Nanoporous Au: Statistical analysis of morphological features and evaluation of their influence on the elastic deformation behavior by phenomenological modeling

Pia, Giorgio; Delogu, Francesco

doi:10.1016/j.actamat.2014.11.040

Cited by 35 publications

(30 citation statements)

References 36 publications

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“…More refined modeling approaches have been recently developed in the attempt of tackling the Ashby and Gibson's model limitations [15,[29][30][31]. The results obtained show that a more realistic description of ligaments as thick beams, and the use of relatively massive nodes, enables improved predictions.…”

Section: Nanoporousmentioning

confidence: 70%

Coarsening of nanoporous Au: Relationship between structure and mechanical properties

Pia

Delogu

2015

Acta Materialia

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Section: Nanoporousmentioning

confidence: 70%

Coarsening of nanoporous Au: Relationship between structure and mechanical properties

Pia

Delogu

2015

Acta Materialia

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“…Concerning the parametrization of the contour of the ligaments, several papers state that a minimum diameter can be observed roughly in the middle, with increasing diameter approaching the nodes [28,41]. Pia et al [28] analyzed SEM images by fitting a parabolic function of the form to the ligament shape visible in 2D images.…”

Section: Ligament Shape Distributionmentioning

confidence: 99%

“…They consider the nodes as spherical [6,18,23] or cubic [25,28] volume extending from the connecting junctions, and the ligaments as the volume between these nodes. In this work, the nodal volume corresponds to the biggest sphere containing the according junction-voxel, as it is fit into the structure by the FIJI "Thickness" plugin [38].…”

Section: Ligament Shape Distributionmentioning

confidence: 99%

“…Pia et al [28] analyzed SEM images by fitting a parabolic function of the form to the ligament shape visible in 2D images.…”

Section: Ligament Shape Distributionmentioning

confidence: 99%

“…Furthermore, the whole set of connected ligaments will be analyzed with respect to the shape distribution. Such work was done previously by Pia et al [28] based on 2D SEM images by visual fitting parabolic ligament shapes. Here, the 3D dataset provides full information and ligament shapes are not limited to a prior chosen approximating function.…”

Section: Introductionmentioning

confidence: 99%

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Skeletonization, Geometrical Analysis, and Finite Element Modeling of Nanoporous Gold Based on 3D Tomography Data

Richert

Huber

2018

Metals

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Abstract:Various modeling approaches simplify and parametrize the complex network structure of nanoporous gold (NPG) for studying the structure-property relationship based on artificially generated structures. This paper presents a computational efficient and versatile finite element method (FEM) beam model that is based on skeletonization and diameter information derived from the original 3D focused ion beam-scanning electron microscope (FIB-SEM) tomography data of NPG. The geometrical skeleton network is thoroughly examined for a better understanding of the NPG structure. A skeleton FEM beam model is derived that can predict the macroscopic mechanical behavior of the material. Comparisons between the mechanical response of this skeleton beam model and a solid FEM model are conducted. Results showed that the biggest-sphere diameter algorithm implemented in the open-source software FIJI, commonly used for geometrical analysis of microstructural data, overestimates the diameter of the curved NPG ligaments. The larger diameters lead to a significant overestimation of macroscopic stiffness and strength by the skeleton FEM beam model. For a parabolic shaped ligament with only 20% variation in its diameter, a factor of more than two was found in stiffness. It is concluded that improved algorithms for image processing are needed that provide accurate diameter information along the ligament axis.

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Corrosion‐Induced Strengthening: Development of High‐Strength Nanoporous Metals

Jin

2015

Adv Eng Mater

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Replacing parts of a solid with voids usually weakens a material. Here, we report that a material (Au–Pt–Ag alloy) becomes stronger by 7 times, its strength increases from 50 to 345 MPa, when ≈40% of solids (Ag) is dissolved and replaced by pores during dealloying. The corrosion‐induced strengthening originates from the formation of nanoporous structure, and the high strength of nanoscale ligaments due to size effect. The results also suggest that the connectivity of nanoporous structure decreases during coarsening, leading to additional decreases in strength and stiffness, which may explain the unexpected low strength and stiffness of previously reported nanoporous gold.

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Nanoporous Au: Statistical analysis of morphological features and evaluation of their influence on the elastic deformation behavior by phenomenological modeling

Cited by 35 publications

References 36 publications

Coarsening of nanoporous Au: Relationship between structure and mechanical properties

Coarsening of nanoporous Au: Relationship between structure and mechanical properties

Skeletonization, Geometrical Analysis, and Finite Element Modeling of Nanoporous Gold Based on 3D Tomography Data

Corrosion‐Induced Strengthening: Development of High‐Strength Nanoporous Metals

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