Sustainable Self-Healing Coatings: Optimizing Microencapsulation of Biodegradable Linseed and Hemp Seed Oils for Enhanced Corrosion Protection

Year 2024, Volume: 10 Issue: 4, 845 - 860, 31.12.2024

Merve Mocan , Nazife Bengisu Sarıkaya

https://doi.org/10.28979/jarnas.1544834

Abstract

Corrosion is one of the biggest challenges in metal surfaces, especially when scratches and impacts damage the coating. Self-healing agents in the coating ensure long-term protection, effectively shielding the metal from corrosion. However, these materials are not environmentally friendly in general. To improve sustainability, we propose encapsulating renewable and biodegradable natural drying oils (linseed and hemp seed oils) to enhance the self-healing properties of the coatings. In-situ polymerization of these urea-formaldehyde microcapsules was performed at 60 °C using different stirring rates (200, 300, and 400 rpm). The structural, morphological, and thermal analyses were carried out by using Fourier Transform Infrared Spectrometer (FTIR), Scanning Electron Microscope (SEM), and Thermogravimetric Analysis (TGA). The particle size and oil content measurements were also performed. It was observed that a 300-rpm stirring rate resulted in optimum morphology, particle size, and oil content. 10 wt% microcapsules containing pure epoxy coatings were successfully applied to metal surfaces. It was observed that coatings with microcapsules provided better surface protection compared to pure coatings, and linseed oil-loaded microcapsules outperformed hemp seed oil-loaded microcapsules. These materials hold promise for future self-healing applications that are both effective and environmentally friendly.

Keywords

Corrosion protection, self-healing, encapsulation, urea-formaldehyde microcapsules, drying oils

Project Number

TÜBİTAK 2209A Application number: 1919B012208897

Thanks

This work was supported by The Scientific and Technological Research Council of Türkiye by TÜBİTAK 2209A Project, Application number 1919B012208897. The authors thank Adem Şen for particle size, İpek Ömeroğlu for FTIR, Ahmet Nazım for SEM, and Ahmet Şenocak for TGA analyses.

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