Polycrystal model of the mechanical behavior of a Mo–TiC30 vol.% metal–ceramic composite using a three-dimensional microstructure map obtained by dual beam focused ion beam scanning electron microscopy

Cédat, Denis; Fandeur, Olivier; Rey, Colette; Raabe, Dierk

doi:10.1016/j.actamat.2011.11.055

Cited by 21 publications

(10 citation statements)

References 25 publications

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“…In the past, representative microstructures have been generated numerically 364 or by successive EBSD acquisition and destructive layer removal, [433][434][435][436][437] but this is time consuming, destructive and can only map a small volume.…”

Section: Polycrystal Propertiesmentioning

confidence: 99%

Quantitative X-ray tomography

Maire¹,

Withers²

2013

International Materials Reviews

1,089

601

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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.

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Section: Polycrystal Propertiesmentioning

confidence: 99%

Quantitative X-ray tomography

Maire¹,

Withers²

2013

International Materials Reviews

1,089

601

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“…These terms will again be inversely proportional to the characteristic distance of the corresponding work-hardening mechanism. A crystal plasticity model which includes grain size influence is developed in [31] while twinning is included by its characteristic distance in [32]. The "characteristic length" approach was extended even to the influence of phase transformations on the work hardening [33].…”

Section: Introductionmentioning

confidence: 99%

A microstructure-based yield stress and work-hardening model for textured 6xxx aluminium alloys

Khadyko

Myhr

Dumoulin

et al. 2016

Philosophical Magazine

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“…For example, microstructure reconstructions permit a way to evaluate, in the case of multiphase materials, the phase connectivity and associated influence on the macroscopic behavior and damage/fracture processes ( Fig. 4) [117]. While the experimental approach is well established, the 3-D reconstruction and the fine-scale definition of grain and phase interfaces are still difficult.…”

Section: -D Reconstructionmentioning

confidence: 99%

Review of the synergies between computational modeling and experimental characterization of materials across length scales

et al. 2015

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With the increasing interplay between experimental and computational approaches at multiple length scales, new research directions are emerging in materials science and computational mechanics. Such cooperative interactions find many applications in the development, characterization and design of complex material systems. This manuscript provides a broad and comprehensive overview of recent trends where predictive modeling capabilities are developed in conjunction with experiments and advanced characterization to gain a greater insight into structure-properties relationships and study various physical phenomena and mechanisms. The focus of this review is on the intersections of multiscale materials experiments and modeling relevant to the materials mechanics community. After a general discussion on the perspective from various communities, the article focuses on the latest experimental and theoretical opportunities. Emphasis is given to the role of experiments in multiscale models, including insights into how computations can be used as discovery tools for materials engineering, rather than to "simply" support experimental work. This is illustrated by examples from several application areas on structural materials. This manuscript ends with a discussion on some problems and open scientific questions that are being

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Polycrystal model of the mechanical behavior of a Mo–TiC30 vol.% metal–ceramic composite using a three-dimensional microstructure map obtained by dual beam focused ion beam scanning electron microscopy

Cited by 21 publications

References 25 publications

Quantitative X-ray tomography

Quantitative X-ray tomography

A microstructure-based yield stress and work-hardening model for textured 6xxx aluminium alloys

Review of the synergies between computational modeling and experimental characterization of materials across length scales

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