A simplified predictive model for the compression behavior of self-healing microcapsules using an empirical coefficient

IF 3.1 Q2 MATERIALS SCIENCE, COMPOSITES
Jaeho Cha and Sungho Yoon
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引用次数: 0

Abstract

This study is dedicated to predicting the compression behavior of microcapsules, a key aspect in self-healing applications. Understanding the compression behavior of microcapsules, mainly due to their liquid cores, is a complex task. Equally challenging is the evaluation of the shell properties. We aimed to streamline this prediction process by introducing the empirical coefficient Ccore, which accounts for core influence. We conducted experiments on microcapsules with MUF (Melamine–Urea–Formaldehyde) shells, compressing them between two plates and recording their responses to load and displacement. The empirical coefficient, influenced by capsule size, shell properties, and core volume fraction, was then analyzed in terms of microcapsule size and Young’s modulus. The research results showed that as the diameter of microcapsule and Young’s modulus of the shell increased, the Ccore also increased. This relationship could be represented in a three-dimensional surface. These findings could significantly contribute to estimating shell properties and modeling matrices with dispersed microcapsules.
使用经验系数的自愈合微胶囊压缩行为简化预测模型
本研究致力于预测微胶囊的压缩行为,这是自愈应用中的一个关键方面。了解微胶囊的压缩行为是一项复杂的任务,这主要是由于微胶囊的液态内核造成的。同样具有挑战性的还有外壳特性的评估。我们旨在通过引入经验系数 Ccore 来简化这一预测过程,该系数考虑了内核的影响。我们对带有 MUF(三聚氰胺-尿素-甲醛)外壳的微胶囊进行了实验,将它们压缩在两块板之间,并记录它们对载荷和位移的响应。然后根据微胶囊的尺寸和杨氏模量分析了受胶囊尺寸、外壳特性和内核体积分数影响的经验系数。研究结果表明,随着微胶囊直径和外壳杨氏模量的增大,核心系数也随之增大。这种关系可以用三维曲面来表示。这些发现将大大有助于估计壳的特性和对含有分散微胶囊的基质进行建模。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Functional Composites and Structures
Functional Composites and Structures Materials Science-Materials Science (miscellaneous)
CiteScore
4.80
自引率
10.70%
发文量
33
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