电爆炸箔驱动绝缘飞片的一维数值模拟

 在一维有限差分反应流体动力学程序SSS中引入电爆炸模型,在此基础上结合新引入的物态方程库,开展了电爆炸加载下飞片运动过程的数值模拟研究。计算结果与实验结果基本吻合,表明SSS对电爆炸驱动飞片的过程的模拟是可靠的,为电炮加载技术的优化设计和电爆炸驱动飞片物理过程的进一步研究提供了一套有效的计算方法和程序。     

笔迹测谎

以色列海法大学（University of Haifa）鲁利亚（Gil Luria）和罗辛布鲁姆（Sara Rosenblum）领导的研究小组最近在《应用认知心理学》（Applied Cognitive Psychology）发表文章介绍了笔迹测谎——利用计算机程序检查检测对象的笔迹特征,判断其是否撒谎。     

SAPO-34和SAPO-44分子筛上吸附甲醇的TPSR-MS研究

 采用程序升温表面反应-质谱(TPSR-MS)和程序升温脱附(TPD)技术考察了SAPO-34和SAPO-44分子筛表面的酸性与其催化甲醇转化为低碳烯烃性能的关系. 结果表明,SAPO分子筛表面存在两种活性中心,这两种活性中心与分子筛表面不同的酸性中心相对应. 表面吸附的甲醇在不同强度的酸性中心上进行不同的反应,在弱酸中心上主要进行甲醇脱水生成二甲醚的反应,在强酸中心上主要进行二甲醚进一步转化为低碳烯烃的反应. 同时,探讨了SAPO分子筛表面的酸强度对低碳烯烃生成温度的影响.     

ICP-AES测定奥里油中钒、钠和镁

应用 ICP- AES法同时测定奥里油中钒、钠、镁含量。用程序升温法灰化奥里油样品 ,引入大流量的干燥空气除去样品中水分 ,解决了传统灰化法因样品突沸引起的金属元素损失及重复性差的问题     

1-甲基-2-咪唑醛肟锰(Ⅲ)配合物的合成、晶体结构及电化学性质研究

采用溶剂扩散法制备了锰(Ⅲ)的两个单核配合物[Mn(Miao)2(H2O)2]ClO4(1)和[Mn(Miao)2(DMF)2]ClO4(2)(HMiao=1-甲基-2-咪唑醛肟,DMF=N,N-二甲基甲酰胺)的晶体.X射线衍射单晶结构表明:两种配合物均属三斜晶系,空间群Pi锰与配体形成变形的八面体结构.采用Gaussian 03W程序计算了HMiao配体的电荷密度,理论计算与实际配位形式完全吻合.测定了两种锰配合物在DMF溶液中的电化学性质,循环伏安法表明两配合物均存在较好的氧化还原性,其氧化还原峰分别为0.75和0.70V,-0.32和-0.50 V,是Mn(Ⅲ)和Mn(Ⅱ)之间的相互转化.     

超声波振动在Ce-Zr-La/Al2O3及负载型Pd三效催化剂制备中的应用

制备了CeO2-ZrO2-La2O3/Al2O3材料, 在制备过程中使用超声波振动对材料进行处理, 并以此材料为载体制备了单Pd三效催化剂. 对所制备的载体进行了织构性能分析(BET)和X射线衍射(XRD)表征. 对催化剂进行了NO程序升温脱附(NO-TPD)及H2程序升温还原(H2-TPR)表征, 并对催化剂进行了活性测试. BET结果表明, 900 ℃焙烧后, 超声波振动处理的载体比表面积为130 m2·g-1, 而没有进行处理的载体比表面积为117 m2·g-1. 超声波处理的CeO2-ZrO2-La2O3/Al2O3材料介孔直径为11.4 nm, 相对较大, 载体更加稳定. XRD测试结果表明, 超声波处理的载体在1150 ℃焙烧5 h后仍然只有Ce0.5Zr0.5O2一个单一物相, 而未经过超声波处理的载体此时出现相分离, 体相中有θ-Al2O3出现. 以超声波处理材料为载体的Pd催化剂新鲜和老化后NO-TPD测试结果变化很小. H2-TPR测试中, 超声波振动处理的材料制备的催化剂中活性组分和载体的还原峰温较未超声处理材料制备的催化剂稍高, 而峰面积远大于未超声处理材料制备的催化剂. 活性测试结果说明, 由超声波振动处理过的载体制备的三效催化剂对汽车尾气中的三种污染物的起燃温度更低, 有更好的活性以及温度特性.     

Comparison of reduction behavior of Fe2O3, ZnO and ZnFe2O4 by TPR technique

Advanced integrated gasification combined cycle (IGCC) power generation systems require the development of high-temperature,regenerable,desulfurization sorbents capable of removing hydrogen sulfide from coal gasifier gas to very low levels.As a sort of effective desufurizer,such as Fe2O3,ZnO and ZnFe2O4,it will endure strong reducing atmosphere in desulfurization process.The reduced degree of desufurizer can have an effect on its desulfurization reactivity.In this paper,Fe2O3,ZnO and ZnFe2O4 were synthesized by precipitation or co-precipitation at constant pH.After aging,washing and drying,the solids were calcined at 800℃.The reduction behaviors of sample were characterized by temperature-programmed reduction (TPR).It is found that there are two reduction peaks for Fe203 in TPR,and whereas no reduction peaks for ZnO are found.The reduction process of ZnFe2O4 prepared by co-precipitation is different from that of Fe2O3.ZnFe2O4 is easier to be reduced than Fe2O3.The activation energy of reduction process for Fe2O3 and ZnFe2O4 is obtained at different reduction periods.     

A Facile Procedure for Conjugate Addition of Amines to Electron Deficient Alkenes with Metal Oxide as Catalyst

A novel efficient procedure has been developed for the conjugate addition of amines to electron deficient alkenes. A series of metal oxides was synthesized for catalyzing the conjugate addition of amines and alkenes. After optimizing the reaction conditions, SrO was chosen as the most efficient catalyst for the reactions. The results show that the catalyst is very efficient for the conjugate addition of amines to electron deficient alkenes with the excellent yields in several minutes. Operational simplicity...     

多模微波场中玄武岩加热及内部损伤机理研究

随着微波加热技术的兴起,该技术被广泛应用于岩石破碎中.借助玄武岩研究了微波场中岩石内部温度场和应力场的分布规律,分析了岩石内部损伤机理.采用试验常用频率的工业微波炉对玄武岩试样进行微波照射,利用SEM分析微波照射前后岩石试样内部微裂纹演化规律;结合COMSOL 5.5建立岩石均匀模型分析微波场中岩石表面升温速率,建立岩...     

Local linear regression for data with AR errors

In many statistical applications, data are collected over time, and they are likely correlated. In this paper, we investigate how to incorporate the correlation information into the local linear regression. Under the assumption that the error process is an auto-regressive process, a new estimation procedure is proposed for the nonparametric regression by using local linear regression method and the profile least squares techniques. We further propose the SCAD penalized profile least squares method to determine the order of auto-regressive process. Extensive Monte Carlo simulation studies are conducted to examine the finite sample performance of the proposed procedure, and to compare the performance of the proposed procedures with the existing one. From our empirical studies, the newly proposed procedures can dramatically improve the accuracy of naive local linear regression with working-independent error structure. We illustrate the proposed methodology by an analysis of real data set.