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January 22, 2026The Canadian Journal of Chemical Engineering0 citationsOpen Access

Transient thermal modelling of green anode cooling in the aluminium industry

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MDMohammadhossein DabaghiDKDuygu KocaefeYKYaşar Kocaefe

Key Points

  • The aim is to develop and validate a 3D transient thermal model for simulating the cooling process of green anodes in aluminium production.
  • Developed a 3D transient thermal model for cooling simulation.
  • Incorporated heat transfer mechanisms including convection and radiation.
  • Used various cooling media: air, water, and water spray in both free and forced convection modes.
  • Validated model predictions with experimental data from 10 kg pilot green anodes.
  • Model predictions showed strong correlation with experimental temperature data.
  • Validation confirmed the model's accuracy in predicting thermal behaviour.
  • Model can identify efficient cooling strategies to enhance product quality.

Abstract

Abstract Anodes, which are used in electrolytic aluminium production, are made by mixing dry aggregate (petroleum coke, rejected anodes, and butts) with coal tar pitch, compacting the resulting paste (green anode), and baking (baked anode). After compaction, the anodes are cooled to maintain their structural integrity before being sent to anode baking furnaces. This study focuses on developing and validating a 3D transient thermal model to simulate the green anode cooling process. The model predicts temperature distribution in the anode during the cooling phase. This will help assess different cooling strategies. Heat transfer by convection (in air and water) and radiation (only in air) was incorporated into the boundary conditions to predict the thermal behaviour of the anodes. Various cooling media, such as air, water, and water spray, were used in free or forced convection modes. The model predictions were validated by comparing them with experimental data obtained from laboratory tests on pilot green anodes of about 10 kg. The results demonstrated a strong correlation between the simulated and experimental temperatures, validating the model. Thus, the model can be used to identify efficient cooling strategies and, consequently, improve anode cooling processes, leading to enhanced product quality.

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Cite This Study

Dabaghi et al. (2026) studied this question.

synapsesocial.com/papers/6971bd6a642b1836717e213dhttps://doi.org/10.1002/cjce.70249
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Also Consider

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