A novel approach to prepare aluminium-alloy foams reinforced by carbon-nanotubes

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abstract

This paper presents an innovative approach to prepare a new class of closed-cell reinforced (nanocomposite) metal-foams that synergistically explores the remarkable properties of both metal-foams and carbon-nanotubes. This approach combines colloidal-processing (including freeze-granulation-lyophilisation) and powder technology, ensuring the retention of the tubular-structure of -COOH-functionalised multiwall carbon nanotubes (MWCNTs-COOH) and their uniform distribution in the metal-matrix. The microstructural analysis revealed non-agglomerated, well-dispersed, stretched and directionally-aligned MWCNTs within the AI-matrix of the foams. These conditions potentiate the reinforcing role of MWCNTs with Vickers microhardness increments > 100%. (C) 2015 Elsevier B.V. All rights reserved.

keywords

MECHANICAL-PROPERTIES; MATRIX COMPOSITES

subject category

Materials Science; Physics

authors

Duarte, I; Ventura, E; Olhero, S; Ferreira, JMF

our authors

foto José Maria da Fonte Ferreira

José Maria da Fonte Ferreira

Retired Professor
foto Susana Maria Henriques Olhero

Susana Maria Henriques Olhero

Assistant Professor

Groups

G5 - Biomimetic, Biological and Living Materials

Projects

CICECO - Aveiro Institute of Materials (UID/CTM/50011/2013)

acknowledgements

This work was supported by TEMA (Centre for Mechanical Technology and Automation, www.ua.pt/tema < http://www.ua.pt/tema >) through the cost center CC/ID/CS/2.30.400.20.12; and by the European Regional Development Fund (FEDER) under the PT2020 Partnership Agreement through the COMPETE, by the Portuguese Government through the Portuguese Foundation for Science and Technology (FCT), in the scope of the projects UID/CTM/50011/2013 (Aveiro Institute of Materials, CICECO, www.ciceco.ua.pt < http://www.ciceco.ua.pt >).

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Publication Details

type
Journal Article
year
2015
journal
MATERIALS LETTERS
volume
160
publisher
ELSEVIER SCIENCE BV
issn
0167-577X
digital object identifier
10.1016/j.matlet.2015.07.115
web of science article identifier
WOS:000364880300043

Journal Metrics (JCR 2019)

Journal Impact Factor
3.204
Journal Impact Factor (5 yrs)
2.785
category normalized journal percentile
66.536

Citations

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