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Publication Type : Journal Article
Publisher : Journal of Tribology, American Society of Mechanical Engineers (ASME)
Source : Journal of Tribology, American Society of Mechanical Engineers (ASME), Volume 137, Number 3 (2015)
Keywords : Abrasion, Abrasive wear behavior, Abrasives, Analysis of variance (ANOVA), Centrifugal casting, Experimental investigations, Functionally graded composites, Hardness, Horizontal centrifugal castings, Metallic matrix composites, Microhardness tester, Microstructural evaluation, Regression analysis, Reinforcement, Reinforcement particles, scanning electron microscopy, Signal to noise ratio, Three body abrasive wear, Tribology, Wear of materials
Campus : Coimbatore
School : School of Engineering
Department : Mechanical Engineering
Year : 2015
Abstract : pFunctionally graded Al-Si12Cu/10 wt.% B4Cp metal matrix composite (MMC) has been fabricated under stir casting process followed by horizontal centrifugal casting method. The casting of length 170 mm, outer diameter 160 mm, and thickness 16 mm was obtained under the centrifugal speed of 1000 rev min-1. The microstructural evaluation was carried out on the surfaces at distance of 3, 6, 9, and 11 mm from the outer periphery of the casting to ensure the distribution of reinforcement particles, and the surfaces at same distance were tested for its hardness using microhardness tester. The microstructural results revealed that surface at a distance of 3 mm from the outer periphery has reinforcement concentration of 32% and surface at a distance of 11 mm has reinforcement concentration of 3%. The hardness of the surface was improved considerably according to the reinforcement concentration. The three-body abrasive wear test was conducted on the composite specimens as per L16 orthogonal array for parameters such as the load, speed, time, and reinforcement concentration. Each parameter was varied for four levels and the optimum level of each parameter was found out through signal-to-noise ratio analysis using smaller-the-better characteristics. The signal-to-noise ratio analysis revealed that load was the dominant parameter on the abrasive wear behavior followed by reinforcement concentration, speed, and time. The analysis of variance (ANOVA) result indicates the parameter that affects the response significantly and results were agreed with signal-to-noise ratio analysis. The regression equation was developed and results were validated using confirmation experiments. The worn-out surfaces were examined using scanning electron microscope (SEM) for observing the wear mechanism. Copyright © 2015 by ASME./p
Cite this Research Publication : Dr. Radhika N and Raghu, R., “Experimental investigation on abrasive wear behavior of functionally graded aluminum composite”, Journal of Tribology, vol. 137, 2015.