The fuel cladding serves as the primary safety barrier in nuclear reactors, and exploring more stable and efficient boiling modes through surface modification techniques such as coatings is of significant importance for the safe and efficient operation of reactors. This paper aims to independently design and fabricate superhydrophobic patterns on the substrate of fuel cladding materials, exploring optimal gas-liquid transport pathways to optimize boiling heat transfer. Based on experimental approaches, this study systematically investigates the influence of superhydrophobic patterns on boiling heat transfer on fuel cladding surfaces from three aspects: thermodynamic parameters, steam escape along the superhydrophobic patterns, and water disturbance to bubbles, utilizing tools such as Agilent equipment, high-speed camera, and Particle Image Velocimetry (PIV). It focuses on their mutual feedback characteristics, establishes a comprehensive experimental database, and derives the optimal width of the hydrophobic patterns.

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Study on Surface Boiling Heat Transfer of Fuel Cladding with Optimized Gas-Liquid Transport Path Using a Single Hydrophobic Pattern

  • Liyang Shen,
  • Jiejin Cai

摘要

The fuel cladding serves as the primary safety barrier in nuclear reactors, and exploring more stable and efficient boiling modes through surface modification techniques such as coatings is of significant importance for the safe and efficient operation of reactors. This paper aims to independently design and fabricate superhydrophobic patterns on the substrate of fuel cladding materials, exploring optimal gas-liquid transport pathways to optimize boiling heat transfer. Based on experimental approaches, this study systematically investigates the influence of superhydrophobic patterns on boiling heat transfer on fuel cladding surfaces from three aspects: thermodynamic parameters, steam escape along the superhydrophobic patterns, and water disturbance to bubbles, utilizing tools such as Agilent equipment, high-speed camera, and Particle Image Velocimetry (PIV). It focuses on their mutual feedback characteristics, establishes a comprehensive experimental database, and derives the optimal width of the hydrophobic patterns.