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In this research, the authors propose a strategy that integrates elements of the Taguchi technique, grey relational analysis (GRA), and principal component analysis (PCA). Wire electrical discharge machining (WEDM) is used to evaluate and estimate the output responses of scrap aluminium-based metal matrix composites in order to learn the effect of machining settings. The aim of this study is to determine the best combination of process parameters for minimizing both material removal rate (MRR) and surface roughness (Ra). With Taguchi’s technique, it was determined that the WEDM of developed composite specimens was L27 orthogonal array (OA), with the main control factors being the percentage of reinforcement weight, the percentage of doping, the time of the ON pulse (TON), the time of the OFF pulse (TOFF), and the wire feed rate (WFR). The findings of an ANOVA analysis, the two factors that have the greatest impact on MRR and Ra are the weight per cent and the degree of paralysis per cent. After applying GRA to standardize multi-objective responses, principal components analysis was used to assess how well each performance metric was weighted. Depending on the ideal combination, the highest MRR was determined to be 17 mm3/min, while the lowest Ra was found to be 3.12 µm.

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Multi-Parametric Optimization on the Wire-Cut Electric Discharge Machining for Boron Carbide Graphene Oxide/Aluminium Composites

  • 会议论文

  • 发表日期：

    2025年

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  • R. Manikandan,
  • R. Selvendran,
  • P. Chakravarthi,
  • R. Anbalagan,
  • G. B. Sarengan,
  • D. Jagadeesh,
  • R. Girimurugan

摘要

In this research, the authors propose a strategy that integrates elements of the Taguchi technique, grey relational analysis (GRA), and principal component analysis (PCA). Wire electrical discharge machining (WEDM) is used to evaluate and estimate the output responses of scrap aluminium-based metal matrix composites in order to learn the effect of machining settings. The aim of this study is to determine the best combination of process parameters for minimizing both material removal rate (MRR) and surface roughness (Ra). With Taguchi’s technique, it was determined that the WEDM of developed composite specimens was L27 orthogonal array (OA), with the main control factors being the percentage of reinforcement weight, the percentage of doping, the time of the ON pulse (TON), the time of the OFF pulse (TOFF), and the wire feed rate (WFR). The findings of an ANOVA analysis, the two factors that have the greatest impact on MRR and Ra are the weight per cent and the degree of paralysis per cent. After applying GRA to standardize multi-objective responses, principal components analysis was used to assess how well each performance metric was weighted. Depending on the ideal combination, the highest MRR was determined to be 17 mm3/min, while the lowest Ra was found to be 3.12 µm.