A field-based computer vision and corrosion sensor approach to study electrolyte dynamics in atmospheric corrosion
Year: 2025
Type: article
Abstract: Transient electrolyte films govern atmospheric corrosion but remain difficult to monitor outdoors. Here, a novel field approach integrates imaging, environmental logging, AI and real-time corrosion sensing to capture data on surface wetting, weather and electrochemical response. Across multiple wetting events, incorporating image-derived electrolyte coverage improved prediction performance over a weather-only model. The approach enables linking electrolyte geometry with corrosion sensor signals, validating mechanistic models and comparing laboratory and field wetting.
Source: npj Materials Degradation
Institutions: Vrije Universiteit Brussel, Aalto University
Language: English
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,590
Funder: Fonds Wetenschappelijk Onderzoek
OpenAlex ID: W4417484382
