Abstract
In this study, an effort has been made more complex multi performance optimization using Response Surface Methodology (RSM) based desirability approach while machining of Al/10%SiC Particulate Aluminum Metal Matrix Composite (PAMMC) produced through stir cast method. The effect of main cutting parameters like Cutting speed (V), Feed rate (F), Depth of cut (D) and Machining time (T) on the output responses of Tool flank wear (VBmax) and Surface roughness (Ra) were investigated. The most significant machining parameters were ascertained using analysis of variance (ANOVA). The contour plots are drawn for study effect cutting parameters and their interactions. From the study found that developed numberical model for tool flank wear and surface roughness is found to be adequate and used for predict the parameters within this experimental range.
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