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This experimental study investigates the mechanical and electrical propertiesProperties of the granular blends used as the lying-bed in electrical preheating of the aluminum reduction cellsAluminum reduction cell. Understanding these propertiesProperties is crucial for optimizing the preheating process, which significantly impacts cathode integrity and longevity. The mechanical propertiesMechanical properties were determined by the direct shear test, while the electrical propertiesProperties were obtained from a custom-built setup emulating in situ conditions. The propertiesProperties such as angle of repose, strain/pressure relationship, electrical resistivity, and specific electrical contact resistivity are determined for the various granular blends. The obtained data provides critical insights into how blend composition influences those propertiesProperties. These comprehensive material propertiesProperties will be invaluable for optimizing the granular layout in the lying-beds. Furthermore, these data will serve as essential input for precise numerical simulationsNumerical simulation of the preheating process, enabling accurate predictions of cathode surface temperature distribution and material behavior within the aluminum reduction cellAluminum reduction cell.

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Granular Blends of Coke and Graphite in the Lying-Bed: Experimental Insights into Their Mechanical and Electrical Properties

  • 会议论文

  • 发表日期：

    2026年

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  • Rohini Nandan Tripathy,
  • Daniel Marceau,
  • Duygu Kocaefe,
  • Antoine Godefroy

摘要

This experimental study investigates the mechanical and electrical propertiesProperties of the granular blends used as the lying-bed in electrical preheating of the aluminum reduction cellsAluminum reduction cell. Understanding these propertiesProperties is crucial for optimizing the preheating process, which significantly impacts cathode integrity and longevity. The mechanical propertiesMechanical properties were determined by the direct shear test, while the electrical propertiesProperties were obtained from a custom-built setup emulating in situ conditions. The propertiesProperties such as angle of repose, strain/pressure relationship, electrical resistivity, and specific electrical contact resistivity are determined for the various granular blends. The obtained data provides critical insights into how blend composition influences those propertiesProperties. These comprehensive material propertiesProperties will be invaluable for optimizing the granular layout in the lying-beds. Furthermore, these data will serve as essential input for precise numerical simulationsNumerical simulation of the preheating process, enabling accurate predictions of cathode surface temperature distribution and material behavior within the aluminum reduction cellAluminum reduction cell.