoff distance, and the hydraulic jet pressure. The impinging velocity is estimated based on the distance considered in the round jet model. The regression analysis shows the relationship between each parameter and the material loss. One finds that the material loss is proportional to the exposure time and the hydraulic pressure. The maximum erosion lies at an incidence angle of around 30° to 45° and is affected by the fourth-order polynomial of impinging velocity. The result of the present study provides a reference to engineering practice where concrete erosion is a concern.     

小尺寸钛酸钡粉体的制备与表征

以不同比例无水及八水合氢氧化钡混合物为钡源，并以钛酸四异丙酯为钛源，采用改进的氢氧化物．醇盐法常压下回流10h可得到的颗粒尺寸分布窄，平均粒径约13nm的钛酸钡粉体。借助XRD及TEM对粉体物性进行了表征。实验结果表明，该法制得的钛酸钡粉体为亚稳态立方晶相晶体，晶粒尺寸随钡源中无水氢氧化钡含量的增加或反应温度的降低而减小；降低钡源中无水氢氧化钡的含量及提高反应温度均有利于加快钛酸钡粉体的生成速率。     

Resistance welding of carbon fibre reinforced polyetheretherketone composites using metal mesh and PEI film

Weldability of polyetheretherketone( PEEK) with polyetherimide( PEI) is tested. And carbon fiber reinforced PEEK laminates are resistance welded using stainless steel mesh heating element. The effects of the welding time and welding pressure on the lap shear strength of joints are investigated. Results show that PEEK can heal with PEI well in welding condition and the lap shear strength of PEEK/CF(carbon fibre) joint increases linearly with welding time, but reaches a maximum value when welding pressure ranging from 0.3 MPa to 0.5 MPa with constant welding time. The fracture characteristics of surface are analyzed by SEM techniques, and four types of fracture modes of lap shear joints are suggested.     

基于拓扑结构变化趋势的MCL优化算法

该文提出一种高精度的移动传感器网络中实现定位跟踪的方法,该方法利用未知节点在运动过程中网络拓扑结构变化的信息提高锚节点利用率,并改善样本采集效率。在无拓扑结构变化的情况下采用牛顿插值方法对节点当前位置进行预测,当拓扑结构有变化时,采用拓扑结构变化构建适应值函数,并用粒子群算法优化样本点的质量。仿真实验结果表明,该文算法与传统算法相比加快了收敛速度,提高了定位精度,改善了在低锚节点密度时的性能。     

Research on social relations cognitive model of mobile nodes in Internet of Things

Interaction and communication between humans with smart mobile devices are a new trend of development in Internet of Things (IoT). With the powerful sensing capability of smart device and human mobility, various services could be provided by building a trusted chain between service requesters and suppliers. The cognition of social relations between mobile nodes is the basis of final mobile-aware services. It involves many decision factors, such as time, space and activity patterns. Using social network theory, a new cognitive model for social relations of mobile nodes in IoT is proposed. Firstly, nodes' social relations are reasoned and quantified from multiple perspectives based on the summary of social characteristics of mobile nodes and the definition of different decision factors. Then the location factor, interconnection factor, service evaluation factor and feedback aggregation factor are defined to solve the shortcomings in existing quantitative models. Finally, the weight distribution is set up by information entropy and rough set theory for these decision factors; it can overcome the shortage of traditional methods, in which the weight is set up by subjective ways and hence their dynamic adaptability is poor. We compare our cognitive model to existing models using MIT dataset by defining a variety of test indicators, such as network overall density (NOD), the degree center potential (DCP), the network distribution index (EI), etc. Simulation results show that, the cognitive model has better internal structure and significant validity in network analysis, and thus can provide mobile-aware service effectively in dynamic environment.