Multi-Characteristics Optimization During Turning of 6063 T6 Aluminium Alloy Using Weighted Principal Component Analysis


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Abstract


This paper presents an ideal approach for the optimization of machining parameters on turning of 6063 T6 aluminium alloy with multiple responses based on orthogonal array with weighted principal component analysis (WPCA). Experiments are conducted on 6063 T6 aluminium alloy. Turning tests are carried out using uncoated carbide insert under dry cutting condition. In this study, turning parameters namely cutting speed, feed rate and depth of cut are optimized with the considerations of multi responses such as surface roughness (Ra) and material removal rate (MRR). For a multi-response case, WPCA was employed to transform the correlated responses to a set of uncorrelated components and then to evaluate the principal components. Based on the multi-response performance indicator (MPI), optimum levels of parameters have been identified and significant contribution of parameters is determined by ANOVA. Confirmation test is conducted to validate the test result.
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Keywords


ANOVA; Optimization; Orthogonal Array; Turning; Weighted Principal Component Analysis

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References


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