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竖窑烧结镁砂传热学数值模拟研究进展

Research progress on numerical simulation of heat transfer for magnesite sintering in shaft kilns

  • 摘要: 重烧镁砂作为洁净钢冶炼的关键基础材料,其高效化生产对耐火材料工业的可持续发展具有重要意义。然而,传统重烧镁砂产业普遍面临高能耗、高污染以及产品质量偏低等突出问题,亟待通过工艺优化与技术升级加以解决。数值模拟技术能够深入解析竖窑内的热工行为与传质规律,为工艺参数的精准调控提供理论依据。本文系统梳理了重烧镁砂产业发展现状与面临的挑战,重点基于移动床与固定床气固传热的研究现状,综述了数值模拟技术在重烧镁砂竖窑传热过程研究中的应用进展。通过分析数学模型的选择与关键假设,探讨了局部热平衡(LTE)与局部非热平衡(LTNE)模型的适用性,总结了固定床与移动床内气固传热的研究成果及其对竖窑工艺优化的借鉴意义。研究表明,LTNE模型更适用于描述竖窑内存在显著温差的气固传热过程。考虑热辐射、颗粒非球形及孔隙率非均匀分布等实际因素是提升模型精度的关键,而计算流体力学-离散元法耦合能精细模拟颗粒尺度行为对宏观传热的影响。优化冷却空气流量、烧结煤气流量及燃烧器位置等操作参数,是提升竖窑热效率与产品质量的有效途径。本文旨在为高品质镁砂的绿色、高效制备提供理论参考与技术支撑。

     

    Abstract: Dead-burned magnesia, as a key basic material for clean steel smelting, exerts a vital significance on the sustainable development of the refractory industry.However, prominent problems such as high energy consumption, heavy pollution and low product quality are generally confronted by the traditional dead-burned magnesia industry, which urgently need to be addressed through process optimization and technological upgrading. Numerical simulation technology can deeply analyze the thermal behavior and mass transfer laws inside shaft kilns, thus providing a theoretical basis for the precise regulation of process parameters. The development status and challenges faced by the dead-burned magnesia industry are systematically sorted out, and the research progress in the application of numerical simulation technology of heat transfer processes of dead-burned magnesia shaft kilns is summarized with a focus on the research status of gas-solid heat transfer in moving and fixed beds. Through the analysis of the selection of mathematical models and key assumptions, the applicability of local thermal equilibrium (LTE) and local non-thermal equilibrium (LTNE) models is discussed, and the research achievements of gas-solid heat transfer in fixed and moving beds and their reference significance for the process optimization of shaft kilns are summarized. It is shown that the LTNE model is more suitable for describing the gas-solid heat transfer process with significant temperature difference inside shaft kilns. The consideration of practical factors such as thermal radiation, particle non-sphericity and non-uniform porosity distribution is the key to improving model accuracy, and the CFD-DEM coupling method can finely simulate the influence of particle-scale behavior on macroscopic heat transfer. The optimization of operating parameters such as cooling air flow rate, sintering gas flow rate and burner position is an effective approach to improving the thermal efficiency and product quality of shaft kilns. A theoretical reference and technical support are provided for the green and efficient preparation of high-quality magnesia.

     

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