ANALYSIS AND OPTIMIZATION OF MACHINING PARAMETER DURING TURNING OF A356/10%SiCp MMC USING RESPONSE SURFACE METHODOLOGY APPROACH. Issue 1 (November 2020)

• Record Type: Journal Article
• Authors: Seeman, M.; Sivaraj, P.; Seetharaman, R.; Ashok Kumar, I.
• Is Part Of: IOP conference series. Volume 961:Issue 1(2020)
• Publication Date: 2020-11
• Subjects: Particulate Aluminum Metal Matrix Composite (PAMMC) -- Response surface methodology (RSM) -- Analysis of Variance (ANOVA) -- Tool flank wear (VBmax) -- Surface roughness (Ra) -- Contour plots.; Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/961/1/012014
• Languages: English
• ISSNs: 1757-8981

Abstract

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.