Steel inclusion prediction in ladle treatment

钢包处理中的钢夹杂物预测

• 批准号: 446090-2012
• 负责人: Irons, Gordon
• 金额: $ 2.08万
• 依托单位: McMaster University
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=597048
• 关键词: Steel; inclusion; prediction; ladle; treatment

It is proposed to develop and validate a kinetic model for inclusion transformation (both magnesium aluminate spinels and calcium aluminates) in steels during the critical ladle refining stage of production. This work builds on previous work in which a kinetic model for metal and slag composition in steel ladles was developed and verified for a production scale steel ladle metallurgy treatment station. The mathematical model is based on transport-controlled diffusion of Al, Mg, O, S, and Ca in the steel and assumes equilibrium at the inclusion-metal interface. Equilibrium at the interface is calculated with a cell model adapted from previously used slag thermochemical calculations. Collaborative experiments in the form of production trials will be conducted in the ladle metallurgy facilities of ArcelorMittal. Samples of metal, slag and inclusions in the steel will be taken for validation of the model. Electron microscopy will be used to compare the compositions with the calculations. Ladle metallurgy is the last opportunity to control the steel and inclusion chemistry before casting, so it is vital to the production of high quality steel. Currently, there are no models that predict the kinetics of slag, metal and inclusion chemistry development throughout a ladle metallurgy heat. This is expected to be of immediate use to Canadian steel producers to produce high-quality steel that competes on a global basis.

提出并验证了钢包精炼关键阶段钢中夹杂物(镁铝尖晶石和铝酸钙)转变的动力学模型。这项工作建立在以前工作的基础上，建立了钢包内金属和渣成分的动力学模型，并在生产规模的钢包冶金处理站进行了验证。该数学模型以Al、Mg、O、S和Ca在钢中的迁移控制扩散为基础，在夹杂物-金属界面处假定为平衡。界面平衡的计算采用了来自以前使用的炉渣热化学计算的晶胞模型。生产试验形式的协作试验将在安赛乐米塔尔的钢包冶金设施中进行。钢中的金属、炉渣和夹杂物的样本将被用于验证该模型。电子显微镜将用于将成分与计算结果进行比较。钢包冶金是浇注前控制钢水和夹杂物化学的最后机会，对生产高质量钢材至关重要。目前，还没有模型能够预测钢包冶炼过程中炉渣、金属和夹杂物化学发展的动力学过程。预计这将立即用于加拿大钢铁生产商生产在全球范围内竞争的高质量钢材。