P.P. Shantharamana, V. Anandakrishnanb, S. Sathishc and M. Ravichandrand,e,*
aDepartment of Mechanical Engineering, Kings College of Engineering, Punalkulam-613303, Tamil Nadu, India
bDepartment of Production Engineering, National Institute of Technology, Tiruchirappalli-620 015, Tamil Nadu, India
cDepartment of Mechatronics Engineering, K.S.Rangasamy College of Technology, Tiruchengode - 637215, Tamil Nadu, India
dProfessor, Department of Mechanical Engineering, K Ramakrishnan College of Engineering, Damayapuram-621112, Tamil Nadu, India
eVisiting Professor, Department of Mechanical Engineering and University Centre for Research & Development, Chandigarh University, Mohali-140413, Punjab, India
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The Aluminium hybrid nano composite (Al-SiC-Yttria) was produced through powder metallurgy using Silicon Carbide (SiC) and Yttrium Oxide (Y2O3) as reinforcement particles. This work aims to arrive at the optimum Electric Discharge Machining (EDM) parameters for Al-SiC -Y2O3 hybrid nano composites. Current (I), Pulse on Time (PTon) and Pulse off Time (PToff) were selected as parameters and the influence on material removal (MR) and Surface roughness (SR) have been investigated. This work presents an experimental study to achieve optimal EDM parameters by employing Grey Relational Analysis (GRA). The dominance of process parameters on the response parameters were analysed using Analysis of Variance (ANOVA) as well. I: 5 A, PT on : 50 µs, and PToff : 20µs were found to be the optimal machining parameters for the EDM of Al-SiC-Y2O3 composites
Keywords: Aluminium nano composite, Silicon carbide, Yitria, Optimization, Taguchi grey relational analysis
2022; 23(5): 589-594
Published on Oct 31, 2022
dProfessor, Department of Mechanical Engineering, K Ramakrishnan College of Engineering, Damayapuram-621112, Tamil Nadu, India
eVisiting Professor, Department of Mechanical Engineering and University Centre for Research & Development, Chandigarh University, Mohali-140413, Punjab, India
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