The Effect of Turning Parameters on the Surface Roughness of Aluminium Alloy Components
Keywords:
Taguchi design, Design of Experiment, Genetic Algorithm and OptimizationAbstract
The greatest advantage of using hard turning is the reduced machining time and complexity required to manufacture metal parts. This detailed experimental study has been conducted using Taguchi design in the Design of Experiments (DoE) on Computer Numerical Controlled (CNC) lathe machine process. The machining process is studied under operating conditions with factors at three levels. The machining process on CNC lathe is programmed by speed, feed and depth of cut. In order to obtain a good surface finish on the aluminium alloy component, low cutting speed, lower feed rate and high depth of cut where all carried out on the CNC lathe machine under dry conditions. The prediction model developed by the multilinear regression technique is adequate with a statistical adjusted R2 value of 98.59%. The results of optimization from the Genetic algorithm shows that the cutting speed, feed rate and depth of cut are 45m/min, 0.3mm/rev and 3.0mm respectively. The result yielded surface roughness fitness value of 0.98µm.
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