Corrosion and environmental sensor response delays during monitored multi-droplet wetting: Unraveling time lags in atmospheric corrosion

Vincent Vangrunderbeek; Keer Zhang; Leonardo Bertolucci Coelho; Fritz Friedersdorf; Rebecca Marshall; Yaiza Gonzalez-Garcia; Mats Meeusen; Annick Hubin; Herman Terryn; Mesfin Haile Mamme

doi:10.1016/j.corsci.2025.113154

Corrosion and environmental sensor response delays during monitored multi-droplet wetting: Unraveling time lags in atmospheric corrosion

Vincent Vangrunderbeek^*, Keer Zhang, Leonardo Bertolucci Coelho, Fritz Friedersdorf, Rebecca Marshall, Yaiza Gonzalez-Garcia, Mats Meeusen, Annick Hubin, Herman Terryn, Mesfin Haile Mamme

^*Corresponding author for this work

Team Yaiza Gonzalez Garcia

Research output: Contribution to journal › Article › Scientific › peer-review

Abstract

This study investigates time lags between environmental changes, electrolyte formation, and atmospheric corrosion sensor responses under controlled multi-droplet wetting. A commercial corrosion and environmental sensor was combined with in-situ microscopy, and an Artificial Intelligence (AI)-based segmentation approach was applied to track droplet growth. A cross-correlation analysis identified and quantified time lags between Surface Relative Humidity (SRH), droplet radius, and sensor responses based on Interdigitated Electrodes (IDE) measuring conductance, galvanic corrosion, and free corrosion. This approach ultimately aids in understanding how environmental fluctuations affect the dynamic behaviour of the electrolyte layer and, in turn, influence atmospheric corrosion sensor responses.

Original language	English
Article number	113154
Number of pages	10
Journal	Corrosion Science
Volume	255
DOIs	https://doi.org/10.1016/j.corsci.2025.113154
Publication status	Published - 2025

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/publishing/publisher-deals
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Atmospheric corrosion sensors
Data-driven
Image segmentation
In-situ microscopy
Surface, relative humidity
Time lags

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.corsci.2025.113154

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Vangrunderbeek, V., Zhang, K., Coelho, L. B., Friedersdorf, F., Marshall, R., Gonzalez-Garcia, Y., Meeusen, M., Hubin, A., Terryn, H., & Mamme, M. H. (2025). Corrosion and environmental sensor response delays during monitored multi-droplet wetting: Unraveling time lags in atmospheric corrosion. Corrosion Science, 255, Article 113154. https://doi.org/10.1016/j.corsci.2025.113154

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abstract = "This study investigates time lags between environmental changes, electrolyte formation, and atmospheric corrosion sensor responses under controlled multi-droplet wetting. A commercial corrosion and environmental sensor was combined with in-situ microscopy, and an Artificial Intelligence (AI)-based segmentation approach was applied to track droplet growth. A cross-correlation analysis identified and quantified time lags between Surface Relative Humidity (SRH), droplet radius, and sensor responses based on Interdigitated Electrodes (IDE) measuring conductance, galvanic corrosion, and free corrosion. This approach ultimately aids in understanding how environmental fluctuations affect the dynamic behaviour of the electrolyte layer and, in turn, influence atmospheric corrosion sensor responses.",

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author = "Vincent Vangrunderbeek and Keer Zhang and Coelho, {Leonardo Bertolucci} and Fritz Friedersdorf and Rebecca Marshall and Yaiza Gonzalez-Garcia and Mats Meeusen and Annick Hubin and Herman Terryn and Mamme, {Mesfin Haile}",

note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/publishing/publisher-deals Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.",

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doi = "10.1016/j.corsci.2025.113154",

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AU - Zhang, Keer

AU - Coelho, Leonardo Bertolucci

AU - Friedersdorf, Fritz

AU - Marshall, Rebecca

AU - Gonzalez-Garcia, Yaiza

AU - Meeusen, Mats

AU - Hubin, Annick

AU - Terryn, Herman

AU - Mamme, Mesfin Haile

N1 - Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/publishing/publisher-deals Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2025

Y1 - 2025

N2 - This study investigates time lags between environmental changes, electrolyte formation, and atmospheric corrosion sensor responses under controlled multi-droplet wetting. A commercial corrosion and environmental sensor was combined with in-situ microscopy, and an Artificial Intelligence (AI)-based segmentation approach was applied to track droplet growth. A cross-correlation analysis identified and quantified time lags between Surface Relative Humidity (SRH), droplet radius, and sensor responses based on Interdigitated Electrodes (IDE) measuring conductance, galvanic corrosion, and free corrosion. This approach ultimately aids in understanding how environmental fluctuations affect the dynamic behaviour of the electrolyte layer and, in turn, influence atmospheric corrosion sensor responses.

AB - This study investigates time lags between environmental changes, electrolyte formation, and atmospheric corrosion sensor responses under controlled multi-droplet wetting. A commercial corrosion and environmental sensor was combined with in-situ microscopy, and an Artificial Intelligence (AI)-based segmentation approach was applied to track droplet growth. A cross-correlation analysis identified and quantified time lags between Surface Relative Humidity (SRH), droplet radius, and sensor responses based on Interdigitated Electrodes (IDE) measuring conductance, galvanic corrosion, and free corrosion. This approach ultimately aids in understanding how environmental fluctuations affect the dynamic behaviour of the electrolyte layer and, in turn, influence atmospheric corrosion sensor responses.

KW - Atmospheric corrosion sensors

KW - Data-driven

KW - Image segmentation

KW - In-situ microscopy

KW - Surface, relative humidity

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VL - 255

JO - Corrosion Science

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M1 - 113154

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Corrosion and environmental sensor response delays during monitored multi-droplet wetting: Unraveling time lags in atmospheric corrosion

Abstract

Bibliographical note

Keywords

UN SDGs

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