Please use this identifier to cite or link to this item: https://dr.ddn.upes.ac.in//xmlui/handle/123456789/1936
Title: Statistical Analysis of Process Parameters in Drilling of Al/Al2O3p Metal Matrix Composites
Authors: Singh, Yashvir
Singla, Amneesh
Kumar, Ajay
Keywords: Drilling
Issue Date: 2014
Citation: J. Manuf. Sci. Prod. 2014; 14(3): 171 – 175
Abstract: This paper presents a statistical analysis of process parameters for surface roughness in drilling of Al/Al2O3p metal matrix composite. The experimental studies were conducted under varying spindle speed, feed rate, point angle of drill. The settings of drilling parameters were determined by using Taguchi experimental design method. The level of importance of the drilling parameters is determined by using analysis of variance. The optimum drilling parameter combination was obtained by using the analysis of signal-to-noise ratio. Through statistical analysis of response variables and signal-to-noise ratios, the determined significant factors are depth of cut and drill point angle with the contributions of 87% and 12% respectively, whereas the cutting speed is insignificant contributing by 1% only. Confirmation tests verified that the selected optimal combination of process parameter through Taguchi design was able to achieve desired surface roughness.
URI: http://hdl.handle.net/123456789/1936
Appears in Collections:Published papers

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