温度跃变光散射法研究高分子共混物的亚稳极限及分相过程

引言 对高分子共混物的深入研究在于改善它们的物理性能以扩大应用的目的。大多数A和B两种聚合物共混时都是不相溶的(inmiscible)。

液-液-液三相体系的相分散与分相特性

以包含双油相和单水相的液-液-液三相体系为对象,利用编程控制的CCD照相系统,考察了搅拌槽内不同操作条件下液-液-液三相体系的相分散及分相情况．实验结果表明,桨型对三相体系的分散情况有较大影响,径流桨的分散效果优于轴流桨,下推式轴流桨优于上推式轴流桨;各相体积比的改变会导致不同的相分散形式;不同相分散形式的分相过程也不相同,实验中体系的分相过程可以分为凝并界面水平型与无规则型两种典犁情况,分别对应两种不同的相分散形式;采用分相数学模型,可成功预测凝并界面水平型分相过程中各界面的高度随时间的变化．

丙烯酰胺水溶液微液滴中聚合致分相及异形颗粒的制备

丙烯酰胺(AM)、聚乙二醇(PEG)水溶液液滴经聚合致分相可得到以聚丙烯酰胺(PAM)为核的核壳结构液滴。通过提高体系中交联剂N,N-亚甲基双丙烯酰胺(MBAM)含量,在AM水溶液液滴中也会发生聚合致分相形成核壳结构液滴。考察聚合温度、AM质量分数、MBAM质量分数、MBAM与AM质量比(m(MBAM)/m(AM))等对分相过程的影响。结果表明:在聚合温度为92℃、AM质量分数>5%、MBAM质量分数>1%、m(MBAM)/m(AM)>0.3时,均可观察到液滴经聚合致分相形成的核壳结构;通过改变形成液滴的水相与油相流速比可以调节液滴中PAM核的形状。将液滴中的核收集,通过傅里叶变换红外光谱仪(FTIR)和扫描电子显微镜(SEM)表征,证明其核为PAM,得到了蘑菇形以及其他形貌的PAM颗粒。

非溶剂水添加对PVDF超滤膜结构和性能的影响

以H2O/DMAc为共溶剂,相转化法制备了PVDF/PVP平板超滤膜,考察了非溶剂水添加量对相分离进程、膜结构参数、膜分离性能的影响规律,观察了膜的微观形貌。结果显示,随着体系中含水量由1%～5%变化时,相转化成膜固化时间缩短,膜表面孔数增多,支撑层逐渐疏松,膜断面大孔结构变化丰富,呈现不规律变化,但膜平均孔径相对稳定。含水量由0%变化至5%,膜纯水通量从850 L/(m2.h)上升到1 250 L/(m2.h),BSA截留率基本保持在85%以上,在3%时最高,5%时有所下降。

Formation and evolution characteristics of bcc phase during isothermal relaxation processes of supercooled liquid and amorphous metal Pb

The formation and evolution characteristics of bcc phase during the isothermal relaxation processes for supercooled-liquid and amorphous Pb were investigated by molecular dynamics simulation and cluster-type index method （CTIM）. It is found that during the relaxation process, the formation and evolution of bcc phase are closely dependent on the initial temperature and structure. During the simulation time scale, when the initial temperature is in the range of supercooled liquid region, the bcc phase can be formed and kept a long time; while it is in the range of glassy region, the bcc phase can be formed at first and then partially transformed into hcp phase; when it decreases to the lower one, the hcp and fcc phases can be directly transformed from the glassy structure without undergoing the metastable bcc phase. The Ostwald＇s ＂step rule＂ is impactful during the isothermal relaxation process of the supercooled and glassy Pb, and the metastable bcc phase plays an important role in the precursor of crystallization.

The MAP/PH(PH/PH)/1 Discrete-time Queuing System with Repairable Server

In this paper, we discuss a discrete time repairable queuing system with Markovian arrival process, where lifetime of server, service time and repair time of server are all discrete phase type random variables. Using the theory of matrix geometric solution, we give the steady state distribution of queue length and waiting time. In addition, the stable availability of the system is also provided.

Modulation classification of MPSK signals based on nonparametric Bayesian inference

A nonparametric Bayesian method is presented to classify the MPSK （M-ary phase shift keying） signals. The MPSK signals with unknown signal noise ratios （SNRs） are modeled as a Gaussian mixture model with unknown means and covariances in the constellation plane, and a clustering method is proposed to estimate the probability density of the MPSK signals. The method is based on the nonparametric Bayesian inference, which introduces the Dirichlet process as the prior probability of the mixture coefficient, and applies a normal inverse Wishart （NIW） distribution as the prior probability of the unknown mean and covariance. Then, according to the received signals, the parameters are adjusted by the Monte Carlo Markov chain （MCMC） random sampling algorithm. By iterations, the density estimation of the MPSK signals can be estimated. Simulation results show that the correct recognition ratio of 2/4/8PSK is greater than 95% under the condition that SNR 〉5 dB and 1 600 symbols are used in this method.

Phase Analysis and Identification Method for Multiphase Batch Processes with Partitioning Multi-way Principal Component Analysis (MPCA) Model

Multi-way principal component analysis (MPCA) is the most widely utilized multivariate statistical process control method for batch processes. Previous research on MPCA has commonly agreed that it is not a suitable method for multiphase batch process analysis. In this paper, abundant phase information is revealed by way of partitioning MPCA model, and a new phase identification method based on global dynamic information is proposed. The application to injection molding shows that it is a feasible and effective method for multiphase batch process knowledge understanding, phase division and process monitoring.

Growth-phase Classification Using Wavelets in Fermentation Processes

The wavelet transform is developed to identify the differentphases in a fermentation process. In this method, the wavelettransform modulus maxima are used to estimate the local maximumpoints of the second derivative of the growth curve in order toclassify the different phases of fermentation process. Moreover, themethod can effectively get rid of noise from the signal, making useof the different characters showed by signal and noise in the wavelettransform modulus maxima. Compared with neural network modeling, thepresented method needs less quantity of information and calculation.The results of experiments show that this method is effective.

Phase Transition Analysis Based Quality Prediction for Multi-phase Batch Processes

Batch processes are usually involved with multiple phases in the time domain and many researches on process monitoring as well as quality prediction have been done using phase information. However, few of them consider phase transitions, though they exit widely in batch processes and have non-ignorable impacts on product qualities. In the present work, a phase-based partial least squares (PLS) method utilizing transition information is proposed to give both online and offline quality predictions. First, batch processes are divided into several phases using regression parameters other than prior process knowledge. Then both steady phases and transitions which have great influences on qualities are identified as critical-to-quality phases using statistical methods. Finally, based on the analysis of different characteristics of transitions and steady phases, an integrated algorithm is developed for quality prediction. The application to an injection molding process shows the effectiveness of the proposed algorithm in comparison with the traditional MPLS method and the phase-based PLS method.

Effect of the secondary air distribution layer on separation density in a dense-phase gas–solid fluidized bed

Dry coal separation has been the most significant process in the field of coal beneficiation to date, because of its special advantage of operation with no water consumption. Mineral dry separation research has received wide attention, particularly in countries and regions experiencing drought and water shortages. During the process of dense coal gas-solid fluidized bed beneficiation, the material is stratified according to its density; the high density material layer remains at the bed bottom, and thus the high density coarse particle bed becomes an important infuencing factor in fluidized bed stability. In the steady fluidization stage, a small number of large radius bubbles are the direct cause of unsteady fluidization in the tradi- tional fluidized bed. The dispersion effect of the secondary air distribution bed for air flow is mainly apparent in the gas region; when the particle size exceeds 13 mm, the secondary air distribution bed has a synergistic effect on the density stability of the upper fluidized layer. When the particle size is small, especially when less than 6 ram, particles will constantly move, accounting for instability of the secondary air distribution bed and distorting the stability of the upper fluidized bed. Under optimum operation conditions, the probable deviation E of gas-solid separation fluidized with a high density coarse particle layer can be as low as 0.085 g/cm3.

Thermodynamic simulation of complex Pb-Bi concentrate oxidative bath smelting process

The element partitioning in a Pb-Bi concentrate oxygen-rich bath smelting process was studied using thermodynamic equilibrium simulation method. Effects of oxygen to feed ratio(OFR) and sulfur dioxide partial pressure(pSO2) on the partitionings of Bi, Pb, As, Sb, Cu and Ag were analyzed and compared with industrial data. The results suggested that the optimal OFR was between 6.3 and 6.8 kmol/t to maximize Bi, Pb, Cu and Ag partitioning in the metal phase. Further increase of OFR led to the drop of metal partitioning and increase of slag liquidus temperature. High pSO2 led to high deportment of Bi and Pb in the gas phase mainly in the form of sulfides, suggesting that a low pSO2 was conducive for reducing the dust ratio.

Effect of a combined inversion and plantarflexion surface on ankle kinematics and EMG activities in landing

Purpose： The purpose of this study was to examine the effects of landing kinematics and electromyographic （EMG） activities of medial gastrocnemius on a combined inversion and plantarflexion surface on the ankle （MG）, peroneus longus （PL）, and tibialis anterior （TA） muscles. Methods： Twelve recreational athletes performed five drop landings from an overhead bar of 30 cm height on to three surfaces： a flat surface, a 25° inversion surface, and a combined surface of 25° inversion and 25° plantarflexion. The kinematic variables and integrated EMG （IEMG） of the three muscles were assessed using a one-way repeated measures ANOVA and a 3 × 3 （surface × muscle） ANOVA, respectively （p 〈 0.05）. Results： The IEMG results showed a significant muscle by surface interaction. The flat surface induced higher TA activity than the two tilted surfaces. The inverted surface produced significantly higher inversion peak angle and velocity than the flat surface, but similar PL activity across the surfaces. The MG IEMG, ankle plantarflexion angle, and inversion range of motion were significantly higher for the combined surface compared to the inverted surface. Conclusion： These findings suggest that compared to the inversion surface, the combined plantarflexion and inversion surface seems to provide a more unstable surface condition for lateral ankle sprains during landing.

The Related Research of the Genes of Gibberellin Receptor(GID1) in Plant

The hormone gibberellin(GA) plays an important role in modulating diverse processes throughout plant development.Gibberellin(GA) perception is mediated by GID1(GA-INSENSITIVE DWARF1),a receptor that shows similarity to hormone-sensitive lipases.It has been postulated that plants have two types of GA receptors,including soluble and membrane-bound forms.In recent years,significant advances have been made in the research of Gibberellin Receptor(GID1).This article highlights recent advances in the molecular structure of Gibberellin Receptor(GID1),Molecular Interactions between the Gibberellin Receptor(GID1) with DELLA,Cloning and expression of GA receptors(GID1),function identification of GA receptor gene(GID1).These discoveries open new prospects for the understanding mechanism of GA receptors(GID1) in plants.

Separation of Oil Phase from Dilute Oil/Water Emulsion in Confined Space Apparatus

A miniature process for separating the oil phase from dilute oil/water emulsion is developed.This process applies a confined space apparatus,which is a thin flow channel made of two parallel plastic plates.The space between the two plates is rather narrow to improve the collisions between oil droplets and the plate surface.Oil droplets have an affinity for the plate surface and thus are captured,and then coalesce onto the surface.The droplet size distribution of the residual emulsion resulted from the separation process is remarkably changed.The oil layer on the plate weakens the further separation of oil droplets from the emulsion.Three types of plate materials,polypropylene(PP),polytetrafluoroethylene(PTFE) and nylon 66,were used.It is found that PP is the best in terms of the oil separation efficiency and nylon 66 is the poorest.The interaction between droplets in the emulsion and plate surface is indicated by the spreading coefficient of oil droplet on the plate in aqueous environment,and the influences of formed oil layer and plate material on the separation efficiency are discussed.

Defeating constraint based program analysis with temporal correlation function

Constraint based program analysis is widely used in program validation, program vulnerability analysis, etc. This paper proposes a temporal correlation function to protect programs from analysis. The temporal correlation function can be applied to resist against both static and dynamic function summary and eoncolie testing. What＇ s more, the temporal correlation function can produce different outputs even with same input. This feature can be used to damage the premise of function summary as well as prevent concolie testing process to run the new branch with new input. Experiment results show that this method can reduce efficiency and path coverage of concolic testing, while greatly in- creasing the difficulty of constraint based program analysis.

Necessary and Sufficient Conditions for Reactive Azeotropes in Multi-reaction Mixtures in Terms of Elemental Composition

Necessary and sufficient conditions for azeotropy in reactive mixtures are derived in terms of elemental composition, which shows that in the space of elemental compositions, they take the same functional form as the conditions for azeotropy in non-reactive mixtures. The production of methyl tert-butyl ether (MTBE) is taken as an example. It is found that there are a 'pseudo' intermediate-boiling ternary reactive azeotrope at p = 101.325kPa and two 'real' ternary reactive azeotropes at p = 101.325 Pa. The introduced elemental compositions also reduce the dimensionality of the phase diagrams and provide a natural set of variables for visualization of phase behavior.

The Relevance of Relationships in the Value Creation Process： Analysis of SCM in the Chemical-Pharmaceutical Sector

This work, through an empirical research （Jayaram, Kannan and Tan model）, aims at analysing, at the same time, the effect of ＂structural mechanisms＂ and ＂relationships building＂ factors on the value creation process in the Supply Chain. The two factors have been chosen among others, as they have been considered able to improve the internal and external processes of the firm and the Supply Chain, and in consequence, able to influence the value creation process of the Supply Chain Management. The research has been directed to the chemical and pharmaceutical sector of the Southern Lazio （Italy） and a factorial analysis, using the software SPSS （16.0） which has been performed in order to verify the influence of these factors in value creation process of the Supply Chain The outcomes confirm the positive contribute in the value creation process for companies that take care of the relationships among the stakeholders in the management process of the supply chain （the ＂relationships building＂ factor） and, in parallel with the analysis of the same process, the secondary role of the ＂structural mechanisms＂ factor has been highlighted.

Decay parameter and related properties of n-type branching processes

We consider decay properties including the decay parameter, invariant measures, invariant vectors, and quasistationary distributions for n-type Markov branching processes on the basis of the 1-type Markov branching processes and 2-type Markov branching processes. Investigating such behavior is crucial in realizing life period of branching models. In this paper, some important properties of the generating functions for n-type Markov branching q-matrix are firstly investigated in detail. The exact value of the decay parameter λC of such model is given for the communicating class C = Zn+ \ 0. It is shown that this λC can be directly obtained from the generating functions of the corresponding q-matrix. Moreover, the λC -invariant measures/vectors and quasi-distributions of such processes are deeply considered. λC -invariant measures and quasi-stationary distributions for the process on C are presented.

Synthesis of Large-Area, Few-Layer Graphene on Iron Foil by Chemical Vapor Deposition

We demonstrate a simple and controllable way to synthesize large-area, few-layer graphene on iron substrates by an optimized chemical vapor deposition （CVD） method using a mixture of methane and hydrogen. Based on an analysis of the Fe-C phase diagram, a suitable procedure for the successful synthesis of graphene on Fe surfaces was designed. An appropriate temperature and cooling process were found to be very important in the synthesis of highly crystalline few-layer graphene. Graphene-based field-effect transistor （FET） devices were fabricated using the resulting few-layer graphene, and showed good quality with extracted mobilities of 300-1150 cm2/（V.s）.