Multi-Performance Optimization in Electrical Discharge Machining of Al2O3 Ceramics Using Taguchi Base AHP Weighted TOPSIS Method

Abstract

The main application of electrical discharge machining in ceramic processing is limited to conductive ceramics. However, the most commonly used non-conductive potteries in modern industry, such as aluminum oxide (Al2O3), also reveal the limitations of choosing a suitable process. In this study, Taguchi based TOPSIS coupled with AHP weight method to optimize the machining parameters of EDM on Al2O3 leads to better multi-performance. The results showed that the technique is suitable for tackling multi-performance machining parameter optimization. The adhesive foil had a significant impact on material removal rate, electrode wear rate, and surface roughness, according to the findings. In addition, the response graph of relative closeness is used to determine the optimal combination levels of machining parameters. A confirmation test revealed a good agreement between predicted and experimental preference values at an optimum combination of the input parameters. The suggested experimental and statistical technique is a simple, practical, and reliable methodology for optimizing EDM process parameters on Al2O3 ceramics. This approach might be utilized to optimize and improve additional process parameters in the future.

Optimization of Submerged Arc Welding Setting Parameters Using Taguchi-Based MCDM Techniques : A Comparative Analysis

“…To illustrate the efficacy of Taguchi analysis-based MCDM approaches in solving the optimization issues of the SAW process, the results of the Taguchi analysis-based TOPSIS method are compared with those of other algorithms. For comparison of results, a solution obtained by the TLBO, Jaya, and QO-Jaya algorithms is reproduced from Rao and Kalyankar [1] and R. Venkata Rao and Dhiraj P. Rai [6] in Table (9). The values in bold represent an algorithm's superior performance relative to other algorithms.…”

“…Numerous machining procedures have utilized the TOPSIS technique., such as grinding by Stephen et al [7], electrical discharge machining by Huu-Quang Nguyen et al [8], and Zeng. et al [9]. The Multi-Objective Optimization depends on Ratio Analysis (MOORA) technology has been successfully employed to improve various manufacturing processes, including the milling in Ladakh.…”