Viktoria Blavatska, Jaroslav Ilnytskyi and Erkki Lähderanta
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引用次数: 0
摘要
混凝-絮凝是一种广泛用于净化废水的物理化学过程,它既受相关聚合物化学细节的影响,也受其大规模构象统计的影响。本研究采用基于两种统计力学范式组合的粗粒度建模方法,涵盖了后一个方面。一种是自避让行走(SAW),它能为非甾体抗原单体的线性聚合物生成一系列构象。另一种是 NDLA 杂质(以下称为 "颗粒")的非三维扩散受限聚集(DLA)过程,该过程描述了它们以概率(p = 1 恢复标准 DLA)发生的凝结。扩散颗粒的 DLA 与它们在 SAW 单体上发生的不可逆吸附(概率等于 1)相辅相成,这两个过程都会形成 DLA-SAW 聚集体。这种团聚体的形成动力学及其分形尺寸和内部结构具有实际意义。我们考虑了一系列相关特征,如(i) SAW 的绝对 Na 吸附效率和相对 Na 吸附效率;(ii) DLA-SAW 团聚体的有效回转半径;以及 (iii) 这些团聚体的分形尺寸。这些都是在一组......参数中每个参数的宽范围内进行研究的。
Coagulation-flocculation process on a lattice: Monte Carlo simulations
Coagulation-flocculation, the physicochemical process widely used for purification a wastewater, is affected both by chemical details of involved polymers and by the statistics of their conformations on a large scale. The latter aspect is covered in this study by employing a coarse-grained modeling approach based on a combination of two paradigms of statistical mechanics. One is the self-avoiding walk (SAW) which generates a range of conformations for a linear polymer of NSAW monomers. Another one is a non-trivial diffusion limited aggregation (DLA) process of NDLA impurities (referred thereafter as ‘particles’) which describes their coagulation occurring with the probability (p = 1 recovers a standard DLA). DLA of diffusive particles is complemented by their irreversible adsorption on the SAW monomers occurring with the probability equal to one, both processes resulting in formation of the DLA-SAW agglomerates. The dynamics of formation of such agglomerates, as well as their fractal dimensions and internal structure are of practical interest. We consider a range of related characteristics, such as: (i) absolute Na and relative na adsorbing efficiencies of SAW; (ii) effective gyration radius of the DLA-SAW agglomerates; and (iii) the fractal dimension of these aggregates. These are studied within a wide range for each parameter from a set .
期刊介绍:
Publishing 50 issues a year, Journal of Physics A: Mathematical and Theoretical is a major journal of theoretical physics reporting research on the mathematical structures that describe fundamental processes of the physical world and on the analytical, computational and numerical methods for exploring these structures.