arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2201.12992cond-mat.soft

胶体悬浮液干燥特性的颗粒尺度建模

Particle-scale modeling of the drying characteristics of colloidal suspensions

Rei Tatsumi, Osamu Koike, Yukio Yamaguchi, Yoshiko Tsuji

AI总结:

本研究构建颗粒尺度模型,结合朗之万动力学模拟与渗透阻力评估,揭示颗粒间吸引性相互作用形成聚集体可抑制干燥速率下降,为预测和控制胶体悬浮液干燥特性提供途径。

摘要:

在胶体悬浮液的干燥过程中,胶体颗粒可在后退的自由表面下方形成浓缩颗粒层。随着颗粒层的增长,干燥速率可逐渐降低。我们构建了一个模型来研究颗粒间相互作用如何影响这种干燥特性。在该模型中,颗粒层的形成通过朗之万动力学模拟描述,干燥速率则根据颗粒层的渗透阻力进行评估。我们表明,当颗粒通过吸引性相互作用形成聚集体时,干燥速率的降低受到抑制。本模型将使我们能够通过胶体颗粒的特性来预测和控制干燥特性。

英文摘要:

During drying of colloidal suspensions, colloidal particles can form concentrated particle layers beneath the receding free surface. The drying rate can gradually decrease with the growth of the particle layers. We construct a model to investigate how such drying characteristics is affected by interactions between particles. In this model, the formation of the particle layers is described by Langevin dynamics simulations, and the drying rate is evaluated from the permeation resistance of the particle layers. We show that the decrease in the drying rate is suppressed when the particles form aggregates by attractive interactions. The present model would enable us to predict and control the drying characteristics through the character of colloidal particles.

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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