Geometrical characterization of perlite-metal syntactic foam
- 1. University of Maribor, Faculty of Mechanical Engineering, Smetanova ulica 17, 2000 Maribor (Slovenia)
- 2. The University of Newcastle, School of Engineering, University Drive, Callaghan, NSW 2308 (Australia)
Description
This paper introduces an improved method for the detailed geometrical characterization of perlite-metal syntactic foam. This novel metallic foam is created by infiltrating a packed bed of expanded perlite particles with liquid aluminium alloy. The geometry of the solidified metal is thus defined by the perlite particle shape, size and morphology. The method is based on a segmented micro-computed tomography data and allows for automated determination of the distributions of pore size, sphericity, orientation and location. The pore (i.e. particle) size distribution and pore orientation is determined by a multi-criteria k-nearest neighbour algorithm for pore identification. The results indicate a weak density gradient parallel to the casting direction and a slight preference of particle orientation perpendicular to the casting direction. - Highlights: •A new method for identification of pores in porous materials was developed. •It was applied on perlite-metal syntactic foam samples. •A porosity decrease in the axial direction of the samples was determined. •Pore shape analysis showed a high percentage of spherical pores. •Orientation analysis showed that more pores are oriented in the radial direction.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.matchar.2016.07.024Additional details
Identifiers
- DOI
- 10.1016/j.matchar.2016.07.024;
- PII
- S1044-5803(16)30225-X;
Publishing Information
- Journal Title
- Materials Characterization
- Journal Volume
- 119
- Journal Page Range
- p. 209-215
- ISSN
- 1044-5803
- CODEN
- MACHEX
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 49038931
- Subject category
- S36: MATERIALS SCIENCE;
- Descriptors DEI
- ALGORITHMS; ALUMINIUM ALLOYS; CASTING; COMPUTERIZED TOMOGRAPHY; DISTRIBUTION; FOAMS; IMAGE PROCESSING; IMAGES; LIQUIDS; MORPHOLOGY; ORIENTATION; PACKED BEDS; PARTICLE SIZE; PARTICLES; PERLITE; POROSITY; POROUS MATERIALS; SHAPE; SPHERICAL CONFIGURATION
- Descriptors DEC
- ALLOYS; COLLOIDS; CONFIGURATION; DIAGNOSTIC TECHNIQUES; DISPERSIONS; FABRICATION; FLUIDS; IGNEOUS ROCKS; MATERIALS; MATHEMATICAL LOGIC; PROCESSING; ROCKS; SIZE; TOMOGRAPHY; VOLCANIC ROCKS
Optional Information
- Copyright
- Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.