Characterization of hierarchical pore structures in ceramics using multiscale tomography

Tariq, Farid; Haswell, R.; Lee, Peter; McComb, David W.

doi:10.1016/j.actamat.2010.12.012

Cited by 56 publications

(43 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For the investigation of porous materials composed of light elements, at length scales down to 1 lm, X-ray phase contrast as accessible at synchrotron radiation facilities presents substantial advantages [9][10][11]. Therefore, X-ray absorption micro-tomography provides a unique opportunity for non-destructive study of the 3D porosity network.…”

Section: Introductionmentioning

confidence: 99%

Microstructure of out-of-pile annealed neutron irradiated beryllium studied by X-ray tomography

et al. 2015

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Microstructure of out-of-pile annealed neutron irradiated beryllium studied by X-ray tomography

et al. 2015

View full text Add to dashboard Cite

“…256 Often, 3D imaging is best considered as part of a multi-scale imaging strategy. For example, micro-CT has been powerfully complemented by FIB serial sectioning and electron tomography to characterise the pore structure in catalysts across four orders of magnitude 257 as well as clays. 258 Similarly taken together, X-ray and serial sectioning electron tomography can provide both time dependent information and high resolution microstructural information.…”

Section: Caveats and Cautionsmentioning

confidence: 99%

“…Most of the research focuses on the mechanical/deformation behaviour but other properties are also considered. Amongst the recent studies, some are dedicated to cellular materials in general, 362,[376][377][378][379][380] others focus on specific types of cellular materials including metals, 372,[381][382][383][384][385][386][387][388][389][390] ceramics, 257,[391][392][393][394] polymers, [395][396][397] carbon, 398 nuclear graphite 399 and even bread. 400 In some cases FE simulations have been run side by side with in situ deformation under CT observation to compare their predictive capability both locally on a strut-by-strut basis and globally in terms of Poisson's ratio and Young's modulus, for example for conventional versus auxetic open cell foams.…”

Section: Image Based Modelling Of Cellular/porous Materialsmentioning

confidence: 99%

Quantitative X-ray tomography

Maire¹,

Withers²

2013

International Materials Reviews

1,035

587

View full text Add to dashboard Cite

X-ray computer tomography (CT) is fast becoming an accepted tool within the materials science community for the acquisition of 3D images. Here the authors review the current state of the art as CT transforms from a qualitative diagnostic tool to a quantitative one. Our review considers first the image acquisition process, including the use of iterative reconstruction strategies suited to specific segmentation tasks and emerging methods that provide more insight (e.g. fast and high resolution imaging, crystallite (grain) imaging) than conventional attenuation based tomography. Methods and shortcomings of CT are examined for the quantification of 3D volumetric data to extract key topological parameters such as phase fractions, phase contiguity, and damage levels as well as density variations. As a non-destructive technique, CT is an ideal means of following structural development over time via time lapse sequences of 3D images (sometimes called 3D movies or 4D imaging). This includes information needed to optimise manufacturing processes, for example sintering or solidification, or to highlight the proclivity of specific degradation processes under service conditions, such as intergranular corrosion or fatigue crack growth. Besides the repeated application of static 3D image quantification to track such changes, digital volume correlation (DVC) and particle tracking (PT) methods are enabling the mapping of deformation in 3D over time. Finally the use of CT images is considered as the starting point for numerical modelling based on realistic microstructures, for example to predict flow through porous materials, the crystalline deformation of polycrystalline aggregates or the mechanical properties of composite materials.

show abstract

“…33,34 The 3D structure was additionally separated into particles based upon a three-dimensional watershed algorithm applied to a distance measurement. 35,36 Volume fractions, feature size and size distributions for each individual phase were calculated directly from the 3D reconstruction. The specific surface area was calculated inside the Amira 5.4.5. software using a triangular approximation based on the marching cubes algorithm.…”

Section: D Microstructure Analysismentioning

confidence: 99%

Microstructural evaluation of Ni-SDC cermet from a representative 2D image and/or a 3D reconstruction based on a stack of images

Kapun¹,

Marinšek²,

Merzel³

et al. 2017

Mater. Tehnol.

View full text Add to dashboard Cite

This work provides an in-depth discussion on the subject of deriving microstructural parameters from a realistic 2D image or a 3D volume reconstruction based on a stack of images. As a convenient model material, a nickel/samaria-doped-ceria (Ni-SDC) cermet synthetized by the citrate-nitrate combustion reaction is tested. Field-emission scanning electron microscopy (FE-SEM) for 2D microstructure evaluation or focused-ion-beam/scanning-electron-microscopy (FIB-SEM) for 3D imaging is used for the cermet characterization. Microstructural parameters, such as the volume ratio of phases, grain morphology, contiguity of phases and triple-point boundary density, are quantitatively evaluated. These microstructural parameters reveal that a 2D microstructural evaluation provides a relatively accurate and quick analytical approach. However, it is shown that a detailed microstructural quantification of the parameters that are closely related to transport phenomena and electrochemical reactions in a porous cermet is only possible through the three-dimensional (3D) quantitative material characterization. Based on the microstructural evaluation, optimization of the Ni-SDC material used is briefly discussed. Keywords: solid-oxide fuel cell, Ni-SDC anode, microstructure, FIB tomography Ni-SDC kermet (nikelj/cerijev oksid dopiran s samarijevim oksidom) je eden izmed najpogosteje uporabljenih anodnih materialov v gorivnih celicah s trdnim elektrolitom (angl. SOFC). Med pripravo materiala sodi tudi kvantitativno vrednotenje mikrostrukturnih parametrov kot so velikost in porazdelitev velikosti zrn, dele`i faz, kontinuitete, gostota trojnih to~k (angl. TPB), gostota materiala, itd. V tem prispevku`elimo primerjati dva razli~na na~ina analiziranja teh parametrov. Prva t.i. 2D metoda temelji na obdelavi slik, posnetih z vrsti~nim elektronskim mikroskopom s poljsko emisijo (SEM). Medtem, ko 3D metoda upo{teva 3D rekonstrukcijo vzorca iz slik s pomo~jo sistema s fokusiranim ionskim sklopom (FIB-SEM). Omenjeni mikrostrukturni parametri razkrivajo, da je 2D pristop razmeroma hiter in natan~en. Vendar se je izkazalo, da je za natan~nej{o kvantitativno analizo mikrostrukture, ki je tesno povezana s prenosom snovi in elektrokemijskimi reakcijami v anodnem materialu, potreben 3D pristop. Metodi sta bili ocenjeni glede na njuno te`avnost izvedbe in~asovno zahtevnost.

show abstract

Characterization of hierarchical pore structures in ceramics using multiscale tomography

Cited by 56 publications

References 35 publications

Microstructure of out-of-pile annealed neutron irradiated beryllium studied by X-ray tomography

Microstructure of out-of-pile annealed neutron irradiated beryllium studied by X-ray tomography

Quantitative X-ray tomography

Microstructural evaluation of Ni-SDC cermet from a representative 2D image and/or a 3D reconstruction based on a stack of images

Contact Info

Product

Resources

About