Experimental investigation and parametric optimization of stir casting process parameters for aluminium metal matrix composite
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초록
Metal matrix composite (MMC) is a composite material with a dispersed phase in a metallic matrix. In this work, the stircasting process is employed to fabricate aluminium MMC. The process parameters selected for this work are squeezepressure, squeeze time, die preheating temperature and stirring speed. The optimization of the process parameters arecarried out with an objective of the maximization of the tensile strength, compressive strength and hardness. Thealuminium scrap particles are used as the matrix material and alumina powder is used as the reinforcing material and itis mixed with this matrix material after preheating the same in the fabrication of the MMC. Regression equation for theresponses, ANOVA analysis and grey relational coefficient are analysed and the Grey relational grade is determined byintegrating the grey relational coefficient of the response variable and ranking is done. The analysis of variance isperformed for the tensile strength, compressive strength and hardness and the R-square value are found to be 92.7%,94.89% and 98.98% respectively.
Abstract
Metal matrix composite (MMC) is a composite material with a dispersed phase in a metallic matrix. In this work, the stircasting process is employed to fabricate aluminium MMC. The process parameters selected for this work are squeezepressure, squeeze time, die preheating temperature and stirring speed. The optimization of the process parameters arecarried out with an objective of the maximization of the tensile strength, compressive strength and hardness. Thealuminium scrap particles are used as the matrix material and alumina powder is used as the reinforcing material and itis mixed with this matrix material after preheating the same in the fabrication of the MMC. Regression equation for theresponses, ANOVA analysis and grey relational coefficient are analysed and the Grey relational grade is determined byintegrating the grey relational coefficient of the response variable and ranking is done. The analysis of variance isperformed for the tensile strength, compressive strength and hardness and the R-square value are found to be 92.7%,94.89% and 98.98% respectively.
참고문헌 (19)
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