Application of Signal-to-Noise (S/N) Ratios and ANOVA for the Prediction of Optimal Designs of Multiple Performance Characteristics

Abstract

In present days, Aluminum based particulate reinforced metal matrix composites have high
applications in aerospace, automobile, chemical and transportation industries because of
their improved strength, high elastic modulus and increased wear resistance over
conventional base alloys. In the present work aluminium metal matrix composite (LM24 +
SiC (5%)) is taken as the work piece and the experiments were conducted on CNC-wire
electric discharge machine. The experiments were planned as per the taguchi’s standard L27
OA for the selected process parameters of Pon, Poff and Ip at three different levels. Taguchi’s
Signal-to-Noise ratios and ANOVA are employed for the optimization of output
characteristics. The results concluded that Pon and Poff are the major influencing parameters
for material removal rate and surface roughness respectively. Finally, the optimal designs for
the responses were predicted and they found to be more accurate and adequate.