2780 KB0 KB199920252021Elangandhi, JamunaSaminatharaja, DuraisivamSelvaraj, MahalingamSuresh, Periyakgounderštevilka:11letnik:67str. 547-556ISSN:0039-2480DOI:10.5545/sv-jme.2021.7254COBISSID_HOST:87277827URN:URN:NBN:SI:doc-K11FH6UWenZveza strojnih inženirjev in tehnikov Slovenije etc.Strojniški vestnikbakercomposite toolcopperEDMelectrical discharge machineGRAgrey relational analysiskompozitno orodjepowder metallurgyprašna metalurgijatechnique for order of preference by similarity to ideal solutionTOPSISPerformance study of EDM process parameters using TiC/ZrSiO sub 4 particulate-reinforced copper composite electrode|Electrical discharge machines (EDM) are widely employed in machining components containing complex profiles of hard-to-cut and machining materials. However, the fabrication-of-tool time for the EDM process is excessively high in the traditional machining method, which significantly affects the machining rate. Therefore, in this paper, a powder metallurgy (PM) technique is employed to fabricate the tool electrode using copper (Cu), titanium carbide (TiC), and zirconium silicate (ZrSiO4) for different combinations. An L18 orthogonal array (OA) is planned using the following input parameters: three types of tools (Cu, Cu90, Cu80), peak current (PC) A, pulse on time (PT) µs, and gap voltage (GV) V. The performance of EDM is evaluated through the material removal rate (MRR), tool wear rate (TWR), and surface roughness (SR). The process parameters are optimized using two different techniques: the technique for order of preference by similarity to the ideal solution (TOPSIS) and grey relational analysis (GRA). TOPSIS and GRA optimization techniques produce the same optimal parametric solution for less TWR, SR, and higher MRR with the combination of the Cu90 tool, E8 APC, 15 µs pulse PT, and 75 V GV. Based on the ANOVA table of TOPSIS, pulse on time plays a major role, contributing 46.8 % of the machining performance; peak current shows the most significant contribution of 39.3 % of the machining performance using GRA values. Furthermore, the scanning electron microscope (SEM) image analyses are carried out on the machined workpiece surface to understand the effect of tools on machining qualityTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaUniverza v Ljubljani, Fakulteta za strojništvo