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首页> 外文期刊>The European physical journal, E. Soft matter >Colloidal aggregation with sedimentation: concentration effects
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Colloidal aggregation with sedimentation: concentration effects

机译:胶体聚集并沉淀:浓度效应

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The results of computer models for colloidal aggregation, that consider both Brownian motion and gravitational drift experienced by the colloidal particles and clusters, are extended to include concentrations spanning three orders of magnitude. In previous publications and for a high colloidal concentration, it was obtained that the aggregation crosses over from diffusion-limited colloidal aggregation (DLCA) to another regime with a higher cluster fractal dimension and a speeding up followed by a slowing down of the aggregation rate. In the present work we show, as the concentration is decreased, that we can still cross over to a similar regime during the course of the aggregation, as long as the height of the sample is increased accordingly. Among the differences between the mentioned new regimes for a high and a low colloidal concentration, the cluster fractal dimension is higher for the high concentration case and lowers its value as the concentration is decreased, presumably reaching for low enough concentrations a fixed value above the DLCA value. It is also obtained the fractal dimension of the sediments, arising from the settling clusters that reach the bottom and continue a 2D-like diffusive motion and aggregation, on the floor of the container. For these clusters we now see two and sometimes three regimes, depending on concentration and sedimentation strength, with their corresponding fractal dimensions. The first two coming from the crossover already mentioned, that took place in the bulk of the sample before the cluster deposition, while the third arises from the two-dimensional aggregation on the floor of the container. For these bottom clusters we also obtain their dynamical behavior and aggregation rate.
机译:胶体聚集的计算机模型的结果被扩展到包括跨越三个数量级的浓度,该模型考虑了胶体颗粒和团簇经历的布朗运动和重力漂移。在以前的出版物中,对于高胶体浓度,已经获得了聚集体从扩散受限的胶体聚集体(DLCA)过渡到另一种具有更高簇分形维数并加速并随后减慢聚集速率的机制的想法。在当前的工作中,我们表明,随着浓度的降低,只要样品的高度相应增加,我们仍然可以在聚集过程中过渡到类似的方案。在上述针对高胶体浓度和低胶体浓度的新方案之间的差异中,对于高浓度情况,簇的分形维数更高,并且随着浓度的降低,簇的分形维数降低,对于足够低的浓度,大概可以达到高于DLCA的固定值值。它也获得了沉积物的分形维数,该分形维数是由到达底部并在容器的底部继续二维样扩散运动和聚集的沉降团簇引起的。对于这些团簇,我们现在根据浓度和沉降强度以及相应的分形维数看到两个,有时三个方案。前两个来自已经提到的交叉,发生在簇沉积之前的大部分样品中,而第三个来自容器底部的二维聚集。对于这些最底层的集群,我们还获得了它们的动态行为和聚集率。

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