In Situ Monitoring of Pitting Corrosion on Stainless Steel with Digital Holographic Surface Imaging

Yuan, Boyu; Li, Zhenhui; Shen, Tong; Li, Liang; Wang, Chao

doi:10.1149/2.0061911jes

Cited by 11 publications

(4 citation statements)

References 35 publications

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“…Therefore, the early steps remain difficult to predict and observe experimentally at the micrometer scale. For instance, light reflection and absorption by the metal hinder direct observation of bacteria (see for instance refs − and references herein); alternative scanning electron microscopy has been recently proposed …”

Section: Introductionmentioning

confidence: 99%

Biocorrosion on Nanofilms Induces Rapid Bacterial Motions via Iron Dissolution

et al. 2021

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Stability and reactivity of solid metal or mineral surfaces in contact with bacteria are critical properties for development of biocorrosion protection and for understanding bacteria−solid environmental interactions. Here, we opted to work with nanosheets of iron nanolayers offering arbitrarily large and stable areas of contact that can be simply monitored by optical means. We focused our study on the sediments' bacteria, the strain Shewanella oneidensis WT MR-1, that served as models for previous research on electroactivity and iron-reduction effects. Data show that a sudden uniform corrosion appeared after an early electroactive period without specific affinities and that iron dissolution induced rapid bacterial motions. By extending the approach to mutant strains and three bacterial species, we established a correlation between corrosion onset and oxygen-depletion combined with iron reduction and demonstrated bacteria's extraordinary ability to transform their solid environments.

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Section: Introductionmentioning

confidence: 99%

Biocorrosion on Nanofilms Induces Rapid Bacterial Motions via Iron Dissolution

et al. 2021

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“…In 2019, Yuan et al studied the anodic dissolution of stainless steel in FeCl 3 solution (Yuan et al, 2019) by using DHSI technology, which was used to observe the pitting dynamic processes in situ on the surface of the electrode. Figure 4 shows the holograms and the corresponding reconstructed phase maps during the anodic dissolution of 304 SS (d ¼ 6 mm) in Video-1 in the supplemental materials further shows the pitting dynamic processes.…”

Section: Digital Holographic Surface Imagingmentioning

confidence: 99%

Review of the application of digital holography in corrosion studies

Yuan

2023

ACMM

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Purpose The purpose of this paper is to review the application of digital holography in studies of the corrosion of metallic materials. Design/methodology/approach Digital holography is used for in situ observation of the dynamic processes at the electrode | electrolyte interface and on the electrode surface during the corrosion dissolution of metallic materials. Findings Digital holography is an effect method to in situ observe the corrosion processes, and it can provide a direct experimental foundation for studying the corrosion mechanism. Originality/value Even though there are several challenges, digital holography will play a significant role in studying corrosion processes.

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“…Sarvestani [10] used vibration analysis for early detection and progression monitoring of pitting on gears with large helical transmission used in a ball-mill operation, analyzed using basic visual inspection. Boyu [11] proposed using digital holographic surface imaging to observe the electrode surface during a pitting corrosion process. This method provides visual evidence of localized dissolution on the electrode surface and offers an approach to monitoring pitting progression in real time.…”

Section: Introductionmentioning

confidence: 99%

Detection and Monitoring of Pitting Progression on Gear Tooth Flank Using Deep Learning

et al. 2022

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Gears are essential machine elements that are exposed to heavy loads. In some cases, gearboxes are critical elements since they serve as machine drivers that must operate almost every day for a more extended period, such as years or even tens of years. Any interruption due to gear failures can cause significant losses, and therefore it is necessary to have a monitoring system that will ensure proper operation. Tooth surface damage is a common occurrence in operating gears. One of the most common types of damage to teeth surfaces is pitting. It is necessary for normal gear operations to regularly determine the occurrence and span of a damaged tooth surface caused by pitting. In this paper, we propose a machine vision system as part of the inspection process for detecting pitting and monitoring its progression. The implemented inspection system uses a faster R-CNN network to identify and position pitting on a specific tooth, which enables monitoring. Prediction confidence values of pitting damage detection are between 99.5–99.9%, while prediction confidence values for teeth recognized as crucial for monitoring are between 97–99%.

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In Situ Monitoring of Pitting Corrosion on Stainless Steel with Digital Holographic Surface Imaging

Cited by 11 publications

References 35 publications

Biocorrosion on Nanofilms Induces Rapid Bacterial Motions via Iron Dissolution

Biocorrosion on Nanofilms Induces Rapid Bacterial Motions via Iron Dissolution

Review of the application of digital holography in corrosion studies

Detection and Monitoring of Pitting Progression on Gear Tooth Flank Using Deep Learning

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