Multi-objective optimisation for the micro-end milling process using principal component analysis technique

2014 ◽  
Vol 17 (4) ◽  
pp. 391
Author(s):  
PR. Periyanan ◽  
U. Natarajan ◽  
S.H. Yang
Keyword(s):  
Principal Component Analysis ◽  
End Milling ◽  
Principal Component ◽  
Component Analysis ◽  
Milling Process ◽  
Multi Objective ◽  
Analysis Technique ◽  
Micro End Milling ◽  
End Milling Process

Optimization of Tool Wear, Surface Roughness and Material Removal Rate in the Milling Process of Al 6061 Using Taguchi and Weighted Principal Component Analysis (WPCA)

2014 ◽  
Vol 493 ◽  
pp. 535-540 ◽  
Author(s):  
Laily Ulfiyah ◽  
Bambang Pramujati ◽  
Bobby Oedy Pramoedyo Soepangkat
Keyword(s):  
Principal Component Analysis ◽  
Taguchi Method ◽  
Material Removal ◽  
End Milling ◽  
Removal Rate ◽  
Principal Component ◽  
Milling Process ◽  
Performance Characteristics ◽  
Weighted Principal Component ◽  
End Milling Process

In the metal cutting industry, end milling has an important role in cutting metal to obtain the various required shapes and size. This study takes Al 6061 as working material and investigates three performance characteristics, i.e., tool wear (VB), surface roughness (Ra) and material removal rate (MRR), with Taguchi method and WPCA for determining the optimal parameters in the end milling process. The performance characteristic of MRR is larger-the-better while VB and Ra are having smaller-the-better performance characteristic. Based on Taguchi method, an L18 mixed-orthogonal array was chosen for the experiments. The optimization was conducted by using weighted principal component analysis (WPCA). As a result, the optimization of complicated multiple performance characteristics was transformed into the optimization of single response performance index. The most significant machining parameters which affected the multiple performance characteristics were type of milling operation, spindle speed, feed rate and depth of cut. Experimental result have also shown that machining performance characteristics of end milling process can improved effectively through the combination of Taguchi method and WPCA.

scholarly journals Silicon Photovoltaic Systems Performance Assessment Using the Principal Component Analysis Technique

2021 ◽  
Author(s):  
Hicham Lotfi ◽  
Mustapha Adar ◽  
Amin Bennouna ◽  
Driss Izbaim ◽  
Fatimazahra Oum'bark ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Performance Assessment ◽  
Principal Component ◽  
Component Analysis ◽  
Photovoltaic Systems ◽  
Analysis Technique
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