Image-based modeling of the response of experimental 3D microstructures to mechanical loading

Lewis, A. C.; Geltmacher, Andrew B.

doi:10.1016/j.scriptamat.2006.01.043

Cited by 110 publications

(58 citation statements)

References 18 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

1,060

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

1,060

601

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“…With the three-dimensional reconstructions, image-based finiteelement modelling was performed to identify critical microstructural features in the mechanical response of the alloy. NRL developed mesh generation techniques to use the experimental data reconstructions as direct input into models [60]. Particular emphasis was placed on the identification of microstructural features that initiate localized plasticity under a range of applied loading conditions from uniaxial tension to biaxial tension and simple shearing, as shown in figure 7b.…”

Section: (C) Macromodel Analogues For Insight Into Three-dimensional mentioning

confidence: 99%

Computational aspects of steel fracturing pertinent to naval requirements

Matic

Geltmacher

Rath

2015

Phil. Trans. R. Soc. A.

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Modern high strength and ductile steels are a key element of US Navy ship structural technology. The development of these alloys spurred the development of modern structural integrity analysis methods over the past 70 years. Strength and ductility provided the designers and builders of navy surface ships and submarines with the opportunity to reduce ship structural weight, increase hull stiffness, increase damage resistance, improve construction practices and reduce maintenance costs. This paper reviews how analytical and computational tools, driving simulation methods and experimental techniques, were developed to provide ongoing insights into the material, damage and fracture characteristics of these alloys. The need to understand alloy fracture mechanics provided unique motivations to measure and model performance from structural to microstructural scales. This was done while accounting for the highly nonlinear behaviours of both materials and underlying fracture processes. Theoretical methods, data acquisition strategies, computational simulation and scientific imaging were applied to increasingly smaller scales and complex materials phenomena under deformation. Knowledge gained about fracture resistance was used to meet minimum fracture initiation, crack growth and crack arrest characteristics as part of overall structural integrity considerations.

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“…The art of formulating reconstruction algorithms has a long history in image and signal processing (77)(78)(79). Applications to material science have mostly addressed polycrystalline materials (e.g., References 5,[80][81][82][83][84]. Textiles contrast with alloys in that they comprise long, continuousfiber bundles of essentially infinite aspect ratio and interlaced in complex but systematic patterns.…”

Section: Virtual-specimen Generationmentioning

confidence: 99%

Stochastic Virtual Tests for High-Temperature Ceramic Matrix Composites

Cox

Bale

Begley

et al. 2014

Annu. Rev. Mater. Res.

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We review the development of virtual tests for high-temperature ceramic matrix composites with textile reinforcement. Success hinges on understanding the relationship between the microstructure of continuous-fiber composites, including its stochastic variability, and the evolution of damage events leading to failure. The virtual tests combine advanced experiments and theories to address physical, mathematical, and engineering aspects of material definition and failure prediction. Key new experiments include surface image correlation methods and synchrotron-based, micrometer-resolution 3D imaging, both executed at temperatures exceeding 1,500• C. Computational methods include new probabilistic algorithms for generating stochastic virtual specimens, as well as a new augmented finite element method that deals efficiently with arbitrary systems of crack initiation, bifurcation, and coalescence in heterogeneous materials. Conceptual advances include the use of topology to characterize stochastic microstructures. We discuss the challenge of predicting the probability of an extreme failure event in a computationally tractable manner while retaining the necessary physical detail. 17.1

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Image-based modeling of the response of experimental 3D microstructures to mechanical loading

Cited by 110 publications

References 18 publications

Quantitative X-ray tomography

Quantitative X-ray tomography

Computational aspects of steel fracturing pertinent to naval requirements

Stochastic Virtual Tests for High-Temperature Ceramic Matrix Composites

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