Optimized Characterization of Aluminum - Graphene Metal Matrix Composites Using Powder Metallurgy Technique
Keywords:
Powder Metallurgy, Aluminum, Graphene, Wear, Hardness, Compression, SEMAbstract
Composite materials are combination of different constituent materials which can lead to the desired combination of low weight, High stiffness and strength. The composite material thus obtained has superior properties, than their parental ones. This includes increased strength, service temperature, improved wear resistance, and high toughness etc. Thus these materials become very attractive search for better reinforcement material among the scientific and engineering community. The work basically focuses on identifying reinforcement materials with better mechanical properties to satisfy various engineering applications. Graphene are found to be one such excellent reinforcing material which can improve properties of Aluminum Metal Matrix Composites significantly. Powder metallurgy is most popular and feasible route to prepare bulk composites. To achieve high densities sintering is used. Achieving uniform Graphene dispersion in metal matrix is main criteria for successful processing. Beside, included in this study composite characterization and compression, hardness, wear, scanning electron microscope (SEM). In recent years, powder metallurgical components are increasingly being utilized for automotive and structural applications. As compared to conventional casting techniques, Powder Metallurgy processing offers advantages such as lower processing temperature, near-net shaping, final density, greater material utilization and a more reinforced microstructure that provides superior material properties. In addition, Powder metallurgy products have greater micro structural homogeneity. The
project focuses to study of mechanical, tribological and characterization studies of graphene reinforced aluminum composites.
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Copyright (c) 2017 D.Hari Madhava Swamy, Dr. Manjunatha L.H, L B Bharath Raju, Santosh Madeva Naik

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.