In Situ Testing Using Synchrotron Radiation Computed Tomography in Materials Research

Ni, Xinchen; Fritz, Nathan K.; Wardle, Brian L.

doi:10.1557/adv.2019.390

Cited by 10 publications

(4 citation statements)

References 25 publications

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“…The results of the corrosion pit morphology were validated with optical microscopy and the 2D and 3D surface methodology, which achieved a 40% accuracy with regard to pit regions. Synchrotron radiation computed tomography (SRCT) [53] was tested using electrochemical reaction visualizations, composite failure analysis, and corrosion rate measurements. This tomography technique used a resolution of less than 1 µm to create the 3D material microstructures.…”

Section: Computed Tomographymentioning

confidence: 99%

Computer Vision and Image Processing Approaches for Corrosion Detection

Ali,

Jamaludin,

Imran

et al. 2023

JMSE

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Corrosion is an undesirable phenomenon resulting in material deterioration and degradation through electrochemical or chemical reactions with the surrounding environment. Additionally, corrosion presents considerable threats in both the short and long term because of its ability to create failures, leakages, and damage to materials, equipment, and environment. Despite swift technological developments, it remains difficult to determine the degrees of corrosion due to the different textures and the edgeless boundary of corrosion surfaces. Hence, there is a need to investigate the robust corrosion detection algorithms that are suitable for all degrees of corrosion. Recently, many computer vision and image processing algorithms have been developed for corrosion prediction, assessment, and detection, such as filtering, texture, color, pixelation, image enhancement, wavelet transformation, segmentation, classification, and clustering approaches. As a result, this paper reviews and discusses the state-of-the-art computer vision and image processing methods that have been developed for corrosion detection in various applications, industries, and academic research. The challenges for corrosion detection using computer vision and image processing algorithms are also explored. Finally, recommendations for future research are also detailed.

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Section: Computed Tomographymentioning

confidence: 99%

Computer Vision and Image Processing Approaches for Corrosion Detection

Ali,

Jamaludin,

Imran

et al. 2023

JMSE

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“…[ 69 ] In fact, the word “tomography” derives from the ancient Greek, which means “slice”. [ 70 ] A 3D X‐ray computed tomography reconstruction is a linear inverse problem that attempts to retrieve/recover the spatial distribution of the attenuation coefficients μ ( x , y ) (or phase decrement δ( x , y ) for phase contrast) from a particular set of lower 2D X‐ray projection profiles by some reconstruction algorithms. [ 58 ] The relationship between the reconstructed slices and measured projections is described mathematically by the Radon transform.…”

Section: Fundamentals Of Synchrotron X‐ray Tomographymentioning

confidence: 99%

Synchrotron X‐Ray Tomography for Rechargeable Battery Research: Fundamentals, Setups and Applications

Tang

Yang

et al. 2021

Small Methods

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Understanding the complicated interplay of the continuously evolving electrode materials in their inherent 3D states during the battery operating condition is of great importance for advancing rechargeable battery research. In this regard, the synchrotron X‐ray tomography technique, which enables non‐destructive, multi‐scale, and 3D imaging of a variety of electrode components before/during/after battery operation, becomes an essential tool to deepen this understanding. The past few years have witnessed an increasingly growing interest in applying this technique in battery research. Hence, it is time to not only summarize the already obtained battery‐related knowledge by using this technique, but also to present a fundamental elucidation of this technique to boost future studies in battery research. To this end, this review firstly introduces the fundamental principles and experimental setups of the synchrotron X‐ray tomography technique. After that, a user guide to its application in battery research and examples of its applications in research of various types of batteries are presented. The current review ends with a discussion of the future opportunities of this technique for next‐generation rechargeable batteries research. It is expected that this review can enhance the reader's understanding of the synchrotron X‐ray tomography technique and stimulate new ideas and opportunities in battery research.

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“…In situ X-ray tomography has been used for various applications and provides abundant information on the modifications of structures in 3D. To analyse the demineralisation process over time, there is a requirement to develop and set up the use of fluidic devices that could lead to the development of four-dimensional (4D) tomography and provide structural information across time points [39,40].…”

Section: Introductionmentioning

confidence: 99%

Time-Lapse In Situ 3D Imaging Analysis of Human Enamel Demineralisation Using X-ray Synchrotron Tomography

et al. 2023

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Caries is a chronic disease that causes the alteration of the structure of dental tissues by acid dissolution (in enamel, dentine and cementum) and proteolytic degradation (dentine and cementum) and generates an important cost of care. There is a need to visualise and characterise the acid dissolution process on enamel due to its hierarchical structure leading to complex structural modifications. The process starts at the enamel surface and progresses into depth, which necessitates the study of the internal enamel structure. Artificial demineralisation is usually employed to simulate the process experimentally. In the present study, the demineralisation of human enamel was studied using surface analysis carried out with atomic force microscopy as well as 3D internal analysis using synchrotron X-ray tomography during acid exposure with repeated scans to generate a time-lapse visualisation sequence. Two-dimensional analysis from projections and virtual slices and 3D analysis of the enamel mass provided details of tissue changes at the level of the rods and inter-rod substance. In addition to the visualisation of structural modifications, the rate of dissolution was determined, which demonstrated the feasibility and usefulness of these techniques. The temporal analysis of enamel demineralisation is not limited to dissolution and can be applied to other experimental conditions for the analysis of treated enamel or remineralisation.

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In Situ Testing Using Synchrotron Radiation Computed Tomography in Materials Research

Cited by 10 publications

References 25 publications

Computer Vision and Image Processing Approaches for Corrosion Detection

Computer Vision and Image Processing Approaches for Corrosion Detection

Synchrotron X‐Ray Tomography for Rechargeable Battery Research: Fundamentals, Setups and Applications

Time-Lapse In Situ 3D Imaging Analysis of Human Enamel Demineralisation Using X-ray Synchrotron Tomography

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