Optimized surface morphological characterization employing LASER-drilled hole to enhance the EDM efficiency of MoSi <sub>2</sub> -SiC intermetallic composites

Die-sinking electrical discharge machining with a constant spark gap uses a LASER-machined electrode with 38 holes of 0.16 mm diameter to machine a Molybdenum disilicide and Silicon Carbide (MoSi 2 -SiC) ceramic composite for high-temperature and high-performance applications like aerospace components, gas turbine parts, heating elements, and nuclear systems. Qualitative results are shown through EDM using multi-hole copper electrodes and pure EDM fluid to create holes in MoSi 2 -SiC.Significant performance outcomes, including trends in MRR, EWR and surface roughness (Ra), have been explicitly quantified. A design of experiments and analysis of variance (ANOVA) were employed to examine the link between experimental variables and outcomes.Pulse current is the most significant metric for Ra, with pulse on-time ranking closely behind.This study implemented Taguchi-Data Envelopment Analysis-based Ranking (DEAR) for identifying the optimal multi-response optimization parameter.Experimental research reveals optimal EDM settings for MoSi 2 -SiC ceramic composite, including laser-drilled multi-hole copper electrode, 3 A peak current, 7 μs pulse-on time, 4 μs pulse-off time, and 14 Kg/cm 2 dielectric pressure. Microstructural analysis will be done for each experiment session to find any unusual features in the machined composites. Machining time, flushing efficiency, and productivity are enhanced by laser-drilled multi-hole electrodes. The Taguchi-DEAR optimization method is used to balance performance outcomes, making it effective for practical EDM process improvements.

Authors

Publication Details

Journal
Materials Science and Technology
Published
2026-05-08
DOI
https://doi.org/10.1177/02670836261450053
Primary Topic
Advanced Machining and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimized surface morphological characterization employing LASER-drilled hole to enhance the EDM efficiency of MoSi 2 -SiC intermetallic composites

R Jeevananth, M Ramamoorthi, T Elango, L Selvarajan
Materials Science and Technology
Advanced Machining and Optimization Techniques
article

Optimized surface morphological characterization employing LASER-drilled hole to enhance the EDM efficiency of MoSi 2 -SiC intermetallic composites

R Jeevananth, M Ramamoorthi, T Elango, L Selvarajan
article en

Abstract

Die-sinking electrical discharge machining with a constant spark gap uses a LASER-machined electrode with 38 holes of 0.16 mm diameter to machine a Molybdenum disilicide and Silicon Carbide (MoSi 2 -SiC) ceramic composite for high-temperature and high-performance applications like aerospace components, gas turbine parts, heating elements, and nuclear systems. Qualitative results are shown through EDM using multi-hole copper electrodes and pure EDM fluid to create holes in MoSi 2 -SiC.Significant performance outcomes, including trends in MRR, EWR and surface roughness (Ra), have been explicitly quantified. A design of experiments and analysis of variance (ANOVA) were employed to examine the link between experimental variables and outcomes.Pulse current is the most significant metric for Ra, with pulse on-time ranking closely behind.This study implemented Taguchi-Data Envelopment Analysis-based Ranking (DEAR) for identifying the optimal multi-response optimization parameter.Experimental research reveals optimal EDM settings for MoSi 2 -SiC ceramic composite, including laser-drilled multi-hole copper electrode, 3 A peak current, 7 μs pulse-on time, 4 μs pulse-off time, and 14 Kg/cm 2 dielectric pressure. Microstructural analysis will be done for each experiment session to find any unusual features in the machined composites. Machining time, flushing efficiency, and productivity are enhanced by laser-drilled multi-hole electrodes. The Taguchi-DEAR optimization method is used to balance performance outcomes, making it effective for practical EDM process improvements.

Materials Science and Technology
Openalex Percentile: Top 7%
Advanced Machining and Optimization Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.