ABSTRACT

Mass and energy balances are vital for understanding and analysing the oxygen steelmaking process. Steelmaking plants commonly have in-house static balance models for controlling the process parameters. The present model uses semi-empirical relations for developing generalized mass and energy balance models. The developed models compute the mass of flux required, heat of post-combustion, heat needed for scrap melting, and flux dissolution based on tapping temperature and end-composition of steel. The study highlights the importance of scrap to hot metal ratio on optimizing the oxygen steelmaking process in terms of global warming potential or CO₂ generated, O₂ supply, mass of flux, and heat loss during the blow. The results were validated with the plant data from Tata Steel, IJmuiden, and represented using a nomogram. This nomogram provides a simple way for plant operators to estimate important process parameters and this approach could be extended to many similar plants.

摘要

质量和能量平衡对于理解和分析氧气炼钢过程至关重要。炼钢厂通常具有用于控制工艺参数的内部静态平衡模型。本模型使用半经验关系来开发广义质量和能量平衡模型。开发的模型根据出钢温度和钢的最终成分计算所需的焊剂质量、燃烧后的热量、废料熔化所需的热量和焊剂溶解。该研究强调了废钢与铁水比例对于优化氧气炼钢工艺的重要性，即根据全球变暖潜势或产生的CO ₂、O ₂供应、焊剂质量和吹塑过程中的热损失。结果用来自艾默伊登塔塔钢铁公司的工厂数据进行了验证，并使用列线图表示。该列线图为工厂操作员提供了一种简单的方法来估计重要的过程参数，并且这种方法可以扩展到许多类似的工厂。