Multi-Objective Optimization in WEDM Process of Titanium Alloy (Ti-3Al-2.5V-2.0WC) using Desirability Approach
Authors
-
Department of Mechanical Engineering, Pollachi Institute of Engineering and Technology, Coimbatore – 642205, Tamil Nadu ,IN
P. Muthusamy -
Department of Mechanical Engineering, Tagore Institute of Engineering and Technology, Deviyakurichi, Salem – 636112 ,INPrasanth Ponnusamy
-
Department of Mechatronics Engineering, School of Mechanical Engineering, REVA University, Bengaluru, Karnataka – 560064 ,INA. G. Karthikeyan
-
Department of Mechanical Engineering, Bapatla Engineering College, Bapatla – 522102, Andhra Pradesh ,INBeporam Iftekhar Hussain
DOI:
https://doi.org/10.18311/jmmf/2023/40600Keywords:
Desirability Approach, MRR and SR, Titanium Alloy, WEDM ProcessAbstract
Recently, Titanium alloy (Ti-3Al-2.5V) reinforced with Tungsten Carbide (Ti-3Al-2.5V-2.0WC) developed using the microwave sintering process has plays a major role in mining industry. It has very good mechanical property and corrosion resistance. Due to its better strength and high melting point, it is difficult to machine in conventional machining process. Therefore, WEDM process give the solution to cut this high strength material in an effective manner. In this present work, the WEDM input variables such as Servo Voltage (SV), Pulse Time - On (PT-ON), Pulse Time – Off (PT-OFF) and Cutting Speed Percentage (CSP) are considered. L09 Orthogonal Array Matrix (OAM) is considered for experimental work. The output variables like Material Removal Rate (MRR) and Surface Roughness (SR) are considered to obtained the quality machining process. Multi objective optimization technique like Taguchi-Desirability Approach method is implemented to find the optimum input variables. The Improvement of MRR from 0.05978 g/min to 0.06420 g/min and SR from 3.812 μm to 3.452 μm are obtained using Desirability Approach.
Downloads
Metrics
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
References
Prasad AVSR, Koona R, Datta GL. An experimental study of wire EDM on Ti-6Al-4V alloy. Proc Mater Sci. 2014; 5:2567-76. https://doi.org/10.1016/j.mspro.2014.07.517 DOI: https://doi.org/10.1016/j.mspro.2014.07.517
Rao TL, Selvaraj N. Optimization of WEDM process parameters on Titanium alloy using Taguchi method. Int J Mod Eng Res. 2013; 3:2281-6.
Saedon JB. Multi-objective optimization of titanium alloy through orthogonal array and grey relational analysis in WEDM. Proc Technol. 2014; 15:832-40. https:// doi.org/10.1016/j.protcy.2014.09.057 DOI: https://doi.org/10.1016/j.protcy.2014.09.057
Ramamurthy A, Sivaramakrishnan R, Muthuramalingamc T. Taguchi-grey computation methodology for optimum multiple performance measures on machining titanium alloy in WEDM process. Ind J Eng Mater Sci. 2015; 22:181-6.
Abinesh P, Varatharajan K, Kumar G. Optimization of process parameters influencing MRR, surface roughness and electrode wear during machining of Titanium alloys by WEDM. Int J Eng Res Gen Sci. 2014; 2:719-29.
Arikatla SP, Mannan KT, Krishnaiah A. Parametric optimization in wire electrical discharge machining of titanium alloy using response surface methodology. Mater Today: Proc. 2014; 4:1434-41. https://doi.org/10.1016/j. matpr.2017.01.165 DOI: https://doi.org/10.1016/j.matpr.2017.01.165
Srinivasarao G, Suneel D. Parametric optimization of WEDM on α-β Titanium alloy using desirability approach. Mater Today: Proc. 2018; 5:7937-46. https:// doi.org/10.1016/j.matpr.2017.11.476 DOI: https://doi.org/10.1016/j.matpr.2017.11.476
Paulson DM, Saif M, Zishan M. Optimization of wire-EDM process of titanium alloy-Grade 5 using Taguchi’s method and grey relational analysis. Mater Today: Proc. 2023; 72:144-53. https://doi.org/10.1016/j. matpr.2022.06.376 DOI: https://doi.org/10.1016/j.matpr.2022.06.376
Khatri BC, Rathod PP. Investigations on the performance of concentric flow dry Wire Electric Discharge Machining (WEDM) for thin sheets of Titanium alloy. Int J Adv Manuf Technol. 2017; 92:1945-54. https://doi. org/10.1007/s00170-017-0284-3 DOI: https://doi.org/10.1007/s00170-017-0284-3
Majumder H, Maity K. Multi-response optimization of WEDM process parameters using Taguchi based desirability function analysis. IOP Conf Ser. 2018; 338. https://doi.org/10.1088/1757-899X/338/1/012004 DOI: https://doi.org/10.1088/1757-899X/338/1/012004
Chalisgaonkar R, Kumar J. Optimization of WEDM process of pure titanium with multiple performance characteristics using Taguchi’s DOE approach and utility concept. Front Mech Eng. 2013; 8:201-14. https://doi. org/10.1007/s11465-013-0256-8 DOI: https://doi.org/10.1007/s11465-013-0256-8
Chaudhari R. Multi-response Optimization of WEDM Parameters using an integrated approach of RSMGRA analysis for pure Titanium. JIE (I): Series D. 2020; 101:117-26. https://doi.org/10.1007/s40033-020- 00204-7 DOI: https://doi.org/10.1007/s40033-020-00204-7
Nourbakhsh F, Rajurkar KP, Malshe AP, Cao J. Wire electro-discharge machining of Titanium alloy. Proc CIRP. 2013; 5:13-18. https://doi.org/10.1016/j. procir.2013.01.003 DOI: https://doi.org/10.1016/j.procir.2013.01.003
Ramamurthy A, Sridharan K, Ashwin S. Analysis of surface performance measures on WEDM processed Titanium alloy with coated electrodes. Mater Res Express. 2018; 5. https://doi.org/10.1088/2053-1591/ aade70 DOI: https://doi.org/10.1088/2053-1591/aade70
Devarasiddappa D, Chandrasekaran M, Arunachalam R. Experimental investigation and parametric optimization for minimizing surface roughness during WEDM of Ti6Al4V alloy using modified TLBO algorithm. J Braz Soc Mech Sci. 2020; 7:42. https://doi.org/10.1007/ s40430-020-2224-7 DOI: https://doi.org/10.1007/s40430-020-2224-7
