Modeling of the basic oxygen furnace (BOF) process, both for online monitoring and fundamental research, has gained importance in steelmaking industry over the past few decades. Especially models integrating fundamental physicochemical relations are appealing. Even though a vast amount of these kind of models and submodels can be found in the literature, no recent review paper is available which thoroughly discusses the most up-to-date BOF modeling methods. This study aims to do so. In the introductory chapters, an overview is given on the assumptions and models for underlying BOF phenomena, which are frequently used in the BOF models and submodels. Focus was put on six models with emphasis on the chemical aspect of the BOF process. For each model, its assumptions are given and subsequently evaluated, highlighting both their strengths and limitations. The six different models are also compared with each other. Finally, opportunities for future research are discussed.

中文翻译：

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碱性氧气炉：近期物理化学模型的评估

在过去的几十年中，用于在线监测和基础研究的基本氧气炉 (BOF) 过程建模在炼钢行业中变得越来越重要。特别是整合基本物理化学关系的模型很有吸引力。尽管在文献中可以找到大量此类模型和子模型，但没有最近的评论论文可以彻底讨论最新的 BOF 建模方法。本研究旨在做到这一点。在介绍性章节中，概述了基本 BOF 现象的假设和模型，这些假设和模型在 BOF 模型和子模型中经常使用。重点放在六个模型上，重点是转炉工艺的化学方面。对于每个模型，给出其假设并随后进行评估，突出他们的优势和局限性。六个不同的模型也相互比较。最后，讨论了未来研究的机会。