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<p>Electrical Pulse Disintegration (ED) has attracted widespread attention in the field of hard rock fragmentation. As key components of the discharge load, the electrode and rock are critical parameters that influence the effectiveness and efficiency of rock fragmentation. However, they have received limited attention, particularly regarding electrode size and rock heterogeneity. To analyze the above process, we used plasma as an intermediary to study rock fragmentation. We first utilized particle flow code (PFC) to construct a discrete element model (DEM) characterizing the mechanical properties of the rock. Integrating electrical properties, we developed a multiphysics field coupling model (MFCM) on the foundation of the transient electromagnetic field framework (TEFM). MFCM objectively reflects the composition, spatial distribution, and dielectric properties of minerals, characterizing the geometric and dielectric properties of the discharge environment. Additionally, by examining the breakdown process of rock under a strong electric field, we proposed a segmented breakdown criterion based on the dielectric breakdown model (DBM). Using the MFCM and segmented breakdown criterion, we analyzed the dynamic response of plasma development to electrode size and rock heterogeneity (granite and marble). Finally, we simulated the rock fragmentation process using DEM based on the spatial distribution of plasma. We found that the electrode size and the heterogeneity of the rock have a significant impact on the distribution of plasma and the penetration depth. Additionally, increasing the electrode size and enhancing the heterogeneity of the rock can both reduce the energy consumption per unit volume. Increasing the electrode size alone improves energy conversion efficiency from 40.82% to 53.06%. The comparison between experimental results and simulation results validates the accuracy of the analysis method for the plasma development process and the simulation method for rock fragmentation. This work provides technical support for further optimizing ED efficiency.</p>

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Influence of Electrode Size on the Fragmentation Process of Rocks with Different Heterogeneities under High-Voltage Pulses

  • 期刊论文

  • 发表日期：

    2025年1月3日

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  • Yong Zhao,
  • Yi Liu,
  • Hongbin Liao,
  • Tianyu Wang,
  • Siwei Liu,
  • Fuchang Lin

摘要

Electrical Pulse Disintegration (ED) has attracted widespread attention in the field of hard rock fragmentation. As key components of the discharge load, the electrode and rock are critical parameters that influence the effectiveness and efficiency of rock fragmentation. However, they have received limited attention, particularly regarding electrode size and rock heterogeneity. To analyze the above process, we used plasma as an intermediary to study rock fragmentation. We first utilized particle flow code (PFC) to construct a discrete element model (DEM) characterizing the mechanical properties of the rock. Integrating electrical properties, we developed a multiphysics field coupling model (MFCM) on the foundation of the transient electromagnetic field framework (TEFM). MFCM objectively reflects the composition, spatial distribution, and dielectric properties of minerals, characterizing the geometric and dielectric properties of the discharge environment. Additionally, by examining the breakdown process of rock under a strong electric field, we proposed a segmented breakdown criterion based on the dielectric breakdown model (DBM). Using the MFCM and segmented breakdown criterion, we analyzed the dynamic response of plasma development to electrode size and rock heterogeneity (granite and marble). Finally, we simulated the rock fragmentation process using DEM based on the spatial distribution of plasma. We found that the electrode size and the heterogeneity of the rock have a significant impact on the distribution of plasma and the penetration depth. Additionally, increasing the electrode size and enhancing the heterogeneity of the rock can both reduce the energy consumption per unit volume. Increasing the electrode size alone improves energy conversion efficiency from 40.82% to 53.06%. The comparison between experimental results and simulation results validates the accuracy of the analysis method for the plasma development process and the simulation method for rock fragmentation. This work provides technical support for further optimizing ED efficiency.