Indexed In Scopus
  Scopus ID: 21100926589

Modeling and Multi-objective Optimization of Green WEDM Characteristics on H21 Steel Using TOPSISCRITIC Technique

Abhishek Singh, Sandeep Kumar and Rahul Davis

Abstract

In this research work, TOPSIS (technique for the order of preference by similarity to ideal solution)-CRITIC (criteria importance through criteria intercorrelation) technique was used to determine the effectiveness of optimization of multiple response parameters of green wire electrical discharge machining (GWEDM) on H21 using deionized water as dielectric fluid. The effects of process parameters such as peak current (PC), pulse on time (Ton), pulse off time (Toff), wire tension (WT), wire speed (WS), and polarity (P) on the response parameters: cutting speed (CS), gap current (Ig ), and surface roughness (SR) were investigated. Initially, the experimentation was performed based on Taguchi’s design of the experiment (DOE) – L18-orthogonal array and responses were recorded. In addition, analysis of variance (ANOVA), P-value hypothesis test, and F-test were performed to evaluate the influential process parameters at the 95% confidence level. Also, the regression analysis was implemented on the obtained preference values to develop the mathematical model that explained the correlation among the machining characteristics. The parametric optimization, intending to maximize the CS and minimize the Ig and SR, achieved PC = 18 A, Ton = 128 µs, Toff = 48 µs, WT = 6 gm, WS = 5 m/min and reverse polarity as the optimal parameters to increase CS, and peak current = 12 A, Ton = 120 µs, Toff = 52 µs, WT = 7 gm, WS = 5 m/min, and straight polarity for Ig , PC = 12 A, Ton = 120 µs, Toff = 56 µs, WT = 7 gm, WS = 5 m/min and straight polarity as the optimal parameters to decrease Ig and SR. The optimal conditions for GWEDM characteristics for multi-response optimization using TOPSIS-CRITIC method were, PC = 12 A, Ton = 128 µs, Toff = 48 µs, WT = 7 gm, WS = 5 m/min, and straight polarity. Additionally, ANOVA was performed on the preference values (in the case of TOPSIS-CRITIC), and it was found that PC was the most influential process parameter with the highest contribution of 56.56%.

Published on: May 28, 2023
doi: 10.17756/nwj.2023-s1-130
Citation: Singh A, Kumar A, Davis R. 2023. Modeling and Multi-objective Optimization of Green WEDM Characteristics on H21 Steel Using TOPSIS-CRITIC Technique. NanoWorld J 9(S1): S679-S686.

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