Kinetics model of crystal nucleation and growth in supercooled water for designing ice-templating soft matter scaffold

IF 5.4 1区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY GIANT Pub Date : 2024-04-10 DOI:10.1016/j.giant.2024.100265
Peizhao Li , Haibao Lu , Wenge Chen , Wei Min Huang , Yong-Qing Fu
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Abstract

Ice-templating technology has recently attracted extensive attention to achieve programed structure-property relationships in porous soft matter scaffolds. However, there is a huge gap existed between theoretical understanding and practical applications of nucleation kinetics and growth of ice crystals in supercooled water. This paper establishes a nucleation kinetics model of crystal growth in supercooled water, for designing ice-templating soft matter scaffolds with programmable structure-property relationship. A phase transition model was firstly formulated to characterize liquid-liquid phase transition of supercooled water, based on a two-state model and free-volume theory. Effects of diffusion coefficient and density of the supercooled water on ice nucleation kinetics and crystal growth were investigated, based on the classic nucleation theory. Analytical results showed excellent agreement with experimental data, with correlation indices of R2=90.7 % for diffusion coefficients and R2=94.0 % for densities, respectively. The model predicted a nucleation rate of 31.7 m−3∙s−1 at 200 K and peak nucleation rate and crystal growth rates appearing at 183 K and 227 K. Constitutive relationships among mechanical behaviors, ice nucleus radius, nucleation ratio, and crystallization growth rate, were developed for the ice-templating scaffolds, based on the affine model theory and verified with finite element analysis results (R2= 99.9 %) and experimental results (R2 = 95.8 %). Finally, the prediction results using the proposed model were further verified using the experimental data reported in the literature. This study provides a new methodology to describe the nucleation kinetics and growth of ice crystals in supercooled water and programmable structure-property relationships in ice-templating soft matter scaffolds.

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超冷水中晶体成核与生长动力学模型,用于设计冰模板软物质支架
近来,为在多孔软物质支架中实现程序化的结构-性能关系,制冰技术引起了广泛关注。然而,对过冷水中冰晶成核动力学和生长的理论理解与实际应用之间存在巨大差距。本文建立了过冷水中晶体生长的成核动力学模型,用于设计具有可编程结构-性能关系的冰模板软物质支架。首先,基于双态模型和自由体积理论,建立了一个相变模型来表征过冷水中的液-液相变。基于经典的成核理论,研究了过冷水的扩散系数和密度对冰成核动力学和晶体生长的影响。分析结果与实验数据非常吻合,扩散系数的相关指数 R2=90.7 %,密度的相关指数 R2=94.0 %。该模型预测了 200 K 时 31.7 m-3∙s-1 的成核率,以及 183 K 和 227 K 时出现的峰值成核率和晶体增长率。基于仿射模型理论,建立了冰模板机械行为、冰核半径、成核率和结晶增长率之间的构成关系,并与有限元分析结果(R2= 99.9 %)和实验结果(R2= 95.8 %)进行了验证。最后,利用文献中报道的实验数据进一步验证了使用所提模型得出的预测结果。这项研究提供了一种新的方法来描述过冷水中冰晶的成核动力学和生长过程,以及冰模板软物质支架中可编程的结构-性能关系。
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来源期刊
GIANT
GIANT Multiple-
CiteScore
8.50
自引率
8.60%
发文量
46
审稿时长
42 days
期刊介绍: Giant is an interdisciplinary title focusing on fundamental and applied macromolecular science spanning all chemistry, physics, biology, and materials aspects of the field in the broadest sense. Key areas covered include macromolecular chemistry, supramolecular assembly, multiscale and multifunctional materials, organic-inorganic hybrid materials, biophysics, biomimetics and surface science. Core topics range from developments in synthesis, characterisation and assembly towards creating uniformly sized precision macromolecules with tailored properties, to the design and assembly of nanostructured materials in multiple dimensions, and further to the study of smart or living designer materials with tuneable multiscale properties.
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