High accuracy interface characterization of three phase material systems in three dimensions

Jørgensen, Peter Stanley; Larsen, Rasmus; Bowen, Jacob R.

doi:10.1016/j.jpowsour.2010.06.083

Cited by 26 publications

(21 citation statements)

References 15 publications

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“…The raw volumes (the pristine dataset is available here DOI: 10.5281/zenodo.1040274) were segmented using a 2D (intensity vs. intensity gradient magnitude) histogram thresholding procedure. Microstructural quantitative characterization of particle sizes, interfaces and pathway characteristics were calculated as described elsewhere [37,38] . In Table 1, the connected phase 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 6 fraction, is the fraction of each phase that has a connecting pathway to all 6 sides of the data cuboid.…”

Section: Segmentation Registration and Microstructural Quantificationmentioning

confidence: 99%

Three dimensional characterization of nickel coarsening in solid oxide cells via ex-situ ptychographic nano-tomography

Angelis

Jørgensen

Tsai

et al. 2018

Journal of Power Sources

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J. R. (2018). Three dimensional characterization of nickel coarsening in solid oxide cells via ex-situ ptychographic nano-tomography. Journal of Power Sources, 383, 72-79. https://doi. AbstractNickel coarsening is considered a significant cause of solid oxide cell (SOC) performance degradation.Therefore, understanding the morphological changes in the nickel-yttria stabilized zirconia (Ni-YSZ) fuel electrode is crucial for the wide spread usage of SOC technology. This paper reports a study of the initial 3D microstructure evolution of a SOC analyzed in the pristine state and after 3 and 8 hours of annealing at 850 °C, in dry hydrogen. The analysis of the evolution of the same location of the electrode shows a substantial change of the nickel and pore network during the first 3 hours of treatment, while only negligible changes are observed after 8 hours. The nickel coarsening results in loss of connectivity in the nickel network, reduced nickel specific surface area and decreased total triple phase boundary density. For the condition of this experiment, nickel coarsening is shown to be predominantly curvature driven, and changes in the electrode microstructure parameters are discussed in terms of local microstructural evolution.

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Section: Segmentation Registration and Microstructural Quantificationmentioning

confidence: 99%

Three dimensional characterization of nickel coarsening in solid oxide cells via ex-situ ptychographic nano-tomography

Angelis

Jørgensen

Tsai

et al. 2018

Journal of Power Sources

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“…TPB density and interface areas were calculated using the method described in [9]. The method described in [17] was used to calculate the continuous Particle Size Distributions (PSD).…”

Section: Tpb Density and Continuous Particle Size Distributionmentioning

confidence: 99%

“…The TPB sites are identified during the TPB density calculation [9] as those voxels that share a TPB edge.…”

Section: Tpb Tortuositymentioning

confidence: 99%

“…Using techniques such as focused ion beam tomography [1][2][3] or X-ray tomography [4][5][6] a part of the 3D microstructure of an electrode can be digitally reconstructed for computational analysis. Much effort has been focused on quantifying both the density of the TPBs and whether those TPBs have percolating pathways to the relevant sources/destinations [7][8][9][10][11]. Considerable work has also been done in describing the internal structure of the networks of each phase to ultimately be able to predict the effective transport properties of each phase.…”

Section: Introductionmentioning

confidence: 99%

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Triple phase boundary specific pathway analysis for quantitative characterization of solid oxide cell electrode microstructure

Jørgensen

Ebbehøj

2015

Journal of Power Sources

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“…each voxel is labeled according to the material phase it represents. Thereafter, structural parameters can be measured in the segmented data [4], and geometries can be extracted for simulation of physical properties. This way, the quality of the segmentation is directly affecting the accuracy of the estimated material parameters [5].…”

Section: Introductionmentioning

confidence: 99%

A Physical Model for Microstructural Characterization and Segmentation of 3D Tomography Data

Brenne,

Dahl,

Jørgensen

2020

Preprint

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We present a novel method for characterizing the microstructure of a material from volumetric datasets such as 3D image data from computed tomography (CT). The method is based on a new statistical model for the distribution of voxel intensities and gradient magnitudes, incorporating prior knowledge about the physical nature of the imaging process. It allows for direct quantification of parameters of the imaged sample like volume fractions, interface areas and material density, and parameters related to the imaging process like image resolution and noise levels.Existing methods for characterization from 3D images often require segmentation of the data, a procedure where each voxel is labeled according to the best guess of which material it represents. Through our approach, the segmentation step is circumvented so that errors and computational costs related to this part of the image processing pipeline are avoided. Instead, the material parameters are quantified through their known relation to parameters of our model which is fitted directly to the raw, unsegmented data. We present an automated model fitting procedure that gives reproducible results without human bias and enables automatic analysis of large sets of tomograms.For more complex structure analysis questions, a segmentation is still beneficial. We show that our model can be used as input to existing probabilistic methods, providing a segmentation that is based on the physics of the imaged sample. Because our model accounts for mixed-material voxels stemming from blurring inherent to the imaging technique, we reduce the errors that other methods can create at interfaces between materials.

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High accuracy interface characterization of three phase material systems in three dimensions

Cited by 26 publications

References 15 publications

Three dimensional characterization of nickel coarsening in solid oxide cells via ex-situ ptychographic nano-tomography

Three dimensional characterization of nickel coarsening in solid oxide cells via ex-situ ptychographic nano-tomography

Triple phase boundary specific pathway analysis for quantitative characterization of solid oxide cell electrode microstructure

A Physical Model for Microstructural Characterization and Segmentation of 3D Tomography Data

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