Experimental Investigation of Electro-Discharge-Machined EN-24 and EN-42 Alloys

<div>The EN24 and EN42 materials were machined by the electric discharge machine (EDM). The study aimed to optimize the input variables for the multiple outputs, such as metal removal rate (MRR), tool wear rate (TWR), and surface roughness. The machining of the metal is essential to analyze the surface quality and the production rate. The MRR is a prediction of the production rate and surface roughness resembling the quality of the surface. The input variables were current (A), pulse on time (t<sub>on</sub>), and pulse duty factor (T). The three levels of current were 3A, 6A, and 9A. The t<sub>on</sub> time was selected as 30 μs, 50 μs, and 70 μs. The pulse duty factors were selected as 4, 5, and 6. The Taguchi optimization techniques are used to optimize process parameters. The L9 orthogonal array was selected for the process. ANOVA analysis was employed to check the rank of the input parameters relative to the output. The maximum MRR were at 9A, 70 μs, and 4 duty factor for the EN24. The best MRR were at 9A, 70 μs, and 5 duty factor for the EN42. The contribution of t<sub>on</sub> was maximum compared in the tool wear analysis. The optimum value of tool wear was at 6A, 70 μs, and 4 duty factors for the machining of EN42 and EN24. The surface analysis for EN24 was yielding at 9A, 70 μs, and 4 duty factor, and 9A, 70 μs, and 5 duty factors for the EN42. The maximum contribution of pulse on time for surface finish for machining both the materials. The scanning electron microscopy (SEM) analysis also analyzed the surface quality.</div>

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Publication Details

Journal
SAE International Journal of Materials and Manufacturing
Published
2024-10-04
DOI
https://doi.org/10.4271/05-18-01-0005
Primary Topic
Advanced Machining and Optimization Techniques
Type
article
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article

Experimental Investigation of Electro-Discharge-Machined EN-24 and EN-42 Alloys

Rajnish Singh, Akhilesh Kumar Chauhan, Kapil Dev Sahu
SAE International Journal of Materials and Manufacturing
Advanced Machining and Optimization Techniques
article

Experimental Investigation of Electro-Discharge-Machined EN-24 and EN-42 Alloys

Rajnish Singh, Akhilesh Kumar Chauhan, Kapil Dev Sahu
article en

Abstract

<div>The EN24 and EN42 materials were machined by the electric discharge machine (EDM). The study aimed to optimize the input variables for the multiple outputs, such as metal removal rate (MRR), tool wear rate (TWR), and surface roughness. The machining of the metal is essential to analyze the surface quality and the production rate. The MRR is a prediction of the production rate and surface roughness resembling the quality of the surface. The input variables were current (A), pulse on time (t<sub>on</sub>), and pulse duty factor (T). The three levels of current were 3A, 6A, and 9A. The t<sub>on</sub> time was selected as 30 μs, 50 μs, and 70 μs. The pulse duty factors were selected as 4, 5, and 6. The Taguchi optimization techniques are used to optimize process parameters. The L9 orthogonal array was selected for the process. ANOVA analysis was employed to check the rank of the input parameters relative to the output. The maximum MRR were at 9A, 70 μs, and 4 duty factor for the EN24. The best MRR were at 9A, 70 μs, and 5 duty factor for the EN42. The contribution of t<sub>on</sub> was maximum compared in the tool wear analysis. The optimum value of tool wear was at 6A, 70 μs, and 4 duty factors for the machining of EN42 and EN24. The surface analysis for EN24 was yielding at 9A, 70 μs, and 4 duty factor, and 9A, 70 μs, and 5 duty factors for the EN42. The maximum contribution of pulse on time for surface finish for machining both the materials. The scanning electron microscopy (SEM) analysis also analyzed the surface quality.</div>

SAE International Journal of Materials and ManufacturingVol. 18(1)
Affordable and clean energy
Openalex Percentile: Top 85%
Advanced Machining and Optimization Techniques
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