Enhancing Material Removal Rate in EDM with Green Dielectrics: A Regression Modeling Approach

Electrical Discharge Machining (EDM) is one of the electrical based advanced machining method where electrical energy is used as a source to cut or remove material. Green dielectrics are utilized in machining to make the process extremely competent and secure. Hybrid aluminum 2021 tools with different copper percentages are utilized for super alloy superni 909 machining research in an effort to further lower manufacturing costs. The impact of different input parameters Investigations are conducted on the work material for material removal rate as a reaction to changes in pulse on time, pulse off time, current, voltage, and tool material. A mathematical model is created and the influence of process parameters on response is determined using the Taguchi design of experiments. Each factor's percentage contribution is calculated. The goal of this research is to provide a substitute dielectric that can be machined in an environmentally friendly and sustainable manner while producing a satisfactory output at the lowest possible tooling cost.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-31
DOI
https://doi.org/10.5281/zenodo.13605568
Primary Topic
Advanced Machining and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing Material Removal Rate in EDM with Green Dielectrics: A Regression Modeling Approach

Zenodo (CERN European Organization for Nuclear Research)
Advanced Machining and Optimization Techniques
article

Enhancing Material Removal Rate in EDM with Green Dielectrics: A Regression Modeling Approach

article en

Abstract

Electrical Discharge Machining (EDM) is one of the electrical based advanced machining method where electrical energy is used as a source to cut or remove material. Green dielectrics are utilized in machining to make the process extremely competent and secure. Hybrid aluminum 2021 tools with different copper percentages are utilized for super alloy superni 909 machining research in an effort to further lower manufacturing costs. The impact of different input parameters Investigations are conducted on the work material for material removal rate as a reaction to changes in pulse on time, pulse off time, current, voltage, and tool material. A mathematical model is created and the influence of process parameters on response is determined using the Taguchi design of experiments. Each factor's percentage contribution is calculated. The goal of this research is to provide a substitute dielectric that can be machined in an environmentally friendly and sustainable manner while producing a satisfactory output at the lowest possible tooling cost.

Zenodo (CERN European Organization for Nuclear Research)
Life in Land, Responsible consumption and production
Openalex Percentile: Top 66%
Advanced Machining and Optimization Techniques
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