Nanoporous copper sonocatalysts prepared by dealloying Cu–Al–Ti amorphous ribbons

ABSTRACT

Nanoporous copper (NPC) with a controllable ligament width was prepared by chemically dealloying Cu₄₅Al₄₅Ti₁₀ amorphous ribbons in dilute HCl solution. X-ray diffraction and scanning electron microscopy analysis confirmed the 3D, bicontinuous, nanoporous structure constituting fcc-Cu ligaments of 39–79?nm thickness. The coarsening of NPC ligaments increased significantly with an increase of HCl concentration, reaction temperature or time. The surface diffusivity and activation energy of NPC were also calculated. Finally, the catalytic activity of NPC was validated with the ultrasound and H₂O₂-assisted degradation of methyl orange (MO), where 99% MO was degraded within 15?min.     

永磁直线电机扰动估计与补偿的位置反步控制

由于永磁直线同步电机直接驱动负载,负载突变、摩擦力和推力波动等各种干扰也将无缓冲地直接作用于电机动子上,如果不加以考虑,将会严重影响伺服系统的精度.为了克服不确定性扰动给永磁直线同步电机位置伺服系统带来的不良影响,提出一种鲁棒反步控制策略.首先,对永磁直线同步电机的数学模型进行分析,将负载阻力、推力波动和摩擦力等作为总干扰;然后,设计一种观测器对总干扰进行估计,将干扰的估计值引入到反步控制律中,起到对扰动进行补偿的作用,并利用Lyapunov函数分析系统的稳定性;最后,通过与不带扰动补偿的反步控制进行仿真比较,结果表明所提出的控制策略能够有效消除不确定性扰动对系统的影响,增强伺服系统的鲁棒性,提高电机位置的跟踪精度.     

5×5棒束通道内流动转捩特性研究

棒束通道的特殊结构导致其内部流动转捩情况较为复杂，探究其内部流动转捩规律具有重要意义。本文针对棒束通道内的流动转捩特性开展实验与CFD模拟研究，通过实验获得了棒束通道内沿程阻力系数的变化规律；采用不同湍流模型进行了数值模拟。结果表明，SST k-ω模型能较好地反映实验结果。进一步对比了不同雷诺数工况下通道内不同位置的沿程阻力系数与湍流强度，发现对于不同子通道，中心子通道湍流强度与沿程阻力系数高于边角子通道；对于同一子通道，子通道中心处湍流强度与壁面切应力高于子通道边缘处。这一结果说明，受壁面影响，棒束内湍流强度、壁面切应力、阻力特性具有不均匀性，这些空间上的不均匀性相互作用会引起总体上棒束转捩点不明显。     

物联网信息的智能采集方法研究

随着近几年来互联网技术的不断发展,大数据技术开始应用到了各行各业的生产中,大数据技术已经与当前的互联网、物联网建设有了直接关联。大数据技术也因此成为了物联网信息智能采集系统设计的重要技术内容之一。在与大数据环境下,物联网信息智能采集方法的研究工作成为重点,本文对大数据环境下物联网信息智能采集方法进行了详细研究。     

NiMn2O4尖晶石氧化物阴极的制备及电化学性能研究

高性能阴极材料的开发对推动中温固体氧化物燃料电池（intermediate temperature solid oxide fuel cells, IT-SOFCs）的发展具有重要意义。本文采用溶胶-凝胶法制备了尖晶石型NiMn₂O₄（NMO）电子-离子混合导体材料，并作为IT-SOFCs阴极进行了系统的研究，通过X射线衍射表征确定NMO材料呈稳定的立方相结构，并采用电导弛豫方法对其氧离子传导能力进行了研究。发现NMO具有优秀的氧离子传导能力，为其电化学性能提供了保障。对称电池的电化学阻抗谱测试结果表明，800℃时NMO阴极材料的界面电阻值为0.27 Ω·cm^-2，同时作为阳极支撑型SOFC的阴极材料进行放电时的最大功率密度可以达到864.9 mW·cm^-2。上述结果表明，NiMn₂O₄是一种极具潜力的IT-SOFCs阴极材料。     

一种基于双重ddPCR的肉制品中牛源性成分的定量分析方法

将低价肉类原料掺入高价肉制品是一种典型的肉类掺假方式，为准确鉴别牛肉及牛肉制品的真伪，建立一种基于双重微滴式数字聚合酶链式反应（droplet digital polymerase chain reaction，ddPCR）的牛源性成分定量分析方法。通过对14 种动物的Beta-actin单拷贝基因序列进行分析，设计牛源性特异性引物、探针与动物源性成分通用引物、探针并建立双重ddPCR体系，推导出牛源性成分质量与其特异性扩增拷贝数之间的计算公式，对牛源性成分进行定量检测该方法得到牛源性成分质量M牛（mg）与其特异性扩增拷贝数浓度C牛（copies/μL）之间的计算公式为M牛=0.033C牛＋2.37，对已知牛肉质量的混合肉样品与不同部位的牛肉样品进行检测，结果显示牛肉定量检测值与实际质量基本一致。同时拷贝数相对含量可辅助判断肉制品中是否存在非牛源性的其他动物源性成分掺假。对市售样品的检测发现，存在目标肉样含量不达标以及不同程度的动物源性成分等掺假现象，说明该检测方法可为牛肉制品掺假量化判定和混合源性产品分级鉴定提供技术支撑。     

基于时序数据的云网协同平台人工智能运维体系

云计算在企业应用中的拓展不但表现为平台规模的拓展，也表现为平台应用的延伸。“云网协同”和“微服务化”是当前企业云平台演进的重要趋势。随着企业信息化建设重要性的持续提升，微服务化云网协同平台的运行维护面临极大挑战。首先分析了平台运维面临的挑战，梳理了平台人工智能运维需求，提出了基于时序数据分析的平台人工智能运维技术体系，并给出了云网协同平台人工智能运维子系统参考设计。所提技术体系和系统设计具有实用性和推广性，可以作为企业云平台建设和优化的技术途径参考。     

基于GL0816传感器的高速线阵CMOS相机系统设计

为了满足印刷等高端工业检测中物体快速运动,需要大幅面、高行频、高分辨率图像采集等要求,研发了一款微米级高分辨率、高速线阵工业相机。首先,介绍了高行频、高分辨率国产CMOS图像传感器GL0816的功能与特点。然后,基于该芯片设计了一套高速大幅面高分辨率线阵工业相机系统,该系统采用FPGA作为整个系统的控制核心,以DDR3LSDRAM作为图像缓存器,以GigE vision2.0协议为输出标准,以SFP+作为高速图像输出接口。最后,搭建相机系统测试环境,对所设计的相机进行系统测试。结果表明:该相机系统行分辨率为8 192,可连续采集2 000行作为一帧图像输出,行频为50kHz,动态范围为57.32dB,信噪比为40.95dB,具有实时图像采集功能。该相机系统具有大幅面、高帧频、高分辨率、高信噪比、宽动态范围等优点,适用于印刷检测行业快速运动目标捕获成像及图像实时显示。     

Agglomeration Mechanism of Complex Ti-Al Oxides in Liquid Ferrous Alloys Considering High-Temperature Interfacial Phenomenon

Metallurgical and Materials Transactions B - This work presents the agglomeration mechanism of complex Ti-Al oxides in the liquid ferrous alloy. Cluster characteristics were investigated using Al...     

Methylglyoxal: A newly detected and potentially harmful metabolite in the blood of ketotic dairy cows

Ketosis causes serious economic losses for the modern dairy industry because it is a highly prevalent metabolic disease among cows in high-producing herds during the transition period. Due to some striking similarities between diabetes in humans and ketosis in dairy cows, there is potential for the use of methylglyoxal (MGO)—commonly used in human diabetics—as a biomarker in dairy cattle. However, currently no data are available about the presence of MGO in the serum of dairy cattle or about the characteristics of its production or its potential contribution in the pathogenesis of ketosis. To determine the potential origin and pathway of formation of MGO, cows in different metabolic conditions [i.e., non-subclinically ketotic dairy cows in early lactation (n = 7), subclinically ketotic dairy cows in early lactation (n = 8), overconditioned dry cows (BCS >4.25, n = 6), and nonlactating heifers (n = 6)] were selected. Serum MGO concentrations were determined and correlated with indicators of the glucose and lipid metabolism and with haptoglobin (Hp) as an inflammatory marker. The serum MGO concentrations in subclinically ketotic cows (712.60 ± 278.77 nmol/L) were significantly greater than in nonlactating heifers (113.35 ± 38.90 nmol/L), overconditioned dry cows (259.71 ± 117.97 nmol/L), and non-subclinically ketotic cows (347.83 ± 63.56 nmol/L). In serum of lactating cows, concentrations of glucose and fructosamine were lower than in heifers and were negatively correlated with MGO concentrations. Even so, concentrations of metabolic and inflammatory markers such as dihydroxyacetone phosphate, nonesterified fatty acids, β-hydroxybutyrate, acetone, and Hp were remarkably higher in subclinically ketotic cows compared with nonlactating heifers; these metabolites were also positively correlated with MGO. In human diabetics elevated MGO concentrations are stated to originate from both hyperglycemia and the enhanced lipid metabolism, whereas higher MGO concentrations in subclinically ketotic cows were not associated with hyperglycemia. Therefore, our data suggest MGO in dairy cows to be a metabolite produced from the metabolization of acetone within the lipid metabolization pathway and from the metabolization of dihydroxyacetone phosphate. Furthermore, the highly positive correlation between MGO and Hp suggests that this reactive compound might be involved in the proinflammatory state of subclinical ketosis in dairy cows. However, more research is needed to determine the potential use of MGO as a biomarker for metabolic failure in dairy cows.