Integrated Study of Al-MMC Reinforced with SiC and TiO2: Advancements in Mechanical Properties, SEM Analysis, and Structural Suitability for Wind Turbine Applications
R. Ravichandaran, G. Mahesh, A. Bovas Herbert Bejaxhin, N. Ramanan
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引用次数: 0
Abstract
In this study, aluminum-based metal matrix composites (MMCs) were fabricated with varying compositions of SiC and TiO2 reinforcements using the stir casting method. Three different compositions were examined: 98% Al6061 alloy, 1% SiC, and 1% TiO2; 96% Al 6061 alloy, 2% SiC, and 2% TiO2; and 94% Al alloy, 3% SiC, and 3% TiO2. These MMCs were evaluated for their mechanical behavior and microstructure in terms of tensile, flexural, and impact strength. Scanning electron microscopy (SEM) analysis revealed a uniform distribution of reinforcements, while also indicating an uneven dispersion of SiC particles within the Al matrix. Tensile testing displayed an ultimate strength of 160.06 MPa, an elongation of 6.63%, and a hardness of 96.5 for the sample with the composition of 94% Al, 3% SiC, and 3% TiO2. For the composition of 96% Al alloy, 2% SiC, and 2% TiO2, the highest flexural strength of 6.57 kN, notable impact strength of 6 J, and a hardness value of 93.68 were achieved. Atomic force microscopy (AFM) was employed to analyze surface morphology. These results demonstrate the potential of these MMCs for practical applications due to their improved properties compared to commercially available composites. The study highlights the tailored mechanical attributes of metal matrix composites, showcasing their strength, stiffness, fatigue resistance, and corrosion resistance. Such systematic analyses aid in the development of more efficient and dependable structures for wind turbine applications.
期刊介绍:
Journal of Machinery Manufacture and Reliability is devoted to advances in machine design; CAD/CAM; experimental mechanics of machines, machine life expectancy, and reliability studies; machine dynamics and kinematics; vibration, acoustics, and stress/strain; wear resistance engineering; real-time machine operation diagnostics; robotic systems; new materials and manufacturing processes, and other topics.