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Design of a Real-Time Corrosion Detection and Quantification Protocol for Automobiles

Corrosion can compromise the integrity of the vehicle. Instead, “rust proofing” a vehicle can prolong its usable life span, reducing material waste overall and permitting greater salvageability at the end of the vehicle’s life. For rust proofing, a definitive and consistent approach for detecting co...

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Autores principales: Dhonde, Kunj, Mirhassani, Mitra, Tam, Edwin, Sawyer-Beaulieu, Susan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9104952/
https://www.ncbi.nlm.nih.gov/pubmed/35591545
http://dx.doi.org/10.3390/ma15093211
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author Dhonde, Kunj
Mirhassani, Mitra
Tam, Edwin
Sawyer-Beaulieu, Susan
author_facet Dhonde, Kunj
Mirhassani, Mitra
Tam, Edwin
Sawyer-Beaulieu, Susan
author_sort Dhonde, Kunj
collection PubMed
description Corrosion can compromise the integrity of the vehicle. Instead, “rust proofing” a vehicle can prolong its usable life span, reducing material waste overall and permitting greater salvageability at the end of the vehicle’s life. For rust proofing, a definitive and consistent approach for detecting corrosion could be beneficial. Instead, most vehicle corrosion detection and assessment is performed visually and in an ad hoc manner without following any particular guidelines. The visual examination of corrosion depends highly on the method of analyzing and interpreting the corrosion, as well as operator’s experience in assessing and applying rust proofing. As a result, any visual assessment strategy needs standardization to minimize human error. An automated method is proposed to identify and analyze surface rust and appraise its severity for vehicles. The method demonstrated is 96% effective, low-cost, and has low computational complexity. Subsequently, the method has the potential to be conveyed to different advanced devices, such as smartphones, to measure corrosion, decreasing errors and improving measurement accuracy. Low implementation cost, and high reliability of the method contributes to its ease of use in the field, and hence, advances its accessibility to automotive professionals to identify and monitor corrosion levels, without the interference of human errors.
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spelling pubmed-91049522022-05-14 Design of a Real-Time Corrosion Detection and Quantification Protocol for Automobiles Dhonde, Kunj Mirhassani, Mitra Tam, Edwin Sawyer-Beaulieu, Susan Materials (Basel) Article Corrosion can compromise the integrity of the vehicle. Instead, “rust proofing” a vehicle can prolong its usable life span, reducing material waste overall and permitting greater salvageability at the end of the vehicle’s life. For rust proofing, a definitive and consistent approach for detecting corrosion could be beneficial. Instead, most vehicle corrosion detection and assessment is performed visually and in an ad hoc manner without following any particular guidelines. The visual examination of corrosion depends highly on the method of analyzing and interpreting the corrosion, as well as operator’s experience in assessing and applying rust proofing. As a result, any visual assessment strategy needs standardization to minimize human error. An automated method is proposed to identify and analyze surface rust and appraise its severity for vehicles. The method demonstrated is 96% effective, low-cost, and has low computational complexity. Subsequently, the method has the potential to be conveyed to different advanced devices, such as smartphones, to measure corrosion, decreasing errors and improving measurement accuracy. Low implementation cost, and high reliability of the method contributes to its ease of use in the field, and hence, advances its accessibility to automotive professionals to identify and monitor corrosion levels, without the interference of human errors. MDPI 2022-04-29 /pmc/articles/PMC9104952/ /pubmed/35591545 http://dx.doi.org/10.3390/ma15093211 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Dhonde, Kunj
Mirhassani, Mitra
Tam, Edwin
Sawyer-Beaulieu, Susan
Design of a Real-Time Corrosion Detection and Quantification Protocol for Automobiles
title Design of a Real-Time Corrosion Detection and Quantification Protocol for Automobiles
title_full Design of a Real-Time Corrosion Detection and Quantification Protocol for Automobiles
title_fullStr Design of a Real-Time Corrosion Detection and Quantification Protocol for Automobiles
title_full_unstemmed Design of a Real-Time Corrosion Detection and Quantification Protocol for Automobiles
title_short Design of a Real-Time Corrosion Detection and Quantification Protocol for Automobiles
title_sort design of a real-time corrosion detection and quantification protocol for automobiles
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9104952/
https://www.ncbi.nlm.nih.gov/pubmed/35591545
http://dx.doi.org/10.3390/ma15093211
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