MULTI-OBJECTIVE OPTIMIZATION OF EDM PROCESS PARAMETERS USING RSM-BASED GRA AND TOPSIS METHOD FOR GRADE 6 TITANIUM ALLOY
Munmun Bhaumik,
Kalipada Maity () and
Kasinath Das Mohapatra ()
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Munmun Bhaumik: Department of Mechanical Engineering, Gayatri Vidya Parishad College for Degree and PG Courses (A), Andhra Pradesh 530045, India†Department of Mechanical Engineering, NIT Rourkela, Orissa 769008, India
Kalipada Maity: #x2020;Department of Mechanical Engineering, NIT Rourkela, Orissa 769008, India
Kasinath Das Mohapatra: #x2021;Department of Mechanical Engineering, College of Engineering and Technology, Orissa 751015, India
Surface Review and Letters (SRL), 2021, vol. 28, issue 07, 1-14
Abstract:
In this study, an attempt has been taken to find out the appropriate optimal parameter setting that will provide the best quality product depending on experimental data during Electro Discharge Machining (EDM) of Titanium grade 6 alloy with the help of brass electrode and to compare the optimized results achieved from two optimization techniques. For this study, Face Centered Central Composite Design- (FCCCD) based Response Surface Methodology (RSM) coupled with Technique for order of preference by similarity to ideal solution (TOPSIS) and Grey Relational Analysis (GRA) has been applied to optimize the process parameters i.e. gap voltage (Vg), peak current (IP), pulse on time (Ton), and duty cycle (Γ). Radial overcut (ROC), surface roughness (Ra), material removal rate (MRR) and tool wear rate (TWR) are selected as output performance characteristics. To find out the significant process parameters, Analysis of variance (ANOVA) test has been performed at 95% confidence level. For validation of the study, confirmation experiments have been performed at optimal parameters setting which show the enhancement of Relative Closeness Coefficient (Siw) up to 0.144082 using TOPSIS and Grey Relational Grade (GRG) up to 0.198014 using GRA, respectively.
Keywords: Electro discharge machining; grey relational analysis; response surface methodology; technique for order of preference by similarity to ideal solution; titanium grade 6 alloy (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1142/S0218625X21500621
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