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

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 C core , 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 C core 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.

Authors

Institutions

Publication Details

Journal
Functional Composites and Structures
Published
2024-08-21
DOI
https://doi.org/10.1088/2631-6331/ad7225
Primary Topic
Polymer composites and self-healing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Sung Ho Yoon, Jaeho Cha
Functional Composites and Structures
Polymer composites and self-healing
article

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

Sung Ho Yoon, Jaeho Cha
article en

Abstract

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 C core , 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 C core 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.

Functional Composites and StructuresVol. 6(3)
Kumoh National Institute of Technology (KR)
Openalex Percentile: Top 90%
Polymer composites and self-healing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A simplified predictive model for the compression behavior of self-healing microcapsules using an empirical coefficient — Sung Ho Yoon, Jaeho Cha · Functional Composites and Structures (2024) | TGRS Research Map | TGRS