3-D Surface roughness profile of 316-stainless steel using vertical scanning interferometry with a superluminescent diode

Laopornpichayanuwat, Wirun; Visessamit, Jakkapol; Tianprateep, Montian

doi:10.1016/j.measurement.2011.09.030

Cited by 12 publications

(7 citation statements)

References 11 publications

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“…In comparison, much less effort was taken so far on investigations of reflective (i.e., metallic) surfaces, although there are for example analyses of surfaces resulting from various processing techniques [34,35]. Yet, this capability of OCT to generate topographic, volumetric reconstructions of a sample surface allows for obtaining its height profile, while optical microscopy or SEM cannot achieve this; this is essential for assessing the fracture type and its characteristics.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Ductile, Brittle, and Fatigue Fractures of Metals Using Optical Coherence Tomography

Huţiu

Duma

Demian

et al. 2018

Metals

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Some forensic in situ investigations, such as those needed in transportation (for aviation, maritime, road, or rail accidents) or for parts working under harsh conditions (e.g., pipes or turbines) would benefit from a method/technique that distinguishes ductile from brittle fractures of metals-as material defects are one of the potential causes of incidents. Nowadays, the gold standard in material studies is represented by scanning electron microscopy (SEM). However, SEM instruments are large, expensive, time-consuming, and lab-based; hence, in situ measurements are impossible. To tackle these issues, we propose as an alternative, lower-cost, sufficiently high-resolution technique, Optical Coherence Tomography (OCT) to perform fracture analysis by obtaining the topography of metallic surfaces. Several metals have been considered in this study: low soft carbon steels, lamellar graphite cast iron, an antifriction alloy, high-quality rolled steel, stainless steel, and ductile cast iron. An in-house developed Swept Source (SS) OCT system, Master-Slave (MS) enhanced is used, and height profiles of the samples' surfaces were generated. Two configurations were used: one where the dimension of the voxel was 1000 µm 3 and a second one of 160 µm 3 -with a 10 µm and a 4 µm transversal resolution, respectively. These height profiles allowed for concluding that the carbon steel samples were subject to ductile fracture, while the cast iron and antifriction alloy samples were subjected to brittle fracture. The validation of OCT images has been made with SEM images obtained with a 4 nm resolution. Although the OCT images are of a much lower resolution than the SEM ones, we demonstrate that they are sufficiently good to obtain clear images of the grains of the metallic materials and thus to distinguish between ductile and brittle fractures-especially with the higher resolution MS/SS-OCT system. The investigation is finally extended to the most useful case of fatigue fracture of metals, and we demonstrate that OCT is able to replace SEM for such investigations as well.

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Section: Introductionmentioning

confidence: 99%

Assessment of Ductile, Brittle, and Fatigue Fractures of Metals Using Optical Coherence Tomography

Huţiu

Duma

Demian

et al. 2018

Metals

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“…OCT and other techniques, such as white light interferometry, have also been used for metallic materials, for example, to determine their roughness [8]. The issue of penetration depth that is acute in imaging tissue is of no concern in this case, as such studies refer only to the profile of a reflective metallic surface.…”

Section: Introductionmentioning

confidence: 99%

Surface imaging of metallic material fractures using optical coherence tomography

et al. 2014

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We demonstrate the capability of optical coherence tomography (OCT) to perform topography of metallic surfaces after being subjected to ductile or brittle fracturing. Two steel samples, OL 37 and OL 52, and an antifriction Sn-Sb-Cu alloy were analyzed. Using an in-house-built swept source OCT system, height profiles were generated for the surfaces of the two samples. Based on such profiles, it can be concluded that the first two samples were subjected to ductile fracture, while the third one was subjected to brittle fracture. The OCT potential for assessing the surface state of materials after fracture was evaluated by comparing OCT images with images generated using an established method for such investigations, scanning electron microscopy (SEM). Analysis of cause of fracture is essential in response to damage of machinery parts during various accidents. Currently the analysis is performed using SEM, on samples removed from the metallic parts, while OCT would allow in situ imaging using mobile units. To the best of our knowledge, this is the first time that the OCT capability to replace SEM has been demonstrated. SEM is a more costly and time-consuming method to use in the investigation of surfaces of microstructures of metallic materials.

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“…Already highly established in medical applications, this non-destructive and contactless technique is being extensively investigated, at the moment, in material sciences for determining the microscopic properties, such as thickness, roughness, and surface profile of steel materials [20][21][22], laser-processed plastics [23] and composites [24,25]. Recently, OCT was implemented for recognition of weave patterns of fabrics [26,27].…”

Section: Introductionmentioning

confidence: 99%

A Method for the Assessment of Textile Pilling Tendency Using Optical Coherence Tomography

Sekulska‐Nalewajko

Gocławski

Korzeniewska

2020

Sensors

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Pilling is caused by friction pulling and fuzzing the fibers of a material. Pilling is normally evaluated by visually counting the pills on a flat fabric surface. Here, we propose an objective method of pilling assessment, based on the textural characteristics of the fabric shown in optical coherence tomography (OCT) images. The pilling layer is first identified above the fabric surface. The percentage of protruding fiber pixels and Haralick’s textural features are then used as pilling descriptors. Principal component analysis (PCA) is employed to select strongly correlated features and then reduce the feature space dimensionality. The first principal component is used to quantify the intensity of fabric pilling. The results of experimental studies confirm that this method can determine the intensity of pilling. Unlike traditional methods of pilling assessment, it can also detect pilling in its early stages. The approach could help to prevent overestimation of the degree of pilling, thereby avoiding unnecessary procedures, such as mechanical removal of entangled fibers. However, the research covered a narrow group of fabrics and wider conclusions about the usefulness and limitations of this method can be drawn after examining fabrics of different thickness and chemical composition of fibers.

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3-D Surface roughness profile of 316-stainless steel using vertical scanning interferometry with a superluminescent diode

Cited by 12 publications

References 11 publications

Assessment of Ductile, Brittle, and Fatigue Fractures of Metals Using Optical Coherence Tomography

Assessment of Ductile, Brittle, and Fatigue Fractures of Metals Using Optical Coherence Tomography

Surface imaging of metallic material fractures using optical coherence tomography

A Method for the Assessment of Textile Pilling Tendency Using Optical Coherence Tomography

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