Optimization of mechanical wear resistance for recycled (Al-Mg-Si) reinforced SiC composite material using PM method

Abstract

Recently, the increasing demand for advanced materials around the world led to search on require and optimal materials characteristics. An alloy (Al-Mg-Si) named hindalium was used in this study which made from aluminum recycling (aluminums sandwich panel plates). In addition, powder technology was applied to investigate the effect of adding silicon carbide (SiC) particles on the composite properties that enter in fabricate of disc brake rotors. The main reason to use this technology is a single material cannot meet the demands of an extreme engineering setting that encourage towards necessitating the use of composites. Metal matrix composites are a type of material that has a lot of potential for components and structural applications that require a lot of unique modulus, strength, and durability as well as in the same time being light in weight. The composites materials of metal base with good properties are becoming now widely used in several industrial sectors due to their high mechanical properties and resistant to wear. Al-Mg-Si alloys are a common material category because of their inherent hardness, and corrosion resistance. The properties of hardness, wear rate, and microstructure are the physical and mechanical tests were performing in this study. It is indicated that the modeling with using a Genetic Algorithm is the best solution to choose the samples that have been prepared. According to the results, it was observed that the hardness increased by 14% at 15%SiC content and the wear rate decreased by 17% as comparing with the base alloy used in this study.

Keywords

• recycling
• hindalium
• optimization
• genetic
• composite
• wear