Electrical arc–grinding hybrid machining: Hybrid electrode stability, thermo-mechanical–grinding coupled modeling, and high-quality surface machining of GH4099

Electrical arc machining of high-temperature alloys is attractive for its high material removal rate but is limited by poor surface quality. To improve the post-machining surface finish while avoiding re-positioning errors across multiple operations, this work proposes electrical arc–grinding hybrid machining (EA-GHM), in which the electrode is replaced after the arc step to perform subsequent finishing, enabling high-quality machining of high-temperature alloys. We first design and fabricate a compatible hybrid electrode and verify its high-temperature thermal stability; we elucidate the degradation evolution of the coated abrasives under different media; and, based on high-temperature friction–wear theory and experiments, we clarify the temperature dependence of abrasive thermal behavior and wear, thereby confirming electrode stability. We then build a sequentially coupled temperature–stress field model for single and stochastic arc discharges and, on this basis, couple the diamond-grinding process to reveal the synergistic removal mechanism; single rotational discharge–grinding experiments are conducted to validate the model. Finally, comparative tests show that EA-GHM reduces the surface roughness of high-temperature alloys to below 0.5 μm, markedly improving surface quality and providing a new route to high-quality manufacturing after arc machining.

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Publication Details

Journal
Journal of Materials Research and Technology
Published
2026-02-26
DOI
https://doi.org/10.1016/j.jmrt.2026.02.214
Primary Topic
Advanced Machining and Optimization Techniques
Type
article
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Electrical arc–grinding hybrid machining: Hybrid electrode stability, thermo-mechanical–grinding coupled modeling, and high-quality surface machining of GH4099

Yinan Zhao, Xujun Guo, Shuhao Zhao, Shengsheng Zhang et al.
Journal of Materials Research and Technology
Advanced Machining and Optimization Techniques
article

Electrical arc–grinding hybrid machining: Hybrid electrode stability, thermo-mechanical–grinding coupled modeling, and high-quality surface machining of GH4099

Yinan Zhao, Xujun Guo, Shuhao Zhao, Shengsheng Zhang, Qingyuan Zhao, Jianping Zhou
article en

Abstract

Electrical arc machining of high-temperature alloys is attractive for its high material removal rate but is limited by poor surface quality. To improve the post-machining surface finish while avoiding re-positioning errors across multiple operations, this work proposes electrical arc–grinding hybrid machining (EA-GHM), in which the electrode is replaced after the arc step to perform subsequent finishing, enabling high-quality machining of high-temperature alloys. We first design and fabricate a compatible hybrid electrode and verify its high-temperature thermal stability; we elucidate the degradation evolution of the coated abrasives under different media; and, based on high-temperature friction–wear theory and experiments, we clarify the temperature dependence of abrasive thermal behavior and wear, thereby confirming electrode stability. We then build a sequentially coupled temperature–stress field model for single and stochastic arc discharges and, on this basis, couple the diamond-grinding process to reveal the synergistic removal mechanism; single rotational discharge–grinding experiments are conducted to validate the model. Finally, comparative tests show that EA-GHM reduces the surface roughness of high-temperature alloys to below 0.5 μm, markedly improving surface quality and providing a new route to high-quality manufacturing after arc machining.

Journal of Materials Research and TechnologyVol. 41
University of Science and Technology Liaoning (CN), Chinese Academy of Sciences (CN), Beijing Jiaotong University (CN), Weichai Power (China) (CN), Ningbo Institute of Industrial Technology (CN), Huazhong University of Science and Technology (CN), Xinjiang University (CN)
Openalex Percentile: Top 44%
Advanced Machining and Optimization Techniques
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