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Modeling of Dry Conditioned Sliding Wear and Friction Behavior of Heat-Treated Silicon Nitride Strengthened Al Metal Matrix Nanocomposites
In the presented work, the sliding wear under dry conditions and friction behaviour of Si<sub>3</sub>N<sub>4</sub> reinforced high-strength Aluminum alloy (AA)7068 nanocomposites have been investigated under various loads, sliding velocity, and rubbing distances. The fabrication of nanocomposites has been done by using the stir casting technique with the advancement of ultrasonication. Scanning electron microscope (SEM), Elemental mapping, and energy dispersive spectroscopy (EDS) are used to analyze the microstructure of prepared nanocomposites and worn surfaces. The wear resistance improves with the incorporation of Si<sub>3</sub>N<sub>4</sub> particles in Al 7068 alloy and further increases by increasing the weight % of reinforcement. The reinforcement is done by 0.5, 1, and 1.5 % Si<sub>3</sub>N<sub>4</sub> by weight. ANOVA reveals that sliding distance is the most dominating factor in the wear loss of samples, and load became the most influential parameter in the coefficient of friction (COF). Microstructure reveals grain boundaries become discontinued after T6 heat treatment. AMNCs containing 1.5wt.% Si<sub>3</sub>N<sub>4</sub> shows minimum wear loss compared to other nanocomposites and alloys.
Keywords
Aluminum Metal Matrix Nanocomposites, T6 Heat Treatment, Microstructure, Sliding Wear, Friction, Design of Experiment.
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- Joshua K J, Vijay S J & Selvaraj D P, Ceram. Int, 44 (2018) 20774.
- Prasad Reddy A, Vamsi Krishna P, & Rao R N, Silicon, 11 (2019) 2853.
- Wang M, Mater Sci Eng A, 590 (2014) 246.
- Velickovic S, Stojanovic B, Babic M & Bobic I, J Compos Mater, 51 (2017) 2505.
- Zhou J, Ceram. Int, 45 (2019) 13308.
- Suresh S, Gowd G H & Deva Kumar M. L. S, J Inst Eng Ser D, 100 (2019) 97.
- Liu R, Wang W, Chen H, Wan S, Zhang Y, & Yao R, J Alloys Compd, 788 (2019) 1056.
- Xu T, Li G, Xie M, & Liu M, J Alloys Compd, 787 (2019) 72.
- Akbari M K, Baharvandi H R, & Shirvanimoghaddam K, Mater Des, 66 (2015) 150.
- Kumar G B V, Panigrahy P P, Nithika S, Pramod R & Rao C S P, Compos Part B Eng, 175 (2019) 107138.
- Mohanavel V, Ali K S A, Prasath S, Sathish T & Ravichandran M, J Mater Res Technol, 9 (2020) 14662.
- Bhuvanesh D & Radhika N, J Eng Sci Technol, 12 (2017) 1295.
- Raj N & Radhika N, Silicon, 11 (2019) 947.
- Mistry J M & Gohil P P, Compos Part B Eng, 161 (2019) 190.
- Sharma N, Khanna R, Singh G & Kumar V, Part Sci Technol, 35 (2017) 731.
- Stalin B, Ramesh Kumar P, Ravichandran M, Siva Kumar M & Meignanamoorthy M, Mater Res Express, 6 (2019) 286.
- Alipour M & Eslami-Farsani R, Mater Sci Eng A, 706 (2017) 71.
- Diler E A & Ipek R, Compos Part B Eng, 50 (2013) 371.
- Ramesh C S, Keshavamurthy R, Channabasappa B H & Pramod S, Tribol Int, 43 (2010) 623.
- Archard J F, J Appl Phys, 24 (1953) 981.
- Ramesh C S, Keshavamurthy R, Channabasappa B H & Ahmed A, Mater Sci Eng A, 502 (2009) 99.
- Baradeswaran A & Elaya Perumal A, Compos Part B Eng, 54 (2013) 146.
- Ravindran P, Manisekar K, Narayanasamy P, Selvakumar N & Narayanasamy R, Mater Des, 39 (2012) 42.
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