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<p>To address the issues of high energy consumption and significant carbon emissions in current oxygen-enriched top-blown copper smelting processes caused by insufficient utilization of concentrate self-heating and the need for additional fuel, this study developed a multiphase non-equilibrium model tailored to the characteristics of top-blown smelting. The reliability of the model was verified using industrial data. By systematically analyzing the mapping relationships between various process parameters and smelting outcomes, four process optimization schemes were proposed, which can theoretically achieve 50.08%, 73.44%, 100%, and 85.25% reductions in carbon emissions from fuel combustion respectively. Further calculations of key slag properties such as melting point and viscosity for each optimization scheme were performed using FactSage software, with the results demonstrating that the slag properties in all the schemes meet production requirements. Scheme 4 was industrially implemented, demonstrating significant enhancement of technical metrics. This research provides a theoretical framework and practical pathway for multi-objective collaborative optimization of low-carbon, high-efficiency top-blown smelting, offering effective guidance for production practices.</p>

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Research on Optimization of Oxygen-Enriched Top-Blown Copper Smelting Process Based on a Multiphase Non-Equilibrium Model

  • 期刊论文

  • 发表日期：

    2025年11月10日

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  • Yinbin Zhu,
  • Tao Xiao,
  • Linshan Li,
  • Xin Zhou,
  • Zhiguo Zhang,
  • Songsong Wang,
  • Zhengping Lu

摘要

To address the issues of high energy consumption and significant carbon emissions in current oxygen-enriched top-blown copper smelting processes caused by insufficient utilization of concentrate self-heating and the need for additional fuel, this study developed a multiphase non-equilibrium model tailored to the characteristics of top-blown smelting. The reliability of the model was verified using industrial data. By systematically analyzing the mapping relationships between various process parameters and smelting outcomes, four process optimization schemes were proposed, which can theoretically achieve 50.08%, 73.44%, 100%, and 85.25% reductions in carbon emissions from fuel combustion respectively. Further calculations of key slag properties such as melting point and viscosity for each optimization scheme were performed using FactSage software, with the results demonstrating that the slag properties in all the schemes meet production requirements. Scheme 4 was industrially implemented, demonstrating significant enhancement of technical metrics. This research provides a theoretical framework and practical pathway for multi-objective collaborative optimization of low-carbon, high-efficiency top-blown smelting, offering effective guidance for production practices.