UV固化无溶剂型丙烯酸酯压敏胶的合成与性能表征

以丙烯酸异辛酯(2-EHA)、丙烯酸丁酯(BA)、甲基丙烯酸甲酯(MMA)和四氢化糠基丙烯酸酯(THFA)为主要单体,以丙烯酸(AA)和N,N-二甲基丙烯酰胺(DMAA)为功能性单体,以4-丙烯酰氧基二苯甲酮(ABP)为光引发剂,以十二烷基硫醇(NDM)为链转移剂,通过本体聚合法制备了UV固化无溶剂型丙烯酸酯压敏胶(PSA)。分别探讨了两种功能单体AA和DMAA用量,光引发剂ABP和链转移剂NDM用量对PSA性能的影响。结果表明,当DMAA和AA用量分别为单体总质量的10%和2%时,PSA的120℃熔融黏度适中且粘接性能较优;光引发剂ABP用于PSA体系,且用量为单体总质量的0.2%时,光固化效果最佳;当NDM用量为单体总质量的1.5%时,PSA综合性能最佳。     

PCS7在新型变压吸附提纯CO装置中的应用

着重介绍PCS7在新型变压吸附提纯CO装置中的硬、软件配置,并提出了一种新型的控制方案组态思路.     

变压吸附法分离H_2－CO_2气体混合物

采用变压吸附法进行Ｈ２－ＣＯ２气体混合物的分离研究。通过对不同吸附剂的吸附性能比较试验，选取１３ｘ分子筛为本研究体系的吸附剂。在３塔变压吸附装置上进行了变压吸附过程试验；对不同的原料气组成，在不同的吸附压力、原料气量、再生压力、再生气量以及再生时间条件下，分别测定了变压吸附的动态吸附能参数；考察了这些参数对吸附分离过程的影响；得到了一些较为实用的工艺参数。用线性推动力模型对变压吸附的全过程进行了模拟，采用正交配置法对模型求数值解，较好地预测了实验结果。     

聚砜酰胺超滤膜的凝胶过程研究

本文以聚砚酰胺为模材，Ｎ－甲基吡咯烷酮为溶剂，研究了凝胶介质的种类，浓度，温度对超滤膜结构和性能的影响。并得到相应的通量和截留率的拟合方程。     

煤基碳分子筛的制备及CH4/N2分离性能研究

以煤为原料,通过气相碳沉积法制备了CH4/N2变压吸附分离用碳分子筛,研究了苯沉积量对碳分子筛吸附性能的影响。用液氮吸附（77 K）、扫描电镜对碳分子筛孔结构及表面形貌进行了表征,结果表明：制备的碳分子筛（CMS-1）平衡分离系数大于5,比表面积SBET=251.5 m2/g,微孔孔容Vm=0.1178 mL/g,孔径主要分布在0.35~2 nm,能满足CH4/N2变压吸附分离要求。     

净化吸收塔并联PSA技术改造

中国石油辽河石化分公司10000 m3/h常规焦化干气蒸汽转化制氢装置在生产中仅能达到85%负荷,原因是净化吸收塔达不到设计,成为生产瓶颈.通过对原闲置的催化干气PSA提纯装置进行改造后与净化系统吸收塔并联,分流部分低变气,从而在保证吸收塔正常运行的情况下实现制氢装置提高生产负荷30%以上.     

Two types of a passive safety containment for a near future BWR with active and passive safety systems

The paper presents two types of a passive safety containment for a near future BWR. They are named Mark S and Mark X containment. One of their common merits is very low peak pressure at severe accidents without venting the containment atmosphere to the environment. The PCV pressure can be moderated within the design pressure. Another merit is the capability to submerge the PCV and the RPV above the core level. The third merit is robustness against external events such as a large commercial airplane crash. Both the containments have a passive cooling core catcher that has radial cooling channels. The Mark S containment is made of reinforced concrete and applicable to a large power BWR up to 1830 MWe. The Mark X containment has the steel secondary containment and can be cooled by natural circulation of outside air. It can accommodate a medium power BWR up to 1380 MWe. In both cases the plants have active and passive safety systems constituting in-depth hybrid safety (IDHS). The IDHS provides not only hardware diversity between active and passive safety systems but also more importantly diversity of the ultimate heat sinks between the atmosphere and the sea water. Although the plant concept discussed in the paper uses well-established technology, plant performance including economy is innovatively and evolutionally improved. Nothing is new in the hardware but everything is new in the performance.     

关于电力系统故障树分析中两个问题的探讨

概率安全评价（PSA）方法中故障树分析法是一种评价系统可靠性的有效方法,通过对系统建模计算分析可以加深对系统设计的理解,以及帮助找出系统设计的薄弱环节,从而在条件允许的情况下针对性地进行相应的改进与调整,为提高核电厂整体的安全性提供思路。本文主要就秦山二期扩建项目以及方家山项目中关于电力系统故障树分析中遇到的两个问题进行比较分析,从定性和定量的角度进行对比,从而得出结论。     

Determination of pesticide residues in food matrices using the QuEChERS methodology

The determination of pesticide residues in food matrices is a formidable challenge mainly because of the small quantities of analytes and large amounts of interfering substances which can be co-extracted with analytes and, in most cases, adversely affect the results of an analysis. However, safety concerns require that pesticides of the wide range of chemical properties (including acidic, basic and neutral) should be monitored. Because of the wide variety of food matrices, the sample must initially be cleaned up before final analysis. That is why the analytical chemist is faced with the need to devise new methodologies for determining such residues to be determined in a single analytical run. To accomplish the goal, QuEChERS methodology has been developed. It is a streamlined and effective extraction and cleanup approach for the analysis of diverse analyte residues in food matrices. So far, there have been achieved promising results by liquid or gas chromatography analysis, including pesticides, but also acrylamide, pharmaceuticals and veterinary drugs.     

基于LS-SVM沼气净化变压吸附过程甲烷浓度建模

由于变压吸附(PSA)过程中吸附剂的参数不易获得,对沼气净化PSA过程中产品气甲烷浓度的机理建模是比较困难的。提出了基于最小二乘支持向量机(LS-SVM)甲烷浓度的建模方法。分析比较了系统辨识、RBF神经网络与LS-SVM模型,结果表明,运用LS-SVM方法建立的模型在精度上明显优于其他两种的方法,从而验证了LS-SVM在PSA过程产品浓度建模中是有效的。