Tomography of Materials and Structures最新文献_第2页

Spectral X-ray computed tomography for the chemical identification of critical minerals 用于关键矿物化学鉴定的光谱x射线计算机断层扫描

Tomography of Materials and Structures Pub Date : 2025-02-28 DOI: 10.1016/j.tmater.2025.100059

Florian Buyse , Matthieu N. Boone , Frederic Van Assche , Stéphane Faucher , Peter Moonen , Stijn Dewaele , Veerle Cnudde

{"title":"Spectral X-ray computed tomography for the chemical identification of critical minerals","authors":"Florian Buyse , Matthieu N. Boone , Frederic Van Assche , Stéphane Faucher , Peter Moonen , Stijn Dewaele , Veerle Cnudde","doi":"10.1016/j.tmater.2025.100059","DOIUrl":"10.1016/j.tmater.2025.100059","url":null,"abstract":"<div><div>Differentiating minerals using high-resolution X-ray tomography (µCT) relies on distinct differences in the attenuation coefficient <em>µ</em>. The <em>µ</em> value depends on an interplay between the material density <em>ρ</em> and the effective atomic number <em>Z</em><sub><em>eff</em></sub> of a mineral phase. Difficulties in identifying mineral phases arise when this interplay gives similar <em>µ</em> values and thus limited contrast within µCT images. Untangling these two dependencies is essential to improve the three-dimensional chemical identification of critical minerals. Lab-based methods and techniques often incorporate different measures, but only show a limited application potential on multiphase geological samples. Using high-<em>Z</em> spectral laboratory-based µCT we studied the potential of directly identifying chemical elements within the practical margins of high-<em>Z</em> spectral detectors. This paper compares the results from three mineral deposits using two spectral µCT setups. Chemical elements with a <em>Z</em> higher than molybdenum and a concentration of at least some weight percentage were correctly identified using K-edge imaging. The suitability of the different high-<em>Z</em> spectral detectors depends largely on the availability of prior knowledge of the sample composition. Quantifying elemental concentrations is element- and sample specific and currently does not allow for optimal automated mineralogy solutions. Improving the three-dimensional identification of minerals can be achieved with dedicated analyses of the energy-dependent <em>µ</em> curve and therefore will remain the focus of future work.</div></div>","PeriodicalId":101254,"journal":{"name":"Tomography of Materials and Structures","volume":"8 ","pages":"Article 100059"},"PeriodicalIF":0.0,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143591726","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}

引用次数: 0

Synchrotron computed tomography of 5000 years old faience beads from Southeastern Anatolia (Türkiye) 来自安纳托利亚东南部的5000年前彩陶珠的同步加速器计算机断层扫描

Tomography of Materials and Structures Pub Date : 2025-02-21 DOI: 10.1016/j.tmater.2025.100056

Gonca Dardeniz , Gülistan Büyükgedik , Onur Kaya , Suat Özkorucuklu , Fareeha Hameed , Gianluca Iori

引用次数: 0

Characterizing heterogeneous rocks in 3D with a multimodal deep learning approach – Implications for transport simulations 用多模态深度学习方法表征非均质岩石的三维特征-对运输模拟的影响

Tomography of Materials and Structures Pub Date : 2025-02-13 DOI: 10.1016/j.tmater.2025.100055

Jukka Kuva , Mohammad Jooshaki , Ester M. Jolis , Juuso Sammaljärvi , Marja Siitari-Kauppi , Filip Jankovský , Milan Zuna , Alan Bischoff , Paul Sardini

{"title":"Characterizing heterogeneous rocks in 3D with a multimodal deep learning approach – Implications for transport simulations","authors":"Jukka Kuva , Mohammad Jooshaki , Ester M. Jolis , Juuso Sammaljärvi , Marja Siitari-Kauppi , Filip Jankovský , Milan Zuna , Alan Bischoff , Paul Sardini","doi":"10.1016/j.tmater.2025.100055","DOIUrl":"10.1016/j.tmater.2025.100055","url":null,"abstract":"<div><div>Investigating the heterogeneous transport properties of rock is vital for accurate assessment of radionuclide migration, which is essential for the safety assessment of a nuclear waste disposal facility. Previous studies have combined x-ray computed tomography (XCT) with other methods to obtain three-dimensional (3D) mineral and porosity maps, but such approaches are time consuming and somewhat dependent on the operator. To address these limitations, we have developed a deep learning-based method that combines XCT with fast and modern characterization techniques such as scanning micro x-ray fluorescence (μXRF) and carbon 14 polymethylmethacrylate (PMMA) autoradiography. This innovative approach produces 3D mineral and porosity maps with minimal operator dependency and manual work. The results obtained from our analysis of various rock samples demonstrate the method’s suitability for transport simulation studies in various geological settings.</div></div>","PeriodicalId":101254,"journal":{"name":"Tomography of Materials and Structures","volume":"7 ","pages":"Article 100055"},"PeriodicalIF":0.0,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143436464","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}

引用次数: 0

Scale correction in submicron computed tomography with a submillimeter field of view 亚毫米视场亚微米计算机断层扫描中的尺度校正

Tomography of Materials and Structures Pub Date : 2025-02-05 DOI: 10.1016/j.tmater.2025.100054

Marek Zemek , Pavel Blažek , Jakub Šalplachta , Tomáš Zikmund , Michal Petřík , Robert H. Schmitt , Jozef Kaiser

{"title":"Scale correction in submicron computed tomography with a submillimeter field of view","authors":"Marek Zemek , Pavel Blažek , Jakub Šalplachta , Tomáš Zikmund , Michal Petřík , Robert H. Schmitt , Jozef Kaiser","doi":"10.1016/j.tmater.2025.100054","DOIUrl":"10.1016/j.tmater.2025.100054","url":null,"abstract":"<div><div>Advances in micro-manufacturing and materials science create a demand for dimensional measurements using computed tomography with sub-micrometer resolution (submicron CT). Correction of the scale of CT data is essential for this task, but existing tools, which are used in CT modalities with lower resolutions, are often not suitable for submicron CT. The following study adapts scale correction to submicron CT using a miniature reference object with two ruby balls, which fits into a field of view with a sub-millimeter diameter and features a calibrated ball center-to-center distance of approximately 450 μm. CT data of the reference object were analyzed to determine a scale correction factor, which was applied to measurements of two additional reference objects of a similar scale and composition. The average bias of measurements for one of the objects was reduced from 3.35 μm to 0.26 μm, and the measurement uncertainty was lowered from 3.4 μm to 1.2 μm. Similar results were also achieved for the second object. The extended scan time of the reference object and the potential for sample drift, which are both typical for submicron CT, were mitigated by angular undersampling. Finally, a complementary scale correction approach is demonstrated using projection data of the reference object. This approach avoids tomographic artifacts caused by very radio-opaque objects, and it is practical for applications that utilize lower-energy X-rays.</div></div>","PeriodicalId":101254,"journal":{"name":"Tomography of Materials and Structures","volume":"7 ","pages":"Article 100054"},"PeriodicalIF":0.0,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143378757","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}

引用次数: 0

Development of AI crack segmentation models for additive manufacturing 面向增材制造的AI裂纹分割模型的开发

Tomography of Materials and Structures Pub Date : 2025-02-01 DOI: 10.1016/j.tmater.2025.100053

Tebogo Ledwaba , Christine Steenkamp , Agnieszka Chmielewska-Wysocka , Bartlomiej Wysocki , Anton du Plessis

{"title":"Development of AI crack segmentation models for additive manufacturing","authors":"Tebogo Ledwaba , Christine Steenkamp , Agnieszka Chmielewska-Wysocka , Bartlomiej Wysocki , Anton du Plessis","doi":"10.1016/j.tmater.2025.100053","DOIUrl":"10.1016/j.tmater.2025.100053","url":null,"abstract":"<div><div>The use of X-ray computed tomography (XCT) has seen significant growth over a broad range of disciplines including biology, earth science, engineering, and many more. It is now increasingly used in additive manufacturing (AM) since its benefits are being appreciated more widely. This is due to the method being non-destructive and comprehensive, providing external and internal information of tested parts. Data processing and segmentation of XCT data is important to get as much information as possible so that a clear picture of features can be obtained and analyzed. Porosity analysis has been the most successful and widely used XCT analysis type in all fields so far, partly due to simple manual segmentation methods such as the Otsu global threshold. However, segmentation of small and narrow features such as cracks are challenging with conventional thresholding methods. Since automated conventional methods fail, manual segmentation is often used but this can be subjective, tedious, and prone to segmentation errors. The present work employs neural networks, specifically the U-Net architecture and thoroughly investigates possible solutions to a robust crack segmentation model. Intensity scale calibration, bias training weights and data augmentations were investigated in detail to find the best possible performance of trained models, when employed on new data. The results demonstrate the performance and improvement gained by each of the above factors, as well as the successful AI segmentation for various additively manufactured sample types with different cracks. This method enables clear visualization and presentation of cracks, as well as their quantification. The model strives toward a generic crack segmentation model for all AM parts that could be used directly by others. This generalizability of the model is discussed together with its limitations.</div></div>","PeriodicalId":101254,"journal":{"name":"Tomography of Materials and Structures","volume":"7 ","pages":"Article 100053"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143092944","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}

引用次数: 0

Contrast-enhancing staining agents for ex vivo contrast-enhanced computed tomography: A review 对比增强染色剂用于离体计算机断层扫描：综述

Tomography of Materials and Structures Pub Date : 2025-01-31 DOI: 10.1016/j.tmater.2025.100052

T. Balcaen , S. Vangrunderbeeck , W.M. De Borggraeve , G. Kerckhofs

{"title":"Contrast-enhancing staining agents for ex vivo contrast-enhanced computed tomography: A review","authors":"T. Balcaen , S. Vangrunderbeeck , W.M. De Borggraeve , G. Kerckhofs","doi":"10.1016/j.tmater.2025.100052","DOIUrl":"10.1016/j.tmater.2025.100052","url":null,"abstract":"<div><div><em>Ex vivo</em> microCT imaging has emerged as a powerful tool for 3D histology of biological tissues, offering significant advantages in terms of spatial resolution, simplicity of protocols and acquisition speed. Among the various techniques available, contrast-enhanced computed tomography (CECT) is particularly favored for its ability to simultaneously visualize soft and mineralized tissue types through the use of contrast agents (CAs), making it suitable for laboratory-based microCT devices. This review focuses on contrast-enhancing staining agents (CESAs), a subclass of CAs, which enrich the X-ray attenuating atom content in soft tissues through interactions. Within this review, CESAs are categorized based on their chemical composition into organic, mixed (<em>i.e.</em> heavy metal and organic ligand) and inorganic compounds, each with specific properties and applications. Despite the growing interest and numerous studies on CESAs, the selection process often relies on trial-and-error, anecdotal knowledge, or commercial availability. This review aims to enhance understanding of the chemical interactions and distribution patterns of CESAs within biological tissues, by discussing a selection of studies grouping observations by tissues and organs, to gain a better understanding of consistent affinity patterns. The findings highlight the complexity and accompanying challenges of predicting CESA distribution. This review will provide a foundation for both intelligent CESA selection and design, tailored to specific research needs as well as a guide for the application expert in choosing relevant literature for designing their experiments.</div></div>","PeriodicalId":101254,"journal":{"name":"Tomography of Materials and Structures","volume":"7 ","pages":"Article 100052"},"PeriodicalIF":0.0,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143212849","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}

引用次数: 0

Visualizing pulp fibers using X-ray tomography: Enhancing the contrast by labeling with iron oxide nanoparticles and the use of immersion oil 使用x射线断层扫描显示纸浆纤维：通过氧化铁纳米颗粒标记和使用浸没油来增强对比度

Tomography of Materials and Structures Pub Date : 2025-01-28 DOI: 10.1016/j.tmater.2025.100051

Anderson T.V. Veiga , Elisa S. Ferreira , James Drummond , Lewis Mason , Samuel N.M. Brown , André Phillion , D. Mark Martinez , Emily D. Cranston

{"title":"Visualizing pulp fibers using X-ray tomography: Enhancing the contrast by labeling with iron oxide nanoparticles and the use of immersion oil","authors":"Anderson T.V. Veiga , Elisa S. Ferreira , James Drummond , Lewis Mason , Samuel N.M. Brown , André Phillion , D. Mark Martinez , Emily D. Cranston","doi":"10.1016/j.tmater.2025.100051","DOIUrl":"10.1016/j.tmater.2025.100051","url":null,"abstract":"<div><div>In this study, we present a protocol to visualize the architecture of tracer fibers in paper using X-ray tomography. We prepared tracer fibers by depositing iron oxide nanoparticles on the surface of select papermaking fibers, through a multicycle labeling technique that achieved 14 wt% of iron. Labeled and unlabeled fibers on their own, as well as laboratory-formed paper containing a small fraction of the tracer fibers, were imaged in air and after immersion in a non-polar oil. We found that labeled fibers could be segmented from the background through simple binarization when in the immersed state whereas segmentation failed when the samples were imaged in air. We propose that the oil served as a mask, created through compositional and density matching of the unlabeled fibers to the saturated void volume. This new labeling and immersion protocol opens avenues to enhance the contrast of tracers for improved characterization of cellulosic materials via X-ray tomographic imaging in an approach that does not require advanced image processing methods for segmentation.</div></div>","PeriodicalId":101254,"journal":{"name":"Tomography of Materials and Structures","volume":"7 ","pages":"Article 100051"},"PeriodicalIF":0.0,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143092943","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}

引用次数: 0

3D mineral quantification of particulate materials with rare earth mineral inclusions: Achieving sub-voxel resolution by considering the partial volume and blurring effect 含稀土矿物包裹体颗粒材料的三维矿物定量：通过考虑局部体积和模糊效应实现亚体素分辨率

Tomography of Materials and Structures Pub Date : 2025-01-26 DOI: 10.1016/j.tmater.2025.100050

Shuvam Gupta , Vivian Moutinho , Jose R.A. Godinho , Bradley M. Guy , Jens Gutzmer

{"title":"3D mineral quantification of particulate materials with rare earth mineral inclusions: Achieving sub-voxel resolution by considering the partial volume and blurring effect","authors":"Shuvam Gupta , Vivian Moutinho , Jose R.A. Godinho , Bradley M. Guy , Jens Gutzmer","doi":"10.1016/j.tmater.2025.100050","DOIUrl":"10.1016/j.tmater.2025.100050","url":null,"abstract":"<div><div>This study documents a significant enhancement to the recently introduced Mounted Single Particle Characterization and Mineralogical Analyses (MSPaCMAn) workflow for particulate samples by X-ray computed tomography analyses. This enhancement is used to quantify the abundance of small grains of rare earth minerals within particulate samples of iron ore. In the studied samples, rare earth minerals are typically present as minute grains. The small size creates challenges for X-ray computed tomography due to the well-known partial volume and blurring effects. This effect is particularly pronounced when the sizes of grains start to approach the sizes of voxels. The enhanced MSPaCMAn workflow incorporates new steps to improve the reliability of mineral characterization by simultaneously analyzing the grey values and geometrical properties of rare earth mineral grains and their host minerals. The refined workflow also enables the comprehensive characterization of particle surfaces. The results of the MSPaCMAn were validated by scanning electron microscopy-based automated mineralogy and X-ray powder diffraction data. The study is a step towards accurate and reproducible mineralogical quantification of particulate processing samples using X-ray 3D imaging.</div></div>","PeriodicalId":101254,"journal":{"name":"Tomography of Materials and Structures","volume":"7 ","pages":"Article 100050"},"PeriodicalIF":0.0,"publicationDate":"2025-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143092942","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}

引用次数: 0

Geo-SegNet: A contrastive learning enhanced U-net for geomaterial segmentation Geo-SegNet：一种增强对比学习的U-net地质材料分割方法

Tomography of Materials and Structures Pub Date : 2025-01-20 DOI: 10.1016/j.tmater.2025.100049

Qinyi Tian , Sara Goodhue , Hou Xiong , Laura E. Dalton

引用次数: 0

Photo-oxidation of semicrystalline polymers: Effect of stress triaxiality on ductility 半晶聚合物的光氧化：应力三轴性对延性的影响

Tomography of Materials and Structures Pub Date : 2025-01-08 DOI: 10.1016/j.tmater.2025.100048

K.N. Cundiff , T.F. Morgeneyer , A.A. Benzerga

{"title":"Photo-oxidation of semicrystalline polymers: Effect of stress triaxiality on ductility","authors":"K.N. Cundiff , T.F. Morgeneyer , A.A. Benzerga","doi":"10.1016/j.tmater.2025.100048","DOIUrl":"10.1016/j.tmater.2025.100048","url":null,"abstract":"<div><div>The effect of stress triaxiality on the strain-to-fracture of as-received and photo-oxidized polyamide-6 (PA-6) was investigated using mechanical testing, synchrotron X-ray tomography, and finite element analyses. Mechanical tests were conducted on cylindrical and round notched specimens, where different notch radii were used to vary the stress triaxiality. The specimens were aged by exposure to ultra-violet (UV) radiation at 60<sup>∘</sup>, causing photo-oxidation. As-received and so-aged specimens were loaded to failure (complete loss of load carrying capacity). For both unaged and aged specimens, a higher triaxiality led to a lower strain-to-fracture. To elucidate the micromechanical damage that mediates fracture in both conditions, specimens with an intermediate notch sharpness were loaded to the peak load, unloaded, and scanned <em>ex situ</em> using synchrotron X-ray tomography. Damage in the unaged bar was found to occur by cavitation and was concentrated at the center of the specimen, where the triaxiality is highest. In the UV-aged bar, a network of inter-connected chemical cracks were found on the notch surface, where the triaxiality is lowest. Finite element analyses were deployed to approximate the local triaxiality at damaged regions in the unaged and UV-aged specimens using a constitutive relation for semicrystalline polymers. From these analyses, the relationship between local triaxiality and strain-to-fracture was quantified for both unaged and photo-oxidized PA-6. Both unaged and photo-oxidized PA-6 showed similar decreases in ductility with triaxiality, hinting at common ductile fracture processes.</div></div>","PeriodicalId":101254,"journal":{"name":"Tomography of Materials and Structures","volume":"7 ","pages":"Article 100048"},"PeriodicalIF":0.0,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143092940","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}

引用次数: 0