Artie McFerrin Department of Chemical Engineering, Texas A& M University, College Station, TX 77845, USA; Texas A&M Energy Institute, Texas A&M University, College Station, TX 77845, USA.
Artie McFerrin Department of Chemical Engineering, Texas A& M University, College Station, TX 77845, USA.
J Colloid Interface Sci. 2021 Oct 15;600:550-560. doi: 10.1016/j.jcis.2021.05.032. Epub 2021 May 11.
Wormlike micelles (WLMs) formed due to the self-assembly of amphiphiles in aqueous solution have similar viscoelastic properties as polymers. Owing to this similarity, in this work, it is postulated that kinetic Monte Carlo (kMC) sampling of slip-springs dynamics, which is able to model the rheology of polymers, can also be extended to capture the relaxation dynamics of WLMs.
The proposed modeling framework considers the following relaxation mechanisms: reptation, union-scission, and constraint release. Specifically, each of these relaxation mechanisms is simulated as separate kMC events that capture the relaxation dynamics while considering the living nature of WLMs within the slip-spring framework. As a case study, the model is implemented to a system of sodium oleate and sodium chloride to predict the linear rheology and the characteristic relaxation times associated with the individual relaxation mechanisms at different pH and salt concentrations.
Linear rheology predictions were found to be in good agreement with experimental data. Furthermore, the calculated relaxation times highlighted that reptation contributed to a continuous increase in viscosity while union-scission contributed to the decrease in viscosity of WLM solutions at a higher salinity and pH. This manifests the proposed model's capability to provide insights into the key processes governing WLM's rheology.
由于两亲分子在水溶液中的自组装而形成的类似蠕虫的胶束(WLMs)具有与聚合物相似的粘弹性。由于这种相似性,在这项工作中,假设滑动弹簧动力学的动力学蒙特卡罗(kMC)采样能够模拟聚合物的流变学,也可以扩展到捕获 WLMs 的松弛动力学。
所提出的建模框架考虑了以下松弛机制:蠕动、联合-断裂和约束释放。具体来说,这些松弛机制中的每一种都被模拟为单独的 kMC 事件,这些事件在考虑到滑动弹簧框架内 WLMs 的生命性质的同时,捕捉松弛动力学。作为一个案例研究,该模型被应用于油酸钠和氯化钠系统,以预测线性流变学和与单个松弛机制相关的特征松弛时间,这些机制在不同的 pH 和盐浓度下。
线性流变学预测与实验数据吻合良好。此外,计算出的松弛时间表明,蠕动有助于连续增加粘度,而联合-断裂有助于在较高盐度和 pH 下增加 WLM 溶液的粘度降低。这表明所提出的模型能够深入了解控制 WLM 流变学的关键过程。