MicroComputed Tomography

Stock, Stuart R.

doi:10.1201/9781420058772

Cited by 137 publications

(19 citation statements)

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“…XRM, discussed extensively elsewhere [35,38,[43][44][45], uses the X-ray computed tomography (CT) approach to collect 3D images of specimen interiors by collecting a series of projection X-ray radiographs at various viewing angles (achieved by rotating the specimen and exposing it to the X-ray beam). The resulting projection images were subsequently reconstructed using a Feldcamp-Davis-Kress (FDK) or filtered back projection (FBP) algorithm (the former for micron-to sub-micron imaging, and the latter for nano-scale imaging) [46], and the 3D datasets produced by this process were rendered and analyzed for porosity using ORS Visual Si Advanced (Object Research Systems, Montreal, QB, Canada) [38,44]. Further simulation studies were performed using GeoDict (Math2Market, Gmbh, Kaiserslautern, Germany) [47], which computed effective diffusivity [48,49], tortuosity [50], and, by means of morphological manipulation, a Bruggeman coefficient for the specimen under study .…”

Section: X-ray Microscopymentioning

confidence: 99%

Multi-scale 3D investigations of a commercial 18650 Li-ion battery with correlative electron- and X-ray microscopy

Gelb

Finegan

Brett

et al. 2017

Journal of Power Sources

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In the present study, a commercial 18650 Li-ion cylindrical cell is investigated with nondestructive 3D X-ray microscopy across a range of length scales, beginning with a survey of the entire cell and non-destructively enlarging a smaller section. Active materials are extracted from a disassembled cell and imaging performed using a combination of sub-micron X-ray microscopy and 2D scanning-electron microscopy, which point toward the need for multi-scale analysis in order to accurately characterize the cell. Furthermore, a small section is physically isolated for 3D nano-scale X-ray microscopy, which provides a measurement of porosity and enables the effective diffusivity and 3-dimensional tortuosities to be calculated via computer simulation. Finally, the 3D X-ray microscopy data is loaded into a correlative microscopy environment, where a representative sub-surface region is identified and, subsequently, analyzed using electron microscopy and energy-dispersive X-ray spectroscopy. The results of this study elucidate the microstructural characteristics and potential degradation mechanisms of a commercial NCA battery and, further, establish a technique for extracting the Bruggeman exponent for a real-world microstructure using correlative microscopy. IntroductionThere is considerable and growing research interest in Li-ion batteries driven largely by an increase in dependence on energy storage solutions, for applications ranging from mobile electronics to stationary power supplies and electric vehicles [1][2][3]. In the coming years, increasingly demanding applications from mW to MW, will require advanced Li-ion batteries to operate under extremes of temperature, rate, and pressure. Li-ion batteries are expected to deliver high performance, over long lifetimes, at a reduced cost as compared to existing solutions. With growing dependence on Li-ion technologies, in particular due to the growing popularity of hybrid-and fully-electric vehicles [2], it is of paramount importance to understand how batteries 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 perform, age, and degrade under real-world conditions [4,5]. Recent high profile failures have emphasized the need to better understand these processes [6][7][8]. *Manuscript text (with figures and captions embedded) -clean Click here to view linked ReferencesThere are a range of Li-ion battery architectures commercially available, such as pouch, prismatic, and spiral wound cells; by far the most common geometry is the 18650 cell, which has found diverse applications from consumer electronics [9] to aerospace equipment [10] and automotive power trains [11]. While the chemistry within these cells may vary, there are common components across most available commercial cells: the functional cell comprises two porous electrodes, electrically isolated by a porous separ...

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Section: X-ray Microscopymentioning

confidence: 99%

Multi-scale 3D investigations of a commercial 18650 Li-ion battery with correlative electron- and X-ray microscopy

Gelb

Finegan

Brett

et al. 2017

Journal of Power Sources

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“…A MicroTC fornece um mapa preciso da variação de absorção de raios-X em um objeto, independentemente de haver uma estrutura bem definida com diferentes fases, ou variações suaves do gradiente de densidade [15].…”

Section: A Microtomografia Computadorizada Por Raios-x (Microtc)unclassified

“…A redução destes anéis pode ser feita desde algoritmos que corrigem o sinograma das projeções até a própria calibração do detector [20]. A Figura 12 mostra um exemplo deste artefato [15]. …”

Section: Artefatos Na Reconstruçãounclassified

Aquisição, Processamento E Análise De Imagens 3d: Microtc E Fib-Sem Na Caracterização De Defeitos Em Solda Molhada

SILVA¹

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Este experimento também revelou o impacto da resolução espacial e do ruído sobre a possibilidade de detectar as trincas de forma acurada. 3D characterization is growing quickly in materials science due to the demands of better microstructural characterization, which cannot be fully achieved with the traditional 2D microscopy techniques. In this work, two types of 3D characterization techniques were employed: MicroCTmicrocomputed x-ray tomography (with both bench top and synchrotron sources) and FIB-SEM (focused ion beam coupled to SEM). These techniques were applied to a specific system: discontinuities in underwater wet welds. Palavras-chaveThese discontinuities (pores, cracks and inclusions) range in size from nanometers to tens of microns. Moreover, they present complex and varied shapes, spatial distribution and orientation. Thus, this thesis presents the development of methodology for the acquisition, processing, analysis and visualization of pores, cracks and inclusions in underwater wet welds, from images obtained by MicroCT and FIB-SEM. The acquisition techniques and conditions were optimized for the different kinds of discontinuities.Specialized routines for image processing and analysis were developed, employing a free software environment whenever possible (FIJI/ImageJ).Several measurements were automatically obtained: number of objects, volume, volume fraction, surface area, feret diameter, thickness, sphericity and compacity. Moreover, the rendering of 3D images allowed the observation of the shape and spatial distribution of the discontinuities in the weld metal.To evaluate the detection sensitivity of cracks by MicroCT, a specimen with varied cross-sections was submitted to a tensile test, so that the different sections were submitted to to different stress values. A positive correlation was observed between the stress value and the number, length and thickness of the detected cracks. This experiment also showed the influence of spatial resolution and noise upon the possibility of detecting cracks accurately.PUC-Rio -Certificação Digital Nº 1021528/CB 9

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“…X-ray computed tomography (CT) is a noninvasive and nondestructive imaging technique used for visualizing the internal structure of an object of interest [57]. Used widely through-out the medical and biological sciences, and more recently for engineering problems, CT maps out detailed fields of X-ray absorption within an object, thereby recording changes in its "material composition".…”

Section: Processing Of Tomographic Imagesmentioning

confidence: 99%

“…Used widely through-out the medical and biological sciences, and more recently for engineering problems, CT maps out detailed fields of X-ray absorption within an object, thereby recording changes in its "material composition". For problems involving porous media, high-resolution X-ray CT, also known as micro-computed tomography (µCT), is used to visualize microstructural features at high spatial and contrast resolution [57].…”

Section: Processing Of Tomographic Imagesmentioning

confidence: 99%

Simulating micorotransport in realistic porous media

Penha¹

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MicroComputed Tomography

Cited by 137 publications

References 0 publications

Multi-scale 3D investigations of a commercial 18650 Li-ion battery with correlative electron- and X-ray microscopy

Multi-scale 3D investigations of a commercial 18650 Li-ion battery with correlative electron- and X-ray microscopy

Aquisição, Processamento E Análise De Imagens 3d: Microtc E Fib-Sem Na Caracterização De Defeitos Em Solda Molhada

Simulating micorotransport in realistic porous media

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