Preparation of Linseed Oil-Filled Urea–Formaldehyde Microcapsules and Anti-Corrosion Performance of Self-Healing Epoxy Coatings on Low Carbon Steel Substrate

This investigation utilised the in-situ polymerisation method to generate urea-formaldehyde (UF) microcapsules that were filled with linseed oil. Microcapsules with a mean diameter of 20-200 μm were obtained. The self-healing coating was constructed by incorporating 7.5wt. % microcapsules into an epoxy matrix and subsequently applying it to the low carbon steel substrate. The impact of microcapsules on the coating properties was examined through an immersion test in a 3.5wt. % NaCl medium for 7, 14, 21, 28, and 35 days. Weight loss and corrosion rate measurements were taken to investigate the effect of embedded microcapsules on the anticorrosive properties of the self-healing coating. Based on visual inspection, mass loss, and corrosion rate results, the complete self-healing coating demonstrated superior anticorrosive properties to the epoxy coating without microcapsules. The scratched self-healing coating's failure was investigated using scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS). Overall, the results and tests showed that the self-healing coating is more corrosion-resistant than the coating without microcapsules.

Authors

Publication Details

Journal
International Journal of Nanoelectronics and Materials (IJNeaM)
Published
2024-12-27
DOI
https://doi.org/10.58915/ijneam.v17idecember.1608
Primary Topic
Polymer composites and self-healing
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Preparation of Linseed Oil-Filled Urea–Formaldehyde Microcapsules and Anti-Corrosion Performance of Self-Healing Epoxy Coatings on Low Carbon Steel Substrate

Norhayati Dollah, Mohd Fauzi Mamat, Lailatul Harina Paijan, Mohd Faizal Md Jaafar et al.
International Journal of Nanoelectronics and Materials (IJNeaM)
Polymer composites and self-healing
article

Preparation of Linseed Oil-Filled Urea–Formaldehyde Microcapsules and Anti-Corrosion Performance of Self-Healing Epoxy Coatings on Low Carbon Steel Substrate

Norhayati Dollah, Mohd Fauzi Mamat, Lailatul Harina Paijan, Mohd Faizal Md Jaafar, Mohd Basri Ali, Mohd Hadzley Abu Bakar, Muhammad Hairy Muhdar, Mohammad Rhadhi Kamshah
article en

Abstract

This investigation utilised the in-situ polymerisation method to generate urea-formaldehyde (UF) microcapsules that were filled with linseed oil. Microcapsules with a mean diameter of 20-200 μm were obtained. The self-healing coating was constructed by incorporating 7.5wt. % microcapsules into an epoxy matrix and subsequently applying it to the low carbon steel substrate. The impact of microcapsules on the coating properties was examined through an immersion test in a 3.5wt. % NaCl medium for 7, 14, 21, 28, and 35 days. Weight loss and corrosion rate measurements were taken to investigate the effect of embedded microcapsules on the anticorrosive properties of the self-healing coating. Based on visual inspection, mass loss, and corrosion rate results, the complete self-healing coating demonstrated superior anticorrosive properties to the epoxy coating without microcapsules. The scratched self-healing coating's failure was investigated using scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS). Overall, the results and tests showed that the self-healing coating is more corrosion-resistant than the coating without microcapsules.

International Journal of Nanoelectronics and Materials (IJNeaM)Vol. 17(December)
Universiti Teknikal Malaysia Melaka
Openalex Percentile: Top 81%
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.