机械力化学湿法一步制备表面修饰磷酸锌微粉

以氧化锌和磷酸为原料,以硅烷偶联剂为改性剂,采用机械力化学湿法制备微细磷酸锌并进行表面改性.用XRD、润湿角、活化指数、沉降时间等手段对产物进行表征,用FT-IR对改性粉末的结构进行分析,初步探讨了偶联剂与磷酸锌的作用机理.结果表明产物为二水和四水磷酸锌混合物;在红外区域2 800～3 000 cm-1和1 400 cm-1有偶联剂的特征吸收峰,说明偶联剂与磷酸锌之间发生了化学反应;当硅烷偶联剂添加质量分数由0增加到2%,改性产品的活化指数由0增加到98.71%,对水的润湿角由0°增加到93.21°,沉降时间由0.5 h增加到176 h,在涂料中的分散性和贮存稳定性得到改进.     

多孔介质内部热质传递的等效耦合扩散模型的推导及其应用

基于Whitaker的体积平均方程，在不附加任何新的假设的基础上，对多孔介质内部热质传递的等效耦合扩散模型进行推导，得出了多孔介质内部热质传递的等效耦合扩散模型。并应用该模型对瓷质砖体干燥过程进行了数值模拟，模拟结果与实验结果十分吻合。     

混杂增强聚氨酯复合硬质泡沫塑料的研制

系统介绍混杂增强聚氨酯复合硬质泡沫塑料的制备情况，详细分析聚氨酯硬质泡沫塑料制备过程中的工艺问题，表征与分析其结构与性能，着重分析偶联剂对填充物增强性能的影响以及填充物含量对聚氨酯硬质泡沫塑料吸水性能的影响，介绍聚氨酯硬质泡沫塑料的应用，最后指出其发展前景。     

EPR Study of CO Adsorption onto CoZSM-5 Zeolite: Evidence for Spin Crossover upon Coordination and |z2, 2A1〉 Ground State

Adsorption of CO onto dehydrated cobalt-exchanged ZSM-5 zeolite was studied by CW-EPR techniques. It is shown that the reversible formation of a low spin carbonyl ¹{Co(CO) _n }⁷ adduct upon addition of carbon monoxide at p _CO>50–60 Torr involves significant change in the spin state of Co²⁺ from S=3/2 to 1/2. The spin Hamiltonian parameters of the adduct g _x =2.222, g _y =2.184, g _z =2.011, |A _x |=3.8 mT, |A _y |=3.2 mT, |A _z |=7.9 mT were determined by a computer simulation and further discussed in terms of the possible ground state and molecular structure. It is shown that the ¹{Co(CO) _n }⁷ cage complex exhibits a C_2v symmetry with |z ²,²A₁ ground state.     

有机硅乳液稳定性的研究

以阳离子型乳液聚合为例，详细讨论了聚合反应因素及环境因素对环氧改性有机硅乳液稳定性的影响。结果表明：在聚合反应温度为65℃、催化剂的用量为总加料量的0．3％～0．5％、硅烷偶联剂的用量为D4质量的3％～5％、乳化剂用量为总加料量的10％、阳／非离子型乳化剂的质量比为1．5～1．8、D4与水的质量比为0．3～0．4条件下，制得的环氧改性有机硅乳液稳定性良好；采取急冷的方式中止聚合反应，并以醋酸中和至pH值为6～7，有利于环氧改性有机硅乳液稳定性的提高。     

气相色谱仪在丙基型硅烷偶联剂催化合成中的应用

通过筛选获得了最佳色谱条件，建立较为可行的丙基型硅烷偶联剂催化合成气相色谱分析方法，为实验室研究合成硅烷偶联剂探索高效催化剂提供了快速的检测方法。     

玫瑰红RB催化纤维的制备及其在交叉脱氢偶联反应中的应用

以聚丙烯腈纤维为载体,通过乙二胺接枝改性,有机光催化剂-玫瑰红RB吸附,制备了一种腈纶负载光催化纤维。在其催化N-苯基四氢异喹啉及其衍生物和硝基甲烷的交叉脱氢偶联反应中,反应温度85℃,乙二胺用量60 mL,水用量100 mL,反应时间240 min,氨基接枝量1.61 mol%时,对RB染料的吸附量可达9.2%,收率均在81%以上,并在8次循环反应后仍然保持良好的稳定性和催化活性。     

大凌河流域初始水权分配实践评价

结合大凌河流域初始水权分配实践,从分配范围、分配机制、分配原则、分配模型等方面,对现有研究成果进行全面梳理。在此基础上,结合大凌河流域特点,借鉴我国流域水资源配置评价指标体系,从公平性、效率性、可持续发展、政府宏观调控4个维度,设计了一套水权分配评价指标体系,进而构建了初始水权分配实践效果的耦合评价模型,并应用于大凌河流域。结果表明,在政府和大凌河流域水行政管理部门的宏观调控作用下,通过加强大凌河流域所在区域的政治民主协商,流域内各区域水权分配结果充分体现了与其社会经济发展之间的匹配性,且各区域之间的耦合协同发展效度均达到较高水平。     

State estimation for complex systems with randomly occurring nonlinearities and randomly missing measurements

This paper is concerned with the state estimation problem for the complex networked systems with randomly occurring nonlinearities and randomly missing measurements. The nonlinearities are included to describe the phenomena of nonlinear disturbances which exist in the network and may occur in a probabilistic way. Considering the fact that probabilistic data missing may occur in the process of information transmission, we introduce the randomly data missing into the sensor measurements. The aim of this paper is to design a state estimator to estimate the true states of the considered complex network through the available output measurements. By using a Lyapunov functional and some stochastic analysis techniques, sufficient criteria are obtained in the form of linear matrix inequalities under which the estimation error dynamics is globally asymptotically stable in the mean square. Furthermore, the state estimator gain is also obtained. Finally, a numerical example is employed to illustrate the effectiveness of the proposed state estimation conditions.     

Decomposition of timed automata for solving scheduling problems

A decomposition algorithm for scheduling problems based on timed automata (TA) model is proposed. The problem is represented as an optimal state transition problem for TA. The model comprises of the parallel composition of submodels such as jobs and resources. The procedure of the proposed methodology can be divided into two steps. The first step is to decompose the TA model into several submodels by using decomposable condition. The second step is to combine individual solution of subproblems for the decomposed submodels by the penalty function method. A feasible solution for the entire model is derived through the iterated computation of solving the subproblem for each submodel. The proposed methodology is applied to solve flowshop and jobshop scheduling problems. Computational experiments demonstrate the effectiveness of the proposed algorithm compared with a conventional TA scheduling algorithm without decomposition.