RSM Modeling and Taguchi Analysis of EDM of B4C and Flyash Reinforced Hybrid Nanocomposites

Sweety Mahanta; Muthumari Chandrasekaran; Sutanu Samanta

doi:10.4028/www.scientific.net/KEM.801.227

Paper Titles

A Study on Heat Transfer Suppression Characteristics of Ferrofluid with Various Magnetic Field Intensities
p.199

Preparation and Characterization of NiO/YSZ and Ni/YSZ Porous Composite Electrodes Synthesized via Glycine-Nitrate Combustion Process
p.205

Liquid Capacitor Based on Hafnium Oxide
p.211

Modeling of Artificial Neural Network for the Prediction of Hole Taper and HAZ Width of Nd:YVO₄Laser Micro-Drilled Copper Sheet
p.219

RSM Modeling and Taguchi Analysis of EDM of B₄C and Flyash Reinforced Hybrid Nanocomposites
p.227

Homogenization and Extrudability of 5056 Aluminum Alloy Billet
p.233

Experimental Study on Pore-Defect by Selective Laser Melting of 316L Stainless Steel
p.239

Preliminary Study of Ultrasound-Assisted Laser Hardening of AISI H13 Tool Steel
p.245

Effect of Atmospheric Pressure Plasma Treatment of Glass Fibers on the Composite Strength of Endless Fiber-Reinforced Injection Molded Components
p.251

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RSM Modeling and Taguchi Analysis of EDM of B₄C and Flyash Reinforced Hybrid Nanocomposites

Abstract:

In this research work, EDM investigation of Al7075-B₄C-flyash hybrid metal matrix nanocomposites (HMMNCs) was performed. Taguchi method was used to improve the machinability coupled with response surface methodology (RSM) to estimate the relationship between the machining parameters and performance measures. Experiments were conducted using the L18 full-factorial design with a mixed orthogonal array. Analysis of variance (ANOVA) was used to determine the effects of the machining parameters viz. voltage (V), current (I), pulse-on-time (T_on) and pulse-off-time (T_off) on tool wear rate (TWR) and surface roughness (SR). The analysis results revealed that the current was the dominant factor affecting the performance measures (62.87% for TWR and 78.82% for SR). The RSM models show very close relation with the experimental and the predicted values with the R² values of 98.91% and 97.35% for TWR and SR respectively. The Taguchi method can effectively optimize the EDM parameters and confirmation test results showed the minimum error of 6.00% for TWR and 9.67% for SR.