Parametric Optimization of Die Sinking EDM in AISI D2 Steel considering Canola oil as Dielectric using TOPSIS and GRA

Abstract

A colossal research work is being consummated to propose the optimal machining parameters while necessitating current machining techniques to attain elegant products. This research work foregrounded the optimum process parameters of die sinking EDM with 8mm diameter copper electrode during machining AISI D2 steel. Taguchi’s L9 OA method was adopted to design 9 experiments in total and Pulse on time (Ton), Servo voltage (SV) and Peak current (IP) are chosen as input parameters. Three levels of each parameter were selected for designing the experimentation. A natural vegetable oil named Canola oil which is an extract from Canola seeds is taken as dielectric and all the values of Material Removal Rate (MRR), Tool Wear Rate (TWR) and Surface Roughness (SR) for each experiment were noted as the output responses. Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Grey Relational Analysis (GRA) which are two Multi-Criteria Decision Making (MCDM) methods were accompanied for determination of ideal parameters for machining AISI D2 steel. Ultimately it is espied that the coalescence of level 3 of pulse on time, level 2 of Peak Current and level 2 of servo voltage propounds the optimum result by performing TOPSIS and GRA.

A comprehensive review of parametric optimization of electrical discharge machining processes using multi-criteria decision-making techniques

“…Sameer et al (2021) performed EDM operation on maraging steel treating Ip, DT and PF as the input parameters and MRR, SR and TWR as the responses and optimized the said process using Taguchi-DEAR method. In the similar direction, an EDM operation on titanium alloy was optimized by Phan et al (2021) with identification of the optimal combination of EDM parameters as Ton = 1,000 μs, Vg = 55 V and Ip = 40 A which would yield the corresponding values of MRR, SR and TWR as 0.0139 g/min, 9.313 μm and 0.0089 g/min respectively.…”

“…The performance scores of a product/process are assessed with respect to each quality attribute and aggregated together to define a composite index (utility) (Kumar et al, 2000). Based on L 18 OA design plan, Chandrashekarappa et al (2021) machined HCHCr D 2 steel material considering Ton, Ip and type of the tool material as the process variables and MRR, SR and TWR as the outputs. Graphite, copper and brass were used as the tool materials, distilled water and kerosene were utilized as the dielectric medium and the settings of Ton and Ip were maintained between 50 μs and 100 μs and 3 A and 9 A respectively.…”