Published February 2014 | Version v1
Journal article

Three-dimensional characterization of the permeability of W–Cu composites using a new "TriBeam" technique

  • 1. Materials Department, University of California—Santa Barbara, Santa Barbara, CA 93106-5050 (United States)
  • 2. Defence Materials Technology Centre, Hawthorn, VIC 3122 (Australia)
  • 3. Chemical and Biomolecular Engineering, The University of Melbourne, Parkville, VIC 3010 (Australia)
  • 4. Institute of Materials Engineering, Australian Nuclear Science and Technology Organisation, Lucas Heights, NSW 2234 (Australia)

Description

Large three-dimensional microstructural datasets have been gathered for two W–Cu composites of 10 and 15 wt.% Cu using the TriBeam system via in situ femtosecond laser sectioning in a scanning electron microscope. Laser ablation was performed on W–Cu samples along a 90 ° edge, milling parallel with the imaging surface. Secondary electron images for 1000 two-dimensional slices were segmented into binary images representing Cu and W components using EM/MPM (expectation–maximization/maximization of the posterior marginals) image-processing algorithms. A statistically random volume sampling approach has been employed to evaluate the microstructural and property volume element sizes necessary for the assessment of volume fraction, surface-area to volume ratio and permeability, respectively. This approach also characterizes the mean values and variability in microstructure and properties for volume elements ranging from 10 μm to 160 μm on edge. The converged values of the volume fractions of Cu closely match experimental values measured by the Archimedes technique

Availability note (English)

Available from http://dx.doi.org/10.1016/j.actamat.2013.10.043

Additional details

Identifiers

DOI
10.1016/j.actamat.2013.10.043;
PII
S1359-6454(13)00806-9;

Publishing Information

Journal Title
Acta Materialia
Journal Volume
64
Journal Page Range
p. 307-315
ISSN
1359-6454
CODEN
ACMAFD

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
45038296
Subject category
S36: MATERIALS SCIENCE;
Descriptors DEI
IMAGE PROCESSING; LASERS; MICROSTRUCTURE; PERMEABILITY; SCANNING ELECTRON MICROSCOPY; SURFACE AREA
Descriptors DEC
ELECTRON MICROSCOPY; MICROSCOPY; PHYSICAL PROPERTIES; PROCESSING; SURFACE PROPERTIES

Optional Information

Copyright
Copyright (c) 2013 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.