Work

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.
Language: English
Open Access status: gold
Estimated APC paid: $2,590
OpenAlex ID: W4417484382
FWCI: 0.208
Cites: 24
Cited by: 1
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