基于微环辅助的M-Z温度传感器

针对普通马赫-曾德尔（M-Z）滤波器为了获得良好的滤波性能需要mm量级的臂长差的问题,文章提出了一种基于微环辅助M-Z滤波原理的温度传感器,其具有μm量级的尺寸。在M-Z滤波器的一个臂上耦合一个液体微环腔,利用微流控技术将一些温敏液体注入腔内,通过分析传感器的输出光谱,可以检测到温度的变化。实验结果表明,该传感器具有良好的滤波性能及温度分辨能力,消光比>10 dB,3 dB带宽<1 nm,温度检测分辨率可达到0.1℃。此外,通过改变微环中液体的种类,可以调节传感器的温度检测范围

Effects of support pretreatment with normal C1-C5 alcohols on catalytic properties of Rh-Mn-Li/SiO2 for CO hydrogenation to C2-oxygenates

The effects of support pretreatment with normal C1-C5 alcohols on the performance of Rh-Mn-Li/SiO2 catalyst in the synthesis of C2-oxygenates from syngas have been investigated by CO hydrogenation reaction, transmission electron microscopy (TEM) and Fourier Transform infrared (FT-IR)spectroscopy.The catalysts prepared from the pretreated silica supports exhibited higher space time yields of C2-oxygenates(STYc2-oxy) and selectivities towards C2-oxygenates(Sc2-oxy)than that prepared from the untreated silica support. The enhancement in the hydrophobic properties of the pretreated silica supports would be favorable for increasing Rh dispersion and ratio of Rh+/RhO sites, therefore increasing the number of active sites,especially the active sites for CO insertion. Such variations are responsible for the improvements in the catalytic performance of the Rh-Mn-Li/SiO2 catalyst

基于光纤布拉格光栅的智能服装人体测温模型研究11

根据热量传递机理建立了智能服装中光纤布拉格光栅人体测温的热传递物理模型,对人体、空气层和服装之间的热传递进行了有限元建模和稳态热分析,确定了智能服装中光纤布拉格光栅温度场的数学模型,利用该数学模型对光纤布拉格光栅测量温度值进行了修正。在多点加权皮肤平均温度的基础上,提出了由左右胸、左右腋和后背五处皮肤温度构成的智能服装人体温度加权模型。由克拉默法则得出了智能服装人体温度加权系数:左前胸为0.0826,左腋为0.3706,右腋为0.3706,后背为0.0936,右前胸为0.0826。人体穿着智能服装的实验结果表明,基于光纤布拉格光栅的智能服装温度检测动态范围为33~42℃,人体温度测量误差为±0.2℃,可应用于人体温度的高精度监测

approachesandnatureofimprovingrhbasedcatalystperformanceforcohydrogenationtoc2oxygenates

Thermodynamic analysis results revealed that the formation of C-2-oxygenates from syngas is much more unfavorable than the formation of hydrocarbons. Therefore, the crucial and effective method to promote the C-2-oxygenate synthesis is to develop high selective catalysts. According to the mechanism of C-2-oxygenate formation, the natures and the approaches to improve the catalytic performance of the Rh-based catalyst for CO hydrogenation to C-2-oxygenates were the improvement and the balance in CO dissociation and insertion activity, the proper hydrogenation activity, and the optimal Rh size on the catalyst surface. The impregnation and reduction conditions were optimized to suppress correctly the catalytic activity of the Rh-Mn-Li-Fe/SiO2 catalyst for CO hydrogenation. Consequently, CO insertion competed favorably with hydrogenation, resulting in a maximum selectivity (91.6% In mass fraction) for C-2-oxygenates with a high yield and a much low methane selectivity (6.3% in mass fraction)

approachesandnatureofimprovingrhbasedcatalystperformanceforcohydrogenationtoc2oxygenates

Thermodynamic analysis results revealed that the formation of C-2-oxygenates from syngas is much more unfavorable than the formation of hydrocarbons. Therefore, the crucial and effective method to promote the C-2-oxygenate synthesis is to develop high selective catalysts. According to the mechanism of C-2-oxygenate formation, the natures and the approaches to improve the catalytic performance of the Rh-based catalyst for CO hydrogenation to C-2-oxygenates were the improvement and the balance in CO dissociation and insertion activity, the proper hydrogenation activity, and the optimal Rh size on the catalyst surface. The impregnation and reduction conditions were optimized to suppress correctly the catalytic activity of the Rh-Mn-Li-Fe/SiO2 catalyst for CO hydrogenation. Consequently, CO insertion competed favorably with hydrogenation, resulting in a maximum selectivity (91.6% In mass fraction) for C-2-oxygenates with a high yield and a much low methane selectivity (6.3% in mass fraction)

微乳液在制备c2含氧化合物合成催化剂中的应用

对微乳液法在制备C2含氧化合物合成催化剂中的应用做了较为详细的综述。从制得纳米粒子与载体的结合方式，主要有3种方法：微乳液同步合成法，微乳液沉积法和微乳液浸渍法。目前报道较多的是第一种方法，制得的Rh／SiO2催化剂具有较好的CO加氢生成C2含氧化合物的活性和选择性，但存在金属包埋的问题。微乳液沉积法可部分解决金属包埋问题，但金属与载体之间的化学作用力不强而导致催化剂热稳定性较差。微乳液浸渍法可以通过保持水核中金属离子在浸渍过程中处于未还原状态从而避免上述这些问题，虽然该法仅用于F-T合成催化剂的制备，但催化性能优越，产物中甲烷选择性非常低，值得尝试用于C2含氧化合物合成催化剂的制备

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel