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- W4224072022 abstract "In this work, Response Surface Methodology (RSM) based multiple performance analysis was used to investigate in detail about the influences of most dominating machining process parameters on responses like thrust force and surface roughness in the drilling of aluminium metal matrix composites developed through powder metallurgy process. Cylindrical specimens of Al 2219 aluminium alloy with silicon carbide particulates of average particle size 23, 37 and 67 µm as reinforcement are used in the experiment. Drilling test was carried out using poly crystalline diamond (PCD) coated solid tungsten carbide drill of diameter 5 mm at normal atmospheric conditions and different combinations of machining conditions. The RSM based multiple performance analysis was carried out to develop the input output relationships of the machining process parameters. The developed mathematical models were subjected to test their capability using analysis of variance (ANOVA). The main and interaction effect of the input variables on the responses was also investigated. The entire adequacy R2 has been more than 95%, which is within the desirable limit and indicate that the model is accurate and fit." @default.
- W4224072022 created "2022-04-19" @default.
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- W4224072022 date "2022-01-01" @default.
- W4224072022 modified "2023-09-25" @default.
- W4224072022 title "Multiple regression analysis on drilling performance of Al 2219 – SiCp metal matrix composite by Response surface Methodology (RSM) technique" @default.
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- W4224072022 doi "https://doi.org/10.1016/j.matpr.2022.04.041" @default.
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