Tomography of Materials and Structures最新文献

{"title":"Numerical failure modelling of natural fibre composite coupons using X-ray computed tomography based modelling","authors":"Marcus Iversen ,&nbsp;Anton Årmann ,&nbsp;Robert M. Auenhammer ,&nbsp;Nikoleta Pasvanti ,&nbsp;Johann Körbelin ,&nbsp;Kai Kallio ,&nbsp;Leif E. Asp ,&nbsp;Renaud Gutkin","doi":"10.1016/j.tmater.2024.100042","DOIUrl":"10.1016/j.tmater.2024.100042","url":null,"abstract":"<div><div>Natural fibre composites offer versatile applications across industries while being superior in sustainability aspects compared to other composite types. To unlock their full potential, it is essential to understand their complex failure involving fibre failure, matrix cracking, and debonding at the fibre-matrix interface. Efforts to address these challenges focus on advanced numerical models, probing behaviour from micro to macro scales. However, these models face complexities in handling intricate failure modes given the non-uniform nature of natural fibres. To overcome these challenges, image-based modelling using X-ray computed tomography scans is proposed. This work’s novelty lies in integrating detailed microstructure information with a nonlinear calibration procedure to accurately model damage and failure in natural fiber composites. It marks a significant step toward developing a virtual testing model, paving the way for assessing composites with varying fiber content or fiber types.</div></div>","PeriodicalId":101254,"journal":{"name":"Tomography of Materials and Structures","volume":"6 ","pages":"Article 100042"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142551919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"3D empirical mineral dissolution model of galena (PbS) in ethaline solution","authors":"Chandra Widyananda Winardhi ,&nbsp;Jose Ricardo da Assuncao Godinho ,&nbsp;Veerle Cnudde ,&nbsp;Jens Gutzmer","doi":"10.1016/j.tmater.2024.100040","DOIUrl":"https://doi.org/10.1016/j.tmater.2024.100040","url":null,"abstract":"<div><p>Mineral dissolution is an important process that occurs in both natural as well as anthropogenic processes. The kinetics of such dissolution processes are influenced not only by the characteristics of the solution but also by the characteristics of the minerals, such as crystal defects on the microscopic scale or macroscopic features such as the intersection of crystal planes to form edges and corners. Macroscopic features are known to increase the population of steps and kinks that may, in turn, affect the dissolution rate over time. Hence, this study presents a 3D empirical dissolution model aimed at examining the time-series evolution of macroscopic features together with the corresponding changes in the dissolution rate under far from equilibrium batch reactor conditions. The developed empirical model is based on the mineral geometry (surface topography and volume) derived from X-ray computed tomography (CT) measurements. The macroscopic features are identified using surface curvature which are then used to generate reactivity maps for dissolution model. As a study case, the dissolution of monomineralic galena (PbS) in ethaline and iodine as oxidizing agent is experimentally observed and then modelled. The model is then applied to seven particles of various shapes and sizes. The finding suggests that the surface reactivity increases over time as the particle shrinks and the macroscale steps and edges become dominant over the initial terraces. This implies that the persistent highly reactive surface sites defined by a particle’s geometry may play a dominant role in the overall particle dissolution in addition to the dissolution mechanisms typically studied on near atomic-flat surfaces. The model developed in this investigation offers the opportunity to be extended providing the possibility of simulating the dissolution of multi-mineral particles during batch dissolution experiments.</p></div>","PeriodicalId":101254,"journal":{"name":"Tomography of Materials and Structures","volume":"6 ","pages":"Article 100040"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949673X24000172/pdfft?md5=a32997434eca2a39dce7135b5a8c0f80&pid=1-s2.0-S2949673X24000172-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141605699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A protocol and graphical user interface to assist new users with the planning of X-ray computed tomography experiments","authors":"Jose Ricardo Assuncao Godinho ,&nbsp;Hannah Vogel ,&nbsp;Oliver Plümper ,&nbsp;Laurenz Schröer ,&nbsp;Florian Buyse ,&nbsp;Veerle Cnudde ,&nbsp;Peter Moonen","doi":"10.1016/j.tmater.2024.100041","DOIUrl":"10.1016/j.tmater.2024.100041","url":null,"abstract":"<div><div>X-ray computed micro tomography (CT) is the main 3D technique for imaging the internal microstructures of samples. Experimental planning is crucial to ensure the adequacy of CT results to answer specific scientific questions, optimizing the use of resources and maximizing the quality of results. Proper planning requires a certain level of expertise in the technique and the details of the specific scientific question to be answered. Notably, potential new CT users who have formulated a scientific question may not have the in-depth knowledge about CT necessary to make a first assessment of whether CT is suitable for their work. Here, a step-by-step protocol to plan CT experiments and an interactive graphical user interface (XCT-Explorer) are proposed to guide users through the different steps of the protocol and to link the various CT parameters required to perform a scan. The protocol is based on the experience gained within EXCITE (Electron and X-ray microscopy Community for structural and chemical Imaging Techniques for Earth materials) through interactions between facility managers and users from various scientific fields. The planning protocol aims to 1) help potential CT users with limited knowledge of CT (e.g. first-time users) to decide whether CT can answer their scientific question; 2) guide users to decide which parameters are the most appropriate for their sample/problem; 3) facilitate the initial contact between CT provider and new users; and 4) standardize the planning stage of CT experiments as the foundation for FAIR (Findable Accessible Interoperable and Reusable) practices.</div></div>","PeriodicalId":101254,"journal":{"name":"Tomography of Materials and Structures","volume":"6 ","pages":"Article 100041"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cross-detector scatter issues in dual synchronous tomography: An affine projection correction protocol","authors":"Jean Michel Létang ,&nbsp;Joël Lachambre ,&nbsp;Éric Maire","doi":"10.1016/j.tmater.2024.100039","DOIUrl":"10.1016/j.tmater.2024.100039","url":null,"abstract":"<div><p>Dual-beam x-ray tomography systems are paving the way for new experimental procedures, such as multi-resolution and multi-energy imaging, where synchronous acquisitions are essential. However, in such systems, cross-detector scatter between the detecting devices can occur as the two beamlines operate simultaneously. This paper proposes a new affine image transformation model of each projection to correct for these cross-detector scatter issues. A toy tomography test case is presented to assess the feasibility and performance of the proposed correction method.</p></div>","PeriodicalId":101254,"journal":{"name":"Tomography of Materials and Structures","volume":"6 ","pages":"Article 100039"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949673X24000160/pdfft?md5=2bfc02de3210eaa9fbe6cd363bac35df&pid=1-s2.0-S2949673X24000160-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141622951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dual Beam microfocus high-energy tomography: Towards multimodal and faster laboratory experiments","authors":"Eric Maire ,&nbsp;Gabriel Bonnard ,&nbsp;Jérôme Adrien ,&nbsp;Xavier Boulnat ,&nbsp;Jean Michel Létang ,&nbsp;Joël Lachambre","doi":"10.1016/j.tmater.2024.100030","DOIUrl":"https://doi.org/10.1016/j.tmater.2024.100030","url":null,"abstract":"<div><p>This paper discusses the development of a Dual Beam microfocus high-energy X-ray tomography system for laboratory experiments, aiming to enhance temporal resolution and multimodal capabilities. Initially, X-ray computed tomography (XRCT) in materials science, particularly using synchrotron sources, provided valuable insights into microstructures. Digital volume correlation (DVC) emerged as a tool for measuring displacement fields during <em>in situ</em> XRCT tests. High-speed XRCT became possible with synchrotrons, but laboratory devices still face limitations due to moderate X-ray flux. This paper describes the design and implementation of a new dual high-energy X-ray tomograph with two twin beamlines. The paper also covers the first <em>in situ</em> dual-beam experiment involving the <em>in situ</em> compression test of an aluminium foam sample. It discusses calculating DVC displacement fields from radiographs, comparing them to control tomographic scans, and assessing their quality. The paper explores the potential for deforming initial scans using DVC fields, both from radiographs and tomographic scans. The approach shows reasonable quantitative agreement with control scans but does not capture rotational motion along the vertical axis.</p></div>","PeriodicalId":101254,"journal":{"name":"Tomography of Materials and Structures","volume":"5 ","pages":"Article 100030"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949673X2400007X/pdfft?md5=5f4647c3bf64cf91cbf31cf9d788ca90&pid=1-s2.0-S2949673X2400007X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140548234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hyperparameter tuning for deep learning semantic image segmentation of micro computed tomography scanned fiber-reinforced composites","authors":"Benjamin Provencher ,&nbsp;Aly Badran ,&nbsp;Jonathan Kroll ,&nbsp;Mike Marsh","doi":"10.1016/j.tmater.2024.100032","DOIUrl":"https://doi.org/10.1016/j.tmater.2024.100032","url":null,"abstract":"<div><p>Image segmentation with deep learning models has significantly improved the accuracy of the pixel-wise labeling of scientific imaging which is critical for many quantitative image analyses. This has been feasible through U-Net and related architecture convolutional neural network models. Although the adoption of these models has been widespread, their training data pool and hyperparameters have been mostly determined by educated guesses through trial and error. In this study, we present observations of how training data volume, data augmentation, and patch size affect deep learning performance within a limited data set. Here we study U-Net model training on four different samples of x-ray CT images of fiber-reinforced composites. Because the training process is not deterministic, we relied on seven-fold replication of each experimental condition to avoid under-sampling and observe model training variance. Unsurprisingly, we find greater training data volume strongly benefits individual models’ final accuracy and learning speed while depressing variance among replicates. Importantly, data augmentation has a profound benefit to model performance, especially in cases with a low abundance of ground truth, and we conclude that high coefficients of data augmentation should be used in scientific imaging semantic segmentation models. Future work to describe and measure image complexity is warranted and likely to ultimately guide researchers on the minimum required training data volume for particular scientific imaging deep learning tasks.</p></div>","PeriodicalId":101254,"journal":{"name":"Tomography of Materials and Structures","volume":"5 ","pages":"Article 100032"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949673X24000093/pdfft?md5=da6854daba2f9f8766fa239754b8e37a&pid=1-s2.0-S2949673X24000093-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140878454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"3D characterization of splits in tested fracture mechanics specimens using X-ray computed tomography","authors":"Sergio Luis Gonzalez Assias ,&nbsp;Cesar Giron Camerini ,&nbsp;Hector Guillermo Kotik ,&nbsp;Juan Elías Perez Ipiña","doi":"10.1016/j.tmater.2024.100033","DOIUrl":"https://doi.org/10.1016/j.tmater.2024.100033","url":null,"abstract":"<div><p>Splits are delaminations that may appear perpendicular to the crack plane during fracture toughness tests of certain materials, such as hot-rolled metal alloys. X-ray computed tomography (CT) was used to conduct a 3D analysis of the geometrical and morphological characteristics of the splits in SE(B) specimens machined from a DH36 steel. Tomograms and 3D reconstructions of the CT results were compared with high-resolution images obtained through optical microscopy (OM) and scanning electron microscopy (SEM). Quantitative and qualitative comparisons revealed a good agreement between the results, validating the split characterization by CT. It was discussed whether characterizing the splits just by the routinary fracture surface observation conducted in fracture mechanics specimens can hide important phenomena such as plane changes, branching, and interactions between delaminations. On the other hand, CT enables an accurate and comprehensive characterization of the morphological and geometrical attributes of splits. Contrasts between the analysis and characteristics of deformed and undeformed splits were made. Finally, the limitations and challenges of the 3D split characterization by CT were also discussed, exploring experimental and image processing issues. These findings emphasize that a more thorough understanding of the internal structure of splits can be achieved by applying CT analysis, contrasting with traditional fracture surface examination. This study highlights the relevance of CT in revealing hidden complexities within the internal structure of specimens with splits.</p></div>","PeriodicalId":101254,"journal":{"name":"Tomography of Materials and Structures","volume":"5 ","pages":"Article 100033"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949673X2400010X/pdfft?md5=2b48a88d13f48cfccdeb5ff8de6b1c7d&pid=1-s2.0-S2949673X2400010X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140649161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A comparison of stitching techniques to reconstruct large volume x-ray tomography of batteries","authors":"Matilda Fransson ,&nbsp;Benoit Cordonnier ,&nbsp;Ramon Zimmermanns ,&nbsp;Paul R. Shearing ,&nbsp;Alexander Rack ,&nbsp;Ludovic Broche","doi":"10.1016/j.tmater.2024.100029","DOIUrl":"https://doi.org/10.1016/j.tmater.2024.100029","url":null,"abstract":"<div><p>Synchrotron-based X-ray microtomography (μCT) is a valuable technique to study the internal structure of heterogeneous samples with high spatial and temporal resolution. However, synchrotron X-ray imaging, such as many microscopy methods, is solidly limited by its Field of View (FOV): a challenge when approaching large and/or highly detailed volumes at high spatial imaging resolution. In this study, we consider two techniques used to increase the FOV in µCT for studying Li-ion batteries, Local Tomography Stitching (LTS) and Sinogram Oriented Stitching (SOS), and compare in terms of scan time, processing efficiency and computing storage. We complement our study by estimating the impact of different battery geometries on the stitching performance for similar scanning parameters. Evaluation of the two presented techniques reveals that both provide equally satisfyingly stitched volumes. Nevertheless, it is demonstrated that SOS is predominantly more efficient for the considered battery geometries, requires fewer scans in total, and hence has a lower time and storage demand in comparison to LTS. However, technical constraints make the SOS technique more difficult to implement. Further discussed are differences in acquisition and reconstruction for the two techniques, addressing the processing efficiency for both SOS and LTS techniques and we shall provide indicators for selecting the most suitable stitching technique.</p></div>","PeriodicalId":101254,"journal":{"name":"Tomography of Materials and Structures","volume":"5 ","pages":"Article 100029"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949673X24000068/pdfft?md5=39d788f96b4d61ee5fc0662c19bf4b41&pid=1-s2.0-S2949673X24000068-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140543266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Semantic segmentation of progressive micro-cracking in polymer composites using Attention U-Net architecture","authors":"Valeri Ivanov Petkov,&nbsp;Vivek Richards Pakkam Gabriel,&nbsp;Patrik Fernberg","doi":"10.1016/j.tmater.2024.100028","DOIUrl":"https://doi.org/10.1016/j.tmater.2024.100028","url":null,"abstract":"<div><p>The present study delivers a methodology for investigating the gradual damage development in a carbon fibre-reinforced cross-ply polymer composite during a sequence of thermo-mechanical loadings with the help of X-ray computed tomography. The procedure allows an in-depth analysis of the occurrence and nature of the multiple cracks that form within layers oriented perpendicular, or transverse, to the loading direction. This is achieved by using Attention U-Net architecture for semantic segmentation of the transverse cracks. The model shows promising results, through an ability to identify all the transverse cracks and reflect the damage progression. The described method provides a robust routine for analysing challenging polymer composite tomographic datasets.</p></div>","PeriodicalId":101254,"journal":{"name":"Tomography of Materials and Structures","volume":"5 ","pages":"Article 100028"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949673X24000056/pdfft?md5=2c71c8324a85db4ca569b8ebb632e36f&pid=1-s2.0-S2949673X24000056-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140345111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Connectivity in binary mixtures of spherical particles","authors":"Aurélien Sibellas ,&nbsp;James Drummond ,&nbsp;D. Mark Martinez ,&nbsp;André B. Phillion","doi":"10.1016/j.tmater.2024.100026","DOIUrl":"https://doi.org/10.1016/j.tmater.2024.100026","url":null,"abstract":"<div><p>Mono- and poly-disperse assemblies of spherical particles are investigated in terms of their average and partial coordination numbers by means of X-ray microtomography using a novel morphology-based image processing method to statistically distinguish true contacting particles from very close ones having apparent contacts arising from image artefacts. This technique is shown to reduce overestimations given by the laborious liquid-bridge method while corroborating theoretical predictions such as <span><math><mrow><mover><mrow><mi>Z</mi></mrow><mrow><mo>¯</mo></mrow></mover><mo>≤</mo><mn>6</mn></mrow></math></span> for random beds of mono-sized spheres and trends of the partial coordination numbers in binary mixtures of spheres. This method also provides a detailed and unbiased visualization of the long-range connectivity between similar particles which suggests that for partial coordination numbers <span><math><mrow><msub><mrow><mover><mrow><mi>Z</mi></mrow><mrow><mo>¯</mo></mrow></mover></mrow><mrow><mi>i</mi><mi>i</mi></mrow></msub><mo>&gt;</mo><mn>3</mn></mrow></math></span>, chains of particular contact-category are formed throughout the assembly.</p></div>","PeriodicalId":101254,"journal":{"name":"Tomography of Materials and Structures","volume":"5 ","pages":"Article 100026"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949673X24000032/pdfft?md5=311c4b96901a0c549bfb3172cc85281f&pid=1-s2.0-S2949673X24000032-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140113494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}