The Grey-Based Taguchi Method: Optimisation of Drilling of Hybrid Aluminum Matrix Composites

Abstract

The aim of this study was to investigate the influence of cutting parameters and effect of graphite rate on cutting force and surface roughness in drilling of Al/20%SiC/5%Gr, Al/20%SiC/7.5%Gr and Al /20%SiC/10%Gr hybrid composites, fabricated by vortex method. The drilling tests are conducted with diamond-like-carbon coated cutting tools. The Grey relational analysis based Taguchi optimization method was selected to determine the optimum cutting conditions. The results show that the spindle speed (4500 rpm), the rate of graphite (10%) and feed (0.1 mm/rev) were found to be significant parameters for surface roughness and cutting force. The predicted values from the developed model and experimental values are found to be very similar in this study.

On Multi-Objective Based Constitutive Modelling Methodology and Numerical Validation in Small-Hole Drilling of Al6063/SiCp Composites

“…An accurate and reliable set of J-C material parameters under various combination of strain rates and temperatures could give rise to similar chip morphologies and cutting forces to experimental observations in cutting [ 28 , 29 , 30 ]. The workpiece parts in contact with the drill from the lip and axis centre tend to experience a wide range of strains, strain rates, and temperatures.…”

“…Initialization and Update of Damping Factor For the updated L-M algorithm in Equation (19), can be specified arbitrarily in terms of fitted model. The initialization and update of can follow the criteria suggested by Marquardt [ 28 ]. …”

The Grey-Based Taguchi Method: Optimization of Milling of Mold Steel

“…Hence, it was possible to reach more comprehensive results while doing less experiment. In this sense, time and money have been used more efficiently [25][26][27][28]. While the only outcome is optimized in the Taguchi method, multiple outcomes can be optimized in a Grey relational analysis [28].…”

AISI 316 Ti Paslanmaz Çeliklerin İşleme Parametrelerinin Optimizasyonu

“…x k x k n     (11) Karar verme probleminde referans seri, kriterlerin alması istenen en büyük, en küçük ve en ideal değerler olarak seçilirse, karşılaştırması yapılacak faktör serinin referans seriye göre hesaplanacak gri ilişkisel derecesi kriterleri yakalama seviyesinin bir göstergesi olacaktır. Diğer bir deyişle gri ilişkisel derecesi en yüksek olan faktör serisi (alternatif) karar verme probleminde en iyi karar verme alternatifini gösterecektir [25][26][27][28].…”