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Effects of the deep rolling process on the surface roughness and properties of an Al−3vol%SiC nanoparticle nanocomposite fabricated by mechanical milling and hot extrusion

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Abstract

Deep rolling is one of the most widely used surface mechanical treatments among several methods used to generate compressive residual stress. This process is usually used for axisymmetric components and can lead to improvements of the surface quality, dimensional accuracy, and mechanical properties. In this study, we deduced the appropriate deep rolling parameters for Al−3vol%SiC nanocomposite samples using roughness and microhardness measurements. The nanocomposite samples were fabricated using a combination of mechanical milling, cold pressing, and hot extrusion techniques. Density measurements indicated acceptable densification of the samples, with no porosity. The results of tensile tests showed that the samples are sufficiently strong for the deep rolling process and also indicated near 50% improvement of tensile strength after incorporating SiC nanoparticle reinforcements. The effects of some important rolling parameters, including the penetration depth, rotation speed, feed rate, and the number of passes, on the surface quality and microhardness were also investigated. The results demonstrated that decreasing the feed rate and increasing the number of passes can lead to greater surface hardness and lower surface roughness.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran

    Sajjad Sattari & Amir Atrian

  2. Modern Manufacturing Technologies Research Center, Najafabad Branch, Islamic Azad University, Najafabad, Iran

    Sajjad Sattari & Amir Atrian

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  1. Sajjad Sattari
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  2. Amir Atrian
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Correspondence to Amir Atrian.

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Sattari, S., Atrian, A. Effects of the deep rolling process on the surface roughness and properties of an Al−3vol%SiC nanoparticle nanocomposite fabricated by mechanical milling and hot extrusion. Int J Miner Metall Mater 24, 814–825 (2017). https://doi.org/10.1007/s12613-017-1465-7

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  • DOI: https://doi.org/10.1007/s12613-017-1465-7

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