JOURNAL ARTICLE

Electrical discharge machining process investigation and optimization of parameters for machining of aluminum silicon dioxide (Al7075–SiO 2 ) composite

K C SaravananVelayutham Muthukumaran

Year: 2024 Journal:   International Journal of Applied Ceramic Technology Vol: 21 (5)Pages: 3120-3127   Publisher: Wiley

Abstract

Abstract This research paper explores the impact of electrical discharge machining process parameters, including current, pulse‐on time ( T on ), and pulse‐off time ( T off ), on the material removal rate (MRR) and surface roughness (SR) during the fabrication of aluminum silicon dioxide (Al7075–SiO 2 ) composites. The Al7075–SiO 2 composites were produced through stir casting, incorporating 10% by weight of SiO 2 reinforcements with an average particle size of 54 µm. To systematically investigate the process parameters' effects, Taguchi's L9 orthogonal array was implemented in the design of experiments. Subsequently, the experimental data underwent analysis of variance (ANOVA) for thorough analysis. The response table for MRR and SR demonstrated that the current significantly influenced both responses (MRR and SR). The ANOVA results provided valuable insights into the percentage contribution of each parameter to the responses. Through the analysis, the optimal control variable settings for achieving the highest MRR were identified as a current of 3 A, a pulse‐on time of 1500 µs, and a pulse‐off time of 1 µs. Conversely, to attain the lowest SR, the ideal control variable settings were determined to be a current of 1 A, a pulse‐on time of 500 µs, and a pulse‐off time of 1 µs. Results also suggest that the error was within admissible range of 5% and the percentage contribution of the current (70.19%) had the largest effect on MRR.

Keywords:
Materials science Machining Electrical discharge machining Aluminium Composite number Metallurgy Silicon dioxide Process (computing) Silicon Composite material Mechanical engineering Engineering Computer science

Metrics

2
Cited By
0.74
FWCI (Field Weighted Citation Impact)
28
Refs
0.62
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Machining and Optimization Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced machining processes and optimization
Physical Sciences →  Engineering →  Mechanical Engineering
Advanced Surface Polishing Techniques
Physical Sciences →  Engineering →  Biomedical Engineering

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