4.7 Article

Fabrication, characterization, and mechanical properties of spark plasma sintered Al-BN nanoparticle composites

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.msea.2015.06.059

关键词

Composite materials; Spark plasma sintering; Structure; Tensile strength; Internal friction

资金

  1. Ministry of Education and Science of the Russian Federation, Russian Federation [K2-2015-001, 11.G34.31.0061, 11.1077.2014/K]

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Fabrication of high strength yet light and low cost composite materials with good mechanical properties at room and elevated temperatures is a challenge that metallurgy and materials science communities are facing for many years, and no dream material has been developed so far. The primary goal of this study was to fabricate, characterize, and to carry out tensile tests on Al-based composite materials strengthened with commercially-available BN nanoparticles (BNNPs). The composites were fabricated by spark plasma sintering (SPS) technique. The structures of powder mixtures and composite materials, as well as their fracture surfaces, were studied by scanning and transmission electron microscopy. The influence of BNNPs content (0.5, 1.5, 3, 4.5, 6, and 7.5 wt%) and holding times (5, 60, and 300 min) at 600 degrees C during SPS on the tensile strength was investigated. A maximum increase in strength was observed for Al-based composites with 4.5 wt% of BNNPs. The sample demonstrated a 50% increase in tensile strength compared with pristine Al. Although the tensile tests performed at 300 degrees C revealed that the tensile strength became 20% lower than the strength at room temperature, it was, however, still 75% higher compared with that of the pure Al at 300 degrees C. In addition, at 300 degrees C the Al-BNNPs composites demonstrated a much higher value of yield stress, about 115 MPa, which is 190% higher than that of pure Al at the same temperature. The damping properties of Al-BNNPs composites were evaluated by temperature dependent internal friction (TDIF) measurements. The obtained results are discussed based on structural analysis and the TDIF data. (C) 2015 Elsevier B.V. All rights reserved.

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