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arXiv 0903.0861cond-mat.mtrl-sci
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从成核到粗化的经典聚集动力学

Aggregation According to Classical Kinetics--From Nucleation to Coarsening

Yossi Farjoun, John C. Neu

摘要:

在小超饱和极限下,求解了粒子总数守恒的标准Lifshitz-Slyozov(LS)模型。新元素是一个有效的初始条件,遵循从初始耗尽的成核,如在以前的文件[Farjoun和Neu,物理学评论E 78]。有效的初始条件的特点是由一个狭窄的分布集群的大小,都远远大于临界。在随后的解决方案中,LS相似性解决方案之一出现作为长时间限制,如预期的那样。但我们的解决方案说明了更多。特别是,在通常所谓的“粗化”之前有一个“增长”时期。在“生长”过程中,团簇(都是几乎相同的大小,比临界大得多)最终耗尽了超饱和(在前一个时代,成核的耗尽只来自于超饱和的小幅下降)。这使得临界尺寸能够赶上团簇,传统的“粗化”开始了:亚临界团簇溶解并为剩余的超临界团簇的生长提供燃料。我们的分析跟踪集群的大小在增长和粗化过程中的演变,通过免费使用的渐近和数值方法。我们建立了与生长和粗化的物理参数和初始超饱和相关的特征时间和团簇大小。新出现的分布是不连续的,在最大的集群大小,我们的模型选择不连续的LS相似性解决方案的长时间限制。有强烈的迹象表明,平滑的相似性解决方案中提出的原始LS文件出现在一个,但更长的,后期粗化的时间尺度。

英文摘要:

We solve the standard Lifshitz-Slyozov (LS) model with conservation of total particles in the limit of small super-saturation. The new element is an effective initial condition that follows from the initial exhaustion of nucleation as described in a previous paper [Farjoun and Neu, Phys. Rev. E 78]. The effective initial condition is characterized by a narrow distribution of cluster-sizes, all much larger than critical. In the subsequent solution, one of the LS similarity solutions emerges as the long-time limit, as expected. But our solution tells more. In particular, there is a "growth" era prior to what is usually called "coarsening". During "growth" the clusters (all of nearly the same size much larger than critical) eventually exhaust the super-saturation (the exhaustion of nucleation in the previous era results from only a small decrease in super-saturation). This allows the critical size to catch up to the clusters, and the traditional "coarsening" begins: Subcritical clusters dissolve and fuel the growth of the remaining super-critical clusters. Our analysis tracks the evolution of cluster sizes during growth and coarsening by complimentary use of asymptotic and numerical methods. We establish characteristic times and cluster sizes associated with growth and coarsening from physical parameters and the initial super-saturation. The emerging distribution is discontinuous at the largest cluster size, and our model selects the discontinuous LS similarity solution as the long time limit. There are strong indications that the smooth similarity solution proposed in the original LS paper emerges on a, yet longer, late-coarsening time-scale.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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