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<p>AA7075/6%B<sub>4</sub>C aluminium metal matrix composites were fabricated by stir casting and subjected to cryogenic soaking durations of 0–36&#xa0;h. Machining performance was evaluated using EDM under an L27 orthogonal array design. Response Surface Methodology was applied for single-objective analysis, while a hybrid Entropy Weight–Grey Relational Analysis optimized multiple responses. The optimal condition was identified as a 12-hour soaking duration with machining parameters of gap 0.2&#xa0;mm, current 60&#xa0;A, pulse on 100 µs, and pulse off 70 µs, yielding MRR 0.5086&#xa0;g/min, TWR 0.0014&#xa0;g/min, and SR 3.912&#xa0;μm. Validation with an Adaptive Neuro-Fuzzy Inference System confirmed high predictive accuracy. This study establishes cryogenic soaking duration as a critical factor in enhancing EDM machinability of B<sub>4</sub>C-reinforced AMMCs and demonstrates ANFIS as an effective tool for multi-objective machining optimization.</p>

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Experimental study and optimization of EDM process parameters for cryogenically treated aluminum metal matrix composites using RSM, GRA, and ANFIS modeling

  • 期刊论文

  • 发表日期：

    2026年2月3日

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  • Velusamy Mohankumar,
  • Soorya Prakash Kumarasamy,
  • Sivasubramanian Palanisamy,
  • Manivannan Jayamani,
  • Aravindhan Alagarsamy,
  • Mohamed Abbas,
  • Shaeen Kalathil,
  • Mezigebu Belay

摘要

AA7075/6%B4C aluminium metal matrix composites were fabricated by stir casting and subjected to cryogenic soaking durations of 0–36 h. Machining performance was evaluated using EDM under an L27 orthogonal array design. Response Surface Methodology was applied for single-objective analysis, while a hybrid Entropy Weight–Grey Relational Analysis optimized multiple responses. The optimal condition was identified as a 12-hour soaking duration with machining parameters of gap 0.2 mm, current 60 A, pulse on 100 µs, and pulse off 70 µs, yielding MRR 0.5086 g/min, TWR 0.0014 g/min, and SR 3.912 μm. Validation with an Adaptive Neuro-Fuzzy Inference System confirmed high predictive accuracy. This study establishes cryogenic soaking duration as a critical factor in enhancing EDM machinability of B4C-reinforced AMMCs and demonstrates ANFIS as an effective tool for multi-objective machining optimization.