TY - JOUR
T1 - Capsule based self-healing composites
T2 - New insights on mechanical behaviour based on finite element analysis
AU - Mohonee, Vijendra Kumar
AU - Lim Goh, Kheng
AU - Mishnaevsky, Leon
AU - Pasbakhsh, Pooria
N1 - Funding Information:
We acknowledged Monash University for the partial financial support provided to VM to enable him to carry out his MEngSci project. We are grateful to an anonymous reviewer for many helpful suggestions, particularly on the damage background in relation to existing studies. KLG acknowledged Prof DWL Hukins for useful discussion on the topic of stress transfer in spherical particle reinforced composites.
Publisher Copyright:
© 2020 Elsevier B.V.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/5
Y1 - 2021/5
N2 - We have investigated the reinforcement mechanics of capsule-based self-healing composites (CSC) comprising poly(urea–formaldehyde) (PUF) capsules embedded in epoxy matrix using a micro-scale representative volume element (RVE) model. Finite element analysis was used to model four stages of loading, corresponding to elastic loading and fracture of pristine CSC (containing epoxy-filled capsules) and, following healing, of repaired CSCs (containing capsules depleted of healants), respectively. Predictions of the elastic modulus (E) during elastic loading and the local damage pattern within the CSC during fracture were obtained. The E was most sensitive to capsule volume fraction (Vp) but least sensitive to capsule distribution pattern. The E also depended on the state of the capsule. The E increased with increasing Vp in epoxy-filled capsule composite, suggesting that epoxy-filled capsules could provide reinforcement to the epoxy-based composite. However, E decreased with increasing Vp in empty capsule composites, indicating that empty capsules could not be depended upon for reinforcing the composite. When fracture began, capsules at close proximity, especially in agglomerates, could interact to promote further damage regardless of whether they were filled or empty; the damage pattern observed could be a prelude to mode 1 type fracture. These predictions led to wider implications concerning how agglomerates in the CSC could influence the mechanics of elastic loading and fracture of the composite.
AB - We have investigated the reinforcement mechanics of capsule-based self-healing composites (CSC) comprising poly(urea–formaldehyde) (PUF) capsules embedded in epoxy matrix using a micro-scale representative volume element (RVE) model. Finite element analysis was used to model four stages of loading, corresponding to elastic loading and fracture of pristine CSC (containing epoxy-filled capsules) and, following healing, of repaired CSCs (containing capsules depleted of healants), respectively. Predictions of the elastic modulus (E) during elastic loading and the local damage pattern within the CSC during fracture were obtained. The E was most sensitive to capsule volume fraction (Vp) but least sensitive to capsule distribution pattern. The E also depended on the state of the capsule. The E increased with increasing Vp in epoxy-filled capsule composite, suggesting that epoxy-filled capsules could provide reinforcement to the epoxy-based composite. However, E decreased with increasing Vp in empty capsule composites, indicating that empty capsules could not be depended upon for reinforcing the composite. When fracture began, capsules at close proximity, especially in agglomerates, could interact to promote further damage regardless of whether they were filled or empty; the damage pattern observed could be a prelude to mode 1 type fracture. These predictions led to wider implications concerning how agglomerates in the CSC could influence the mechanics of elastic loading and fracture of the composite.
KW - Agglomeration
KW - Elastic modulus
KW - Epoxy matrix
KW - Non-linear damage model
KW - Poly(urea–formaldehyde) capsule
KW - Representative volume element
UR - http://www.scopus.com/inward/record.url?scp=85100652903&partnerID=8YFLogxK
U2 - 10.1016/j.commatsci.2020.110203
DO - 10.1016/j.commatsci.2020.110203
M3 - Article
AN - SCOPUS:85100652903
SN - 0927-0256
VL - 192
JO - Computational Materials Science
JF - Computational Materials Science
M1 - 110203
ER -