具有多体效应的胶体聚团的特征

考察了多体效应（用Ｓｔｕｔｔｏｎ－Ｃｈｅｎ势，ＳＣ）对胶体聚团的影响并与双体（ＬＪ）势下的结果作了比较。研究表明，ＳＣ和ＬＪ势下簇团的性质有其相似的一面，如：随着剪应力的增加，系统里颗粒的平均势能增加，而每个簇团的颗粒数减少；在较强的剪应力场里，簇团沿剪应力方向（Ｘ轴）被明显拉长且其主轴偏离Ｘ轴等。但它们间的差异也是明显的，在剪应力下ＳＣ系统内颗粒排列得更合理，从而使得平均位能比ＬＪ系统低约１－３     

重力场和电解质浓度对胶体凝聚体分形结构的影响

运用李航等提出的新方法, 克服了DLVO理论中无法理论计算不同电解质浓度下颗粒的表面电位这一困难, 从而可以直接计算出不同电解质浓度下胶体颗粒间的位能. 同时, 还运用胶体颗粒动能的玻耳兹曼分布原理和蒙特卡罗方法来模拟胶体的运动, 并采用非弹性碰撞理论解决了碰撞后凝聚的有效概率问题. 在改进DDA模型的基础上, 成功地建立了以往的模拟中未能建立的重力场中电解质浓度与碰撞凝聚概率间的联系, 结果发现, (1)重力场作用下的凝聚体分形维数随电解质浓度变化的曲线完全不同于无重力条件下的曲线. 无重力作用下, 凝聚结构体分形维数随电解质浓度的变化比较缓慢, 曲线呈“L”形；而重力作用下的分形维数则呈明显的“S”形曲线. (2) 在重力条件下, 慢凝聚包括两个区域, 对电解质浓度不敏感区域和敏感区域. 在敏感区域存在一个电解质浓度的拐点. (3)无重力条件下,不同大小的胶体颗粒在快凝聚时的分形维数都是在1.86±0.01.当电解质浓度降低,凝聚速率变慢,分形维数增加,最大达到2.01±0.02,但不会形成重力条件下的分形维数接近3的结构体.     

超临界正己烷—甲醇溶液体系的Monte Carlo模拟：浓度对溶液构型？…

用Ｍｏｎｔｅ Ｃａｒｌｏ分子模拟方法对正己烷－甲醇溶液体系处于临界状态时微观结构随浓度变化的情况进行了研究。模拟采用随机边界条件，得到了不同浓度条件下体系各基团的径向分布函数。结果表明，在溶液临界状态，正己烷分子有较强的聚集行为，随着溶液中甲醇浓度的变大，正己烷分子的聚集程度逐渐下降；甲醇分子周围正己烷分子的分布有一个最佳的浓度范围，在甲醇浓度为２２．５％时，配位数达到最大；超临界正己烷－甲醇溶液     

稳态时剪应力作用下肢体簇团形成/破裂的机理

胶体簇团形成／破裂过程机理研究一直是胶体研究中一个十分活跃的领域．因为不同的聚团机理导致胶体不同的物理化学性质：粘度、空隙度、导电性甚至光学特性等，因而使其备受注目．当前，实验研究证明了簇团边缘的胶体颗粒和介质有着频繁的交换’‘’，特别是在受到外力的作用下，这种交换会更加激烈．计算机模拟研究证实了簇团和介质间颗粒交换的机理可以是颗粒一颗粒型的，也可以是簇团一簇团型的”、”．所谓颗粒一颗粒型机理是指（接近或完全）由单个颗粒互相结合，或单个颗粒被结合进大的簇团．在结合期间，被结合的颗粒可以在簇团边缘…     

焦化过程半焦孔隙结构时空变化规律的实验研究——孔结构的分形特征及其变化

应用分形理论的概念，结合压汞法测得的半焦孔隙结构数据，建立孔结构分形特征模型，考察了焦化过程中不同焦化温度、不同横向空间位置半焦孔隙结构分形特征及其变化规律。结果表明，孔径大于5μm 的孔不具有分形特征，孔径为20nm～5μm孔的孔隙结构具有分形特征，其分形维数为2.45～2.83，可以用分形维数定量表征孔隙结构；相同空间位置下，半焦孔结构分形维数低温时较高，随温度逐渐升高先减小，然后增大再减小；同一空间位置不同温度下分形维数的变化量较小(< 0.15)，表明温度对半焦孔隙结构复杂程度的影响不明显；相同焦化温度下，半焦中心和边缘处的孔结构分形维数大于中间部位，表明中心位置和边缘位置处的孔隙结构要比中间位置处的复杂。     

流体力学关联对胶体簇团大小的影响

用计算机模拟的方法研究了流体力学关联对胶体簇团大小的影响．研究表明,流体力学关联可使簇团尺寸大大增加,约为无流体力学关联时簇团大小的２～２０倍（在研究情况下）．把该结果与前人的研究作了对照,并解释了其中可能的原因     

拉伸断口表面分形

本工作用ＥＰＭ－８１０电子探针二次电子线扫描法，研究了４５号钢在不同回火温度条件和室温拉伸下试样断口表面的分形。结果表明，分形维数Ｄ＜１．２７９时断口沿晶断裂，１．２７９＜Ｄ＜１．８１３时，断口呈韧性断裂，分形维数Ｄ由小逐渐增大时，金相组织从回火马氏体转变成回火索氏体。     

超临界NaCl水溶液的分子动力学模拟

采用分子动力学模拟的方法对超临界NaCl水溶液的微观结构进行了研究.模拟发现在所研究超临界条件下,密度的变化比温度的变化对超临界NaCl水溶液的微观结构影响更大.温度及密度对Cl－ H2O径向分布函数的影响比对Na＋ H2O径向分布函数的影响要大.超临界条件下,各gNa＋－Cl－在0.261 nm处出现峰值,表明Na＋、Cl－之间发生了离子的缔合.超临界条件下,随温度增加,缔合作用增强；随密度增加,缔合作用减弱.本文工作为建立可适用于超临界条件下的电解质热力学模型提供了依据.     

超临界正己烷甲醇溶液体系的 Monte Carlo 模拟──浓度对溶液构型影响的考察

用ＭｏｎｔｅＣａｒｌｏ分子模拟方法对正己烷－甲醇溶液体系处于临界状态时微观结构随浓度变化的情况进行了研究。模拟采用随机边界条件，得到了不同浓度条件下体系各基团的径向分布函数。结果表明，在溶液临界状态，正己烷分子有较强的聚集行为，随着溶液中甲醇浓度的变大，正己烷分子的聚集程度逐渐下降；甲醇分子周围正己烷分子的分布有一个最佳的浓度范围，在甲醇浓度为２２．５％时，配位数达到最大；超临界正己烷－甲醇溶液中甲醇分子的作用在不同浓度条件下具有不同的特点，当甲醇浓度较低时，甲醇分子之间有氢键的作用，随着甲醇浓度的提高，甲醇分子之间氢键的作用变得越来越弱，而且分子的取向变得越来越无序。     

再生催化剂表面的变维分形表征

基于分形几何理论，以失活的催化剂化催化剂的再生为研究对象，用静态重量吸附法测定了经历不同再生阶段催化剂表面的单层饱和吸附量，计算得到了不同再段催化剂表面的分形维数，考察了其表面形貌在再生过程中的变化规律，研究结果表明，整个再生过程中，催化剂表面的分形维数在2．5－3．2之间有规律的发生变化，即从再生开始到结束，表面的分形维数由小变大，再由大变小然后趋于稳定。催化剂颗粒的电镜分析结果与实验数据一致。     

Fractal structure of asphaltene aggregates

A photographic technique coupled with image analysis was used to measure the size and fractal dimension of asphaltene aggregates formed in toluene-heptane solvent mixtures. First, asphaltene aggregates were examined in a Couette device and the fractal-like aggregate structures were quantified using boundary fractal dimension. The evolution of the floc structure with time was monitored. The relative rates of shear-induced aggregation and fragmentation/restructuring determine the steady-state floc structure. The average floc structure became more compact or more organized as the floc size distribution attained steady state. Moreover, the higher the shear rate is, the more compact the floc structure is at steady state. Second, the fractal dimensions of asphaltene aggregates were also determined in a free-settling test. The experimentally determined terminal settling velocities and characteristic lengths of the aggregates were utilized to estimate the 2D and 3D fractal dimensions. The size-density fractal dimension (D(3)) of the asphaltene aggregates was estimated to be in the range from 1.06 to 1.41. This relatively low fractal dimension suggests that the asphaltene aggregates are highly porous and very tenuous. The aggregates have a structure with extremely low space-filling capacity.     

A mimetic porous carbon model by quench molecular dynamics simulation

A mimetic porous carbon model is generated using quench molecular dynamics simulations that reproduces experimental radial distribution functions of activated carbon. The resulting structure is composed of curved and defected graphene sheets. The curvature is induced by nonhexagonal rings. The quench conditions are systematically varied and the final porous structure is scrutinized in terms of its pore size distribution, pore connectivity, and fractal dimension. It is found that the initial carbon density affects the fractal dimension but only causes a minor shift in the pore size distribution. On the other hand, the quench rate affects the pore size distribution but only causes a minor shift in the fractal dimension.     

Orthokinetic Aggregation in Two Dimensions of Monodisperse and Bidisperse Colloidal Systems

Orthokinetic aggregation of colloids trapped at the air–liquid interface was studied by direct imaging in a couette cell. This method allowed us to follow the temporal evolution of both the cluster-mass distribution and the cluster structure at a shear rate where Brownian aggregation is suppressed. The interactions between the monodisperse latex particles floating at the air–liquid interface were controlled either by varying the electrolyte concentration or by creating a bidisperse system through the addition of small particles. The results show that the clusters in all of the systems are characterized by a high fractal dimension, indicating that the clusters are rearranged and densified by the shear. Kinetic analysis suggests that aggregation of monodisperse systems mainly proceeds through homogeneous aggregation, i.e., large clusters sticking to other large clusters. The bidisperse system, finally, with a size ratio around 10, favored a more heterogeneous aggregation among small and large clusters throughout the aggregation process; a slightly lower fractal dimension was observed compared to the strongly aggregated monodisperse system.     

Breakage rate of colloidal aggregates in shear flow through stokesian dynamics

We study the first breakage event of colloidal aggregates exposed to shear flow by detailed numerical analysis of the process. We have formulated a model, which uses stokesian dynamics to estimate the hydrodynamic interactions among the particles in a cluster, van der Waals interactions and Born repulsion to describe the normal interparticle interactions, and the tangential interactions through discrete element method to account for contact forces. Fractal clusters composed of monodisperse spherical particles were generated using different Monte Carlo methods, covering a wide range of cluster masses (N(sphere) = 30-215) and fractal dimensions (d(f) = 1.8-3.0). The breakup process of these clusters was quantified for various flow magnitudes (γ), under both simple shear and extensional flow conditions, in terms of breakage rate constant (K(B)), mass distribution of the produced fragments (FMD, f(m,k)), and critical stable aggregate mass (N(c)), defined as the largest cluster mass that does not break under defined flow conditions. The breakage rate K(B) showed a power law dependence on the product of the aggregate size and the applied stress, with values of the corresponding exponents depending only on the aggregate fractal dimension and the type of flow field, whereas the prefactor of the power law relation also depends on the size of the primary particles comprising a cluster. The FMD was fitted by Schultz-Zimm distribution, and the parameter values showed an analogous dependence on the product of the aggregate size and the applied stress similar to the rate constant. Finally, a power law relation between the applied stress and corresponding largest stable aggregate mass was found, with an exponent value depending on the aggregate fractal dimension. This unique and detailed analysis of the breakage process can be directly utilized to formulate a breakage kernel used in solving population balance equations.     

Evidence of Shear Rate Dependence on Restructuring and Breakup of Latex Aggregates

Small-angle static light scattering has been used to probe the evolution of aggregate size and structure in the shear-induced aggregation of latex particles. The size of aggregates obtained from the particle-sizing instrument (Coulter LS230) was compared with the size of those obtained with another approach utilizing the Guinier equation on the scattering data. Comparison of the two methods for studying the effects of mixing on the evolution of the aggregate size with time revealed similar trends. The aggregate structures were quantified in terms of their fractal dimensions on the grounds of the validity of Rayleigh-Gans-Debye scattering theory for the fractal aggregates. Analysis of the scattering patterns of aggregates verified that restructuring of the aggregates occurred as the aggregates were exposed to certain shear environments, resulting in a scale-dependent structure that could not be quantified by a fractal dimension. The effect of restructuring on aggregate size was particularly noticeable when the aggregates were exposed to average shear rates of 40 to 80 s(-1), whereas no significant restructuring occurred at lower shear rates. At 100 s(-1), the fragmentation of aggregates appeared to be more significant than aggregate compac-tion. Copyright 2001 Academic Press.     

Internal structure of dendrimers in the melt under shear: a molecular dynamics study

The molecular structure of fluids composed of dendrimers of different generations is studied using nonequilibrium molecular dynamics (NEMD). NEMD results for dendrimer melts undergoing planar Couette flow are reported and analyzed with particular attention paid to the shear-induced changes in the internal structure of dendrimers. The radii of gyration, pair distribution functions and the fractal dimensionality of the dendrimers are determined at different strain rates. The location of the terminal groups is analyzed and found to be uniformly distributed throughout the space occupied by the molecules. The fractal dimension as a function of strain rate displays crossover behavior analogous to the Newtonian/non-Newtonian transition of shear viscosity.     

Driven Brownian coagulation of polymers

We present an analysis of the mean-field kinetics of Brownian coagulation of droplets and polymers driven by input of monomers which aims to characterize the long time behavior of the cluster size distribution as a function of the inverse fractal dimension, a, of the aggregates. We find that two types of long time behavior are possible. For 0≤a<1/2 the size distribution reaches a stationary state with a power law distribution of cluster sizes having exponent 3/2. The amplitude of this stationary state is determined exactly as a function of a. For 1/2相似文献   

磨盘碾磨聚丙烯粒度分布与接枝率的研究

用分形几何方法研究了磨盘碾磨中聚丙烯 (PP)的粉碎和固相力化学接枝 .用粒度分析仪测定经磨盘碾磨聚丙烯的粒度分布 ,用分形理论处理实验数据 .结果表明 ,PP粒度分布存在无标度区 ,具有线性分形特征 ,磨盘碾磨对PP粒子分形行为有较大影响 ,聚丙烯粒度分布的分维值随碾磨次数的增加而增大 .磨盘碾磨中聚丙烯固相力化学接枝的实验结果表明 ,N 羟甲基丙烯酰胺在聚丙烯表面上的接枝率亦随碾磨次数增加而增加 ,即与聚丙烯粒度分布的分维值相关 .因此 ,可用分数维定量描述聚丙烯粒子在磨盘碾磨中的粉碎规律 ,揭示了N 羟甲基丙烯酰胺在聚丙烯表面固相力化学接枝反应的本质 .     

Analysis of the structure of very large bacterial aggregates by small-angle multiple light scattering and confocal image analysis

This work aims at developing a more accurate measurement of the physical parameters of fractal dimension and the size distribution of large fractal aggregates by small-angle light scattering. The theory of multiple scattering has been of particular interest in the case of fractal aggregates for which Rayleigh theory is no longer valid. The introduction of multiple scattering theory into the interpretation of scattering by large bacterial aggregates has been used to calculate the fractal dimension and size distribution. The fractal dimension is calculated from the form factor F(q) at large scattering angles. At large angles the fractal dimension can also be computed by considering only the influence of the very local environment on the optical contrast around a subunit. The fractal dimensions of E. coli strains flocculated with two different cationic polymers have been computed by two techniques: static light scattering and confocal image analysis. The fractal dimensions calculated with both techniques at different flocculation times are very similar: between 1.90 and 2.19. The comparison between two completely independent techniques confirms the theoretical approach of multiple scattering of large flocs using the Mie theory. Size distributions have been calculated from light-scattering data taking into account the linear independence of the structure factor S(q) relative to each size class and using the fractal dimension measured from F(q) in the large-angle range or from confocal image analysis. The results are very different from calculations made using hard-sphere particle models. The size distribution is displaced toward the larger sizes when multiple scattering is considered. Using this new approach to the analysis of very large fractal aggregates by static light multiple scattering, the fractal dimension and size distribution can be calculated using two independent parts of the scattering curve.