Background
Type:

Experimental and numerical investigation on the effect of core-shell microcapsule sizes on mechanical properties of microcapsule-based polymers

Journal: Journal of Composite Materials (00219983)Year: August 2022Volume: 56Issue: Pages: 2879 - 2894
Barbaz Isfahani R.a Saber-Samandari S.
DOI:10.1177/00219983221107831Language: English

Abstract

In this study, the effect of various microcapsule sizes on the mechanical properties of microcapsule-based polymeric materials was investigated using the finite element method and validated with experimental outcomes. Specimens containing 5wt. % of microcapsules were fabricated to calculate the elastic modulus, and maximum tensile stress, and to validate numerical results. To consider the error, five tests were performed for all samples, and results were reported on average. The average errors between the numerical outcomes and experimental results were 4.74% and 5.35% for maximum tensile stress and elastic modulus, respectively. The coaxial electrospraying method was used for synthesizing microcapsules made of alginate (shell) and epoxy (core). A scanning electron microscope (SEM) was used to calculate the diameter of the capsules. To develop an empirical model for the average microcapsule diameter (AMD) and carry out the optimization process, response surface methodology (RSM) with central composite design was used. Also, analysis of variance was employed to validate the accuracy of the model. The effects of three parameters, including voltage, needle size, and the distance between the tip of the needle to the collector, on average microcapsule diameter, were investigated. The empirical model was validated by a confirmation run, and the determined error (1.93%) between the predicted and experimental results indicates the precision of the model. The numerical study indicated that microcapsule-based self-healing polymers containing smaller microcapsules tolerate higher stresses. However, the effect of the microcapsules’ size on the elastic modulus of a representative volume element was negligible. © The Author(s) 2022.


Author Keywords

coaxial electrospraying methodfinite element modelingmicrocapsule-based polymersrepresentative volume elementresponse surface methodology

Other Keywords

Elastic moduliErrorsMicrostructureNeedlesNumerical methodsScanning electron microscopySelf-healing materialsSurface propertiesTensile stressVolume measurementCoaxial electrosprayingCoaxial electrospraying methodCore-shell microcapsulesEmpirical modelExperimental investigationsMicrocapsule-based polymerMicrocapsulesNumerical investigationsRepresentative volume elementsResponse-surface methodologyFinite element method