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<p>Carbon fiber reinforced polymer (CFRP) has been widely applied due to its excellent properties, but its anisotropy poses significant challenges to conventional machining. Powder-mixed electrical discharge machining (PM-EDM), as a variant of EDM, significantly improves the discharge characteristics by introducing nanoscale conductive powders into the dielectric. In this study, nanoscale graphene was introduced into deionized water as the dielectric medium for PM-EDM, and square-hole machining experiments on CFRP were conducted. Compared with pure water, the material removal rate (MRR) increased by 22.3%, while the heat-affected zone (HAZ) decreased by 25%. Through single-factor experiments and an L16(4<sup>4</sup>) orthogonal design, the effects of graphene concentration, peak current, and other parameters on MRR, electrode wear rate (EWR), and HAZ were systematically investigated. Based on signal-to-noise ratio (SNR) analysis for single-objective optimization, grey relational analysis (GRA) was further employed to achieve multi-objective optimization, yielding the optimal parameter combination of peak current 1 A, pulse width 50&#xa0;μs, pulse interval 60&#xa0;μs, and gap voltage 30&#xa0;V.</p>

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Processing Performance and Optimization of CFRP by Powder-Mixed EDM Using Nano-Graphene Medium

  • 期刊论文

  • 发表日期：

    2025年10月29日

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  • Linglei Kong,
  • Yu Ji,
  • Weining Lei,
  • Jinjin Han,
  • Yafeng He

摘要

Carbon fiber reinforced polymer (CFRP) has been widely applied due to its excellent properties, but its anisotropy poses significant challenges to conventional machining. Powder-mixed electrical discharge machining (PM-EDM), as a variant of EDM, significantly improves the discharge characteristics by introducing nanoscale conductive powders into the dielectric. In this study, nanoscale graphene was introduced into deionized water as the dielectric medium for PM-EDM, and square-hole machining experiments on CFRP were conducted. Compared with pure water, the material removal rate (MRR) increased by 22.3%, while the heat-affected zone (HAZ) decreased by 25%. Through single-factor experiments and an L16(44) orthogonal design, the effects of graphene concentration, peak current, and other parameters on MRR, electrode wear rate (EWR), and HAZ were systematically investigated. Based on signal-to-noise ratio (SNR) analysis for single-objective optimization, grey relational analysis (GRA) was further employed to achieve multi-objective optimization, yielding the optimal parameter combination of peak current 1 A, pulse width 50 μs, pulse interval 60 μs, and gap voltage 30 V.