CORRELATION OF SURFACE ROUGHNESS PARAMETERS WITH OPERATIONAL VARIABLES IN TURNING OF A NEW ALUMINUM MATRIX STEEL PARTICULATE COMPOSITE: A MULTI-PARAMETER ANALYSIS (original) (raw)

Present study concerns with a multi-parameter experimental and statistical analysis of surface texture in turning of stainless steel flakes reinforced cast aluminum matrix particulate composite (AMPC). Spindle speed, n (rpm) and feed rate, f (mm/rev) were assigned to an L9 Taguchi orthogonal array as independent variables whilst depth of cut was kept constant. The response/output (performance characteristic) was an increased number of surface roughness parameters including amplitude, hybrid, statistical and fractal ones. The multi-parameter analysis of surface finish was selected since the evaluation of the roughness with one or two only parameter is ambiguous. The correlation of these parameters with the machining conditions was investigated. Then, statistical analysis and was applied to quantitatively allow exploration of the effect which each machining input yields on roughness outputs. Regression equations were constructed then, in order to develop prediction models with the possible lower estimation error.