Abstract

A digital reconstruction technique is presented that generates three-dimensional (3D) digital representations of ceramic foams created by the foam-gelcasting technique. The reconstruction process uses information that is directly extracted from Scanning Electron Microscopy (SEM) images and offers a 3D representation of the physical sample accounting for the typically large pore cavities and interconnecting windows that are formed during the preparation process. Contrary to typical tessellation-based foam treatments, a spherical representation of the pores and the pore windows of the foams is assumed and a novel hybrid algorithm that combines a variation of Lubachevsky-type and Random Close Packing of Hard Spheres (RCPHS) algorithms has been developed to obtain near-optimum solutions to the packing problem of the spheres that represent the pores. Numerical simulations are performed directly on the 3D reconstructed foams to determine their gas permeability. The model predictions are compared with experimental gas permeability data that were obtained for the physical samples. The pore wall thickness can be treated as the single fitting parameter in the entire reconstruction process, although it is shown that images of sufficient resolution could eliminate the need even for that. The foams that are produced by this method yield quantitatively similar pressure drops with experiments for various superficial velocity values, with a very small deviation in the range of 1.7–2.8%. The proposed methodology could be utilized for the prediction of the permeability and transport properties of complex foamy porous structures, similar to the gelcast-type of foams, from a single SEM image of the foam sample without resorting to serial tomography or other structural information, thus saving considerable time and effort from experimental work.

Highlights

  • Layered materials are widely available in nature and have been shown to exhibit new and technologically attractive properties when they undergo excessive thinning, delamination or exfoliation, in comparison to their bulk counterparts

  • A 3D reconstruction method was developed in this work, aiming at the stochastic digital representation of the internal structure of ceramic foams that are produced by the gelcast method using a single Scanning Electron Microscopy (SEM) foam image

  • The only fitting parameter that was employed was the thickness of the pore walls, while all other geometrical and topological factors were directly matched to the experimentally extracted ones from image processing

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Summary

Introduction

Layered materials are widely available in nature and have been shown to exhibit new and technologically attractive properties when they undergo excessive thinning, delamination or exfoliation, in comparison to their bulk counterparts. A wide variety of ceramic materials comprised of complex layered structures has appeared, such as MAX phases, characterized by the Mn+1 AXn (n = 1–3) chemical composition formula, where M is an early transition metal, A is an A-group element of the periodic table and X is either C or N [1]. Porous Ti2 AlC is considered a promising material for high-performance applications. It can act as an electrode material on rough chemical environments or be utilized as a solar volumetric collector. Highly porous Ti2 AlC foams can be used as molds for the production of metal-ceramic interpenetrating composite materials that are characterized by their increased damping properties

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