4.7 Article

Taguchi optimization of tribological properties and corrosion behavior of self-lubricating Al-Mg-Si/ MoS2 composite processed by powder metallurgy

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DOI: 10.1016/j.jmrt.2023.07.215

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Aluminum matrix composite; Powder metallurgy; Tribology; Corrosion; MoS 2

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This study prepared self-lubricating aluminum matrix composites using powder metallurgy technique and evaluated their wear, coefficient of friction, and corrosion resistance under different conditions. The results demonstrated that the addition of MoS2 reduced wear and coefficient of friction while improving corrosion resistance. The effects of load and reinforcement concentration were more significant.
Self-lubricating aluminum matrix composites (AMCs) can be used to reduce the wear and coefficient of friction (COF) in automotive engine components in which the use of liquid lubricants is not desirable. High temperatures accelerate the oxidation and thermal degradation of a liquid lubricant. In this study, we used powder metallurgy (PM) technique to prepare self-lubricant (MoS2)-based Al-Mg-Si AMCs, designated as Al-Mg-Si-xMoS2 (x in wt.%; x 1/4 1.5, 2.0, 30, 3.5, and 4.0). The dry sliding wear properties were assessed using a pin-on-disk tribometer at various applied loads (20-50 N) and sliding distances (1000-3000 m), based on the Taguchi model (L9). Furthermore, electrochemical corrosion tests such as open circuit potential (OCP) and potentiodynamic polarization (PDP) were performed in a 3.5 wt% NaCl medium. The morphology of the Al-Mg-Si-xMoS2 composites was observed through scanning electron microscopy and energy dispersive spectroscopy to clarify the particle distribution and chemical composition. The results indicated that the addition of MoS2 to Al-Mg-Si decreased the wear and COF and increased the corrosion resistance, compared with those of the pristine Al-Mg-Si matrix alloy under same operating conditions. As the sliding distance increased to 250 m, the COF fluctuated, but it stabilized as the distance approached 3000 m. The effects of the load and reinforcement concentration were more significant than those of the sliding distance and track diameter, as predicted by the Taguchi model and analysis of variance methods. & COPY; 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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