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Optimization of Tribological Behaviour of Aluminium Composite Using Grey Relational Analysis

K. S. Sridhar Raja, V. K. Bupesh Raja

Abstract


Aluminium metal matrix composite is a relatively new material that has proved its position in marine, automobile, aerospace and other engineering design applications due to its wear resistance and substantial high hardness. The present investigation deals with the study of wear and friction characteristics of aluminium A356-B4C Metal Matrix Composite (MMC) by varying the weight percentage of reinforcement particles, load, sliding speed, and distance travelled. Aluminium A356 matrix reinforced with boron carbide particle (size 104 microns) by varying its weight percentage was prepared by liquid metallurgy route. The wear loss and the coefficient of friction are found to decrease with increasing the weight percentage of boron carbide. The wear and frictional properties of the metal matrix composites are studied by performing dry sliding wear test using a pin-on-disc method based on optimised data obtained from Taguchi method and Grey Relational Analysis (GRA).L16 Taguchi orthogonal array was used for analysis of the data. An analysis of variance (ANOVA) was employed to investigate the influence the controlling parameters, viz., load, sliding speed,  the weight percentage of B4C, distanced travelled. It is observed that load significantly affects the dry sliding wear and friction of the composite. The optimal combination of the parameters was also obtained for achieving minimum wear and friction. The Scanning Electron Microscope (SEM) was used for analysing the wear topography of the composite.


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