Risk Assessment for Reducing Thermoset Waste: Predictive Modelling of Water Ageing in Epoxy Infrastructure
Thermoset composites are a fast-growing waste stream that resists conventional reusing routes. Water is the principal ageing agent for epoxy-based thermoset materials that bind high-pressure piping, wind-turbine blades and aircraft skins, yet its action is deceptively complex: a rapid, reversible plasticisation is often followed by a far slower, irreversible chemical hydrolysis. Here we bridge that gap to access a reliable diagnosis inspection. Gravimetric immersion tests (from 8 to 93 °C, up to more than a year) and in situ FTIR spectroscopy were performed on four industrial DGEBA networks (two amine-cured matrices and two anhydride-cured matrices that hydrolyse). This 2 + 2 design isolates reversible from irreversible changes and exposes the individual signatures of diffusion, specific sorption and bond scission. The data are rationalised with a compact three-contribution model that superposes Fickian diffusion through nano-voids, adsorption site saturation through hydrogen bonds and a power-law hydrolysis term sharing global Arrhenius parameters. Since the parameters retain clear physical meaning, the approach can be extrapolated to service temperatures, providing a fast, transparent tool for lifetime prediction and for separating recoverable plasticisation from permanent chemical degradation in critical epoxy infrastructure.
Authors
- Luis A. Miccio (ORCID: https://orcid.org/0000-0002-3942-1908)
- Marcela Elisabeth Penoff (ORCID: https://orcid.org/0000-0002-1250-0438)
- Guillermina Capiel
- Pablo E. Montemartini (ORCID: https://orcid.org/0000-0002-2786-6299)
Institutions
- Consejo Nacional de Investigaciones Científicas y Técnicas (AR)
- University of the Basque Country (ES)
- National University of Mar del Plata (AR)
- Instituto de Investigaciones en Ciencia y Tecnología de Materiales (AR)
Publication Details
- Journal
- Applied Sciences
- Published
- 2025-11-07
- DOI
- https://doi.org/10.3390/app152211857
- Primary Topic
- Fiber-reinforced polymer composites
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Nvidia