Abstract

Objective of study reported in this paper is finding the optimum cutting condition respected to surface roughness (Ra), flank wear (VB) and tool life (TL) when high speed turning of aluminum alloy using uncoated carbide. Turning test was carried out by full factorial design where cutting speed (v), feed (f) and depth of cut (a) were determined as the independent variables. The high level values were set as v 1250 m/min, f 0.15 mm/rev, a 1.2 mm and for the low level were v 1000 m/min, f 0.12 mm/rev, a 1 mm. By multiple-linear regression method, the data of response variables resulted from the testing was used to developed 3 (three) mathematical models of Ra, VB and TL. Those models, φ(v, f, a), were then used as the fitness functions for finding the optimum cutting condition using Multi Objective Genetic Algorithm (MOGA) method. The results of study show that the optimum cutting condition for gaining the best roughness is at v 1000 m/min, f 0.12 mm/rev and a 1.2 mm. At that cutting condition, Ra and TL are recorded at 1.22 microns and 2.32 minutes, respectively.

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