A novel hole performance index to evaluate the hole geometry and drilling time in the electrochemical drilling process

Electrochemical Drilling (ECD) is an unconventional method aimed at creating holes in metallic workpieces characterized by high hardness and complex structures. This study analyzes the influence of process variables, including machining voltage, electrolyte concentration, electrode rotational speed, electrolyte flushing pressure, and workpiece material, on the novel hole performance index (HPI) in electrical discharge machining (ECD). The HPI was identified as a suitable metric for simultaneously evaluating hole geometry and drilling time across various machining parameters and workpiece materials. The analysis of variance (ANOVA) method was employed to determine the significance of each machining parameter and workpiece material on the HPI. The research employed signal-to-noise ratio analysis to identify the optimal machining parameters. The findings demonstrated that the workpiece material and machining voltage were significant factors influencing HPI. The validation tests demonstrated that the proposed statistical method can significantly reduce HPI.

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Publication Details

Journal
PLoS ONE
Published
2024-12-03
DOI
https://doi.org/10.1371/journal.pone.0314236
Citations
1
Primary Topic
Advanced Machining and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.21

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article

A novel hole performance index to evaluate the hole geometry and drilling time in the electrochemical drilling process

Can Çoğun, Nihat Tosun, Hacı Bekir Özerkan
1 citations
PLoS ONE
Advanced Machining and Optimization Techniques
0.21
article

A novel hole performance index to evaluate the hole geometry and drilling time in the electrochemical drilling process

Can Çoğun, Nihat Tosun, Hacı Bekir Özerkan
article en
1 citations

Abstract

Electrochemical Drilling (ECD) is an unconventional method aimed at creating holes in metallic workpieces characterized by high hardness and complex structures. This study analyzes the influence of process variables, including machining voltage, electrolyte concentration, electrode rotational speed, electrolyte flushing pressure, and workpiece material, on the novel hole performance index (HPI) in electrical discharge machining (ECD). The HPI was identified as a suitable metric for simultaneously evaluating hole geometry and drilling time across various machining parameters and workpiece materials. The analysis of variance (ANOVA) method was employed to determine the significance of each machining parameter and workpiece material on the HPI. The research employed signal-to-noise ratio analysis to identify the optimal machining parameters. The findings demonstrated that the workpiece material and machining voltage were significant factors influencing HPI. The validation tests demonstrated that the proposed statistical method can significantly reduce HPI.

PLoS ONEVol. 19(12)
Çankaya University (TR), VSB - Technical University of Ostrava (CZ), Fırat University (TR), Gazi University (TR)
European Commission
Openalex Percentile: Top 45%
Advanced Machining and Optimization Techniques
0.21
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A novel hole performance index to evaluate the hole geometry and drilling time in the electrochemical drilling process — Can Çoğun, Nihat Tosun, et al. · PLoS ONE (2024) | TGRS Research Map | TGRS