Experimental investigation of plain and nano-graphene oxide mixed dielectric for sustainable EDM of Nimonic alloy using Cu and Brass electrode: A comparative study

• Nano graphene oxide based dielectric used in EDM for machining a novel Nimonic alloy improves MRR , TWR and SR. • Copper electode with Nano graphene oxide based dielectric found to be most sustainable and productive. • Optimum parametric levels using Cu electrode with nano GO based dielectric are V g = 70 V, T on = 200 µs and F p = 0.5 kgf/mm 2 . The current research investigates the machinability of a novel Nimonic alloy through electro-discharge machining by assessing Material Removal Rate, Tool Wear Rate and Surface Roughness. The machining was conducted using plain dielectric and Graphene Oxide (GO) nanoparticles (5 g/l) mixed dielectric considering both Copper and Brass electrode. The novelity lies when machining with nano GO mixed dielectric. It was observed that the use of Copper electrode in machining of the alloy in nano GO mixed dielectric results in superior quality machining, demonstrating enhanced performance. The key findings include the identification of optimal parameters, where V g of 70 V, T on of 200 µs, F p of 0.5 kgf/mm 2 maximize MRR (16.231 mm 3 /min) and minimize TWR (0.0062 mm 3 /min) and SR (5.1423 µm). The microstructural study of the machined surface and sustainability study along with the detailed comparative analysis of responses assures the superiority of machining in Nano GO mixed dielectric-Cu electrode environment.

Authors

Publication Details

Journal
Measurement
Published
2024-09-06
DOI
https://doi.org/10.1016/j.measurement.2024.115659
Citations
16
Primary Topic
Advanced Machining and Optimization Techniques
Type
article
Field-Weighted Citation Impact
3.34
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Experimental investigation of plain and nano-graphene oxide mixed dielectric for sustainable EDM of Nimonic alloy using Cu and Brass electrode: A comparative study

Ashok Kumar Sahoo, Asit Behera, Siba Sankar Mahapatra
16 citations
Measurement
Advanced Machining and Optimization Techniques
3.34
article

Experimental investigation of plain and nano-graphene oxide mixed dielectric for sustainable EDM of Nimonic alloy using Cu and Brass electrode: A comparative study

Ashok Kumar Sahoo, Asit Behera, Siba Sankar Mahapatra
article en
16 citations

Abstract

• Nano graphene oxide based dielectric used in EDM for machining a novel Nimonic alloy improves MRR , TWR and SR. • Copper electode with Nano graphene oxide based dielectric found to be most sustainable and productive. • Optimum parametric levels using Cu electrode with nano GO based dielectric are V g = 70 V, T on = 200 µs and F p = 0.5 kgf/mm 2 . The current research investigates the machinability of a novel Nimonic alloy through electro-discharge machining by assessing Material Removal Rate, Tool Wear Rate and Surface Roughness. The machining was conducted using plain dielectric and Graphene Oxide (GO) nanoparticles (5 g/l) mixed dielectric considering both Copper and Brass electrode. The novelity lies when machining with nano GO mixed dielectric. It was observed that the use of Copper electrode in machining of the alloy in nano GO mixed dielectric results in superior quality machining, demonstrating enhanced performance. The key findings include the identification of optimal parameters, where V g of 70 V, T on of 200 µs, F p of 0.5 kgf/mm 2 maximize MRR (16.231 mm 3 /min) and minimize TWR (0.0062 mm 3 /min) and SR (5.1423 µm). The microstructural study of the machined surface and sustainability study along with the detailed comparative analysis of responses assures the superiority of machining in Nano GO mixed dielectric-Cu electrode environment.

MeasurementVol. 241
Responsible consumption and production
Openalex Percentile: Top 7%
Advanced Machining and Optimization Techniques
3.34
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.