Monitorization of Cleaning Processes from Digital Video Spatiotemporal Analysis: Cleaning Kinetics from Characteristic Times

The cleaning process kinetics of metallic surfaces has been studied by means of digital video monitoring. Two theoretical models based on experimental observations are proposed for two possible cleaning kinetics mechanisms and two practical cases that can be adapted to these models are analyzed. As a kinetic parameter, the duration of the cleaning of a metallic surface is defined from the time evolution of the color intensities and their variance. These times allow us to characterize and to optimize the cleaning process procedure. Apparent activation energies are estimated from the characteristic times at different temperatures.

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Journal
Applied Sciences
Published
2025-03-28
DOI
https://doi.org/10.3390/app15073745
Primary Topic
Surface Roughness and Optical Measurements
Type
article
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article

Monitorization of Cleaning Processes from Digital Video Spatiotemporal Analysis: Cleaning Kinetics from Characteristic Times

José Juan García-Jareño, Fernando Lorenzo, Jerónimo Agrisuelas, Francisco Vicente et al.
Applied Sciences
Surface Roughness and Optical Measurements
article

Monitorization of Cleaning Processes from Digital Video Spatiotemporal Analysis: Cleaning Kinetics from Characteristic Times

José Juan García-Jareño, Fernando Lorenzo, Jerónimo Agrisuelas, Francisco Vicente, Celia Gil López
article en

Abstract

The cleaning process kinetics of metallic surfaces has been studied by means of digital video monitoring. Two theoretical models based on experimental observations are proposed for two possible cleaning kinetics mechanisms and two practical cases that can be adapted to these models are analyzed. As a kinetic parameter, the duration of the cleaning of a metallic surface is defined from the time evolution of the color intensities and their variance. These times allow us to characterize and to optimize the cleaning process procedure. Apparent activation energies are estimated from the characteristic times at different temperatures.

Applied SciencesVol. 15(7)
Universitat de València (ES)
Openalex Percentile: Top 93%
Surface Roughness and Optical Measurements
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Monitorization of Cleaning Processes from Digital Video Spatiotemporal Analysis: Cleaning Kinetics from Characteristic Times — José Juan García-Jareño, Fernando Lorenzo, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS