Smart coating with pH-responsive micro-capsules containing corrosion inhibitors for anti-corrosion of AZ31 magnesium alloys

The widespread use of AZ31 magnesium (Mg) alloys in automotive, aerospace, and biomedical applications is often hindered by their high susceptibility to corrosion. In this study, a novel pH-responsive smart coating was developed, integrating multilayer microcapsules containing benzotriazole (BTA) as a corrosion inhibitor and linseed oil (LO) as a self-healing agent to enhance the corrosion resistance of Mg alloys. The BTA in the shell provides immediate corrosion protection by forming a passive barrier layer under acidic or alkaline conditions. At the same time, the LO in the core offers sustained self-healing by sealing defects over time. Dual-functional poly(urea-formaldehyde) (PUF) microcapsules were synthesized via in-situ polymerization, incorporating BTA within a chitosan-alginate multilayer shell and LO in the core. The controlled release behaviour of BTA was analysed in acidic (pH 4) and alkaline (pH 10) conditions, revealing an enhanced release profile in acidic environments, which facilitates targeted corrosion inhibition. The structural and chemical properties of the microcapsules were characterized using FTIR, UV-Vis spectroscopy, SEM-EDX, and optical microscopy. The corrosion protection performance of the smart coating was evaluated on AZ31 Mg alloy substrates using electrochemical impedance spectroscopy. The results confirmed that the smart coating significantly improved the corrosion resistance of the AZ31 Mg alloy, with film resistance (Rfilm) values of 7.211 × 10⁴ Ω·cm² at pH 4 and 7.964 × 10⁴ Ω·cm² at pH 10. These values are higher than those of the epoxy-coated and uncoated AZ31 Mg alloy, indicating the formation of strong passive layers that impede electrolyte penetration. The increased Rfilm shows the effectiveness of coating in enhancing corrosion inhibition and self-healing capabilities under both acidic and alkaline conditions. Overall, this study demonstrates that utilizing biodegradable, pH-responsive multilayer microcapsules is a promising and environmentally friendly approach to protecting magnesium alloys from corrosion. These results suggest that this smart coating could be a practical and environmentally friendly solution for protecting lightweight metals, particularly in vehicles and similar applications.

Authors

Institutions

Publication Details

Journal
JOURNAL OF MECHANICAL ENGINEERING AND SCIENCES
Published
2025-06-30
DOI
https://doi.org/10.15282/jmes.19.2.2025.3.0831
Citations
1
Primary Topic
Material Properties and Applications
Type
article
Field-Weighted Citation Impact
2.93
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smart coating with pH-responsive micro-capsules containing corrosion inhibitors for anti-corrosion of AZ31 magnesium alloys

J. Alias, Nasrul Azuan Alang, Ahmad Omar, N. S. Mohamed
1 citations
JOURNAL OF MECHANICAL ENGINEERING AND SCIENCES
Material Properties and Applications
2.93
article

Smart coating with pH-responsive micro-capsules containing corrosion inhibitors for anti-corrosion of AZ31 magnesium alloys

J. Alias, Nasrul Azuan Alang, Ahmad Omar, N. S. Mohamed
article en
1 citations

Abstract

The widespread use of AZ31 magnesium (Mg) alloys in automotive, aerospace, and biomedical applications is often hindered by their high susceptibility to corrosion. In this study, a novel pH-responsive smart coating was developed, integrating multilayer microcapsules containing benzotriazole (BTA) as a corrosion inhibitor and linseed oil (LO) as a self-healing agent to enhance the corrosion resistance of Mg alloys. The BTA in the shell provides immediate corrosion protection by forming a passive barrier layer under acidic or alkaline conditions. At the same time, the LO in the core offers sustained self-healing by sealing defects over time. Dual-functional poly(urea-formaldehyde) (PUF) microcapsules were synthesized via in-situ polymerization, incorporating BTA within a chitosan-alginate multilayer shell and LO in the core. The controlled release behaviour of BTA was analysed in acidic (pH 4) and alkaline (pH 10) conditions, revealing an enhanced release profile in acidic environments, which facilitates targeted corrosion inhibition. The structural and chemical properties of the microcapsules were characterized using FTIR, UV-Vis spectroscopy, SEM-EDX, and optical microscopy. The corrosion protection performance of the smart coating was evaluated on AZ31 Mg alloy substrates using electrochemical impedance spectroscopy. The results confirmed that the smart coating significantly improved the corrosion resistance of the AZ31 Mg alloy, with film resistance (Rfilm) values of 7.211 × 10⁴ Ω·cm² at pH 4 and 7.964 × 10⁴ Ω·cm² at pH 10. These values are higher than those of the epoxy-coated and uncoated AZ31 Mg alloy, indicating the formation of strong passive layers that impede electrolyte penetration. The increased Rfilm shows the effectiveness of coating in enhancing corrosion inhibition and self-healing capabilities under both acidic and alkaline conditions. Overall, this study demonstrates that utilizing biodegradable, pH-responsive multilayer microcapsules is a promising and environmentally friendly approach to protecting magnesium alloys from corrosion. These results suggest that this smart coating could be a practical and environmentally friendly solution for protecting lightweight metals, particularly in vehicles and similar applications.

JOURNAL OF MECHANICAL ENGINEERING AND SCIENCES
Universiti Malaysia Pahang Al-Sultan Abdullah (MY), Universiti Sains Malaysia (MY)
Openalex Percentile: Top 8%
Material Properties and Applications
2.93
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.