Research Progress of Prediction Models for Element Segregation and Inclusion Formation During Steel Solidification
WEI Jianfeng1, SONG Tiepeng1, WANG Guocheng1,2
1 School of Materials and Metallurgy, University of Science and Technology Liaoning, Anshan 114051, China 2 Key Laboratory of Metallurgy Engineering Liaoning Province, Anshan 114051, China
Abstract: Non-metallic inclusions in steel have an important impact on the processing and service performance of steel. The accurate prediction and characterization of inclusions can provide direction and guidance for optimizing and controlling the shape and properties of inclusions. For the past few years, because of the continuous development of computers and mathematical physical models, the prediction model of inclusions in steel has been greatly developed. This review summarizes the research progress of element microsegregation and inclusion generation prediction models during steel solidification and the latest developments in refining-continuous casting coupling prediction models. Finally, a new idea in view of the two-step nucleation theory to predict the precipitation of inclusions during solidification is proposed.
作者简介: 魏建峰,辽宁科技大学硕士生,2015年9月至2019年7月,在辽宁科技学院获得冶金工程专业工学学士学位,现就读于辽宁科技大学材料与冶金学院冶金工程专业。王国承,辽宁科技大学教授,博士生导师。2013/07至今,辽宁科技大学冶金工程系教授,在国际冶金领域最早提出和论证金属熔体中固体生成的二步形核理论,将二步形核理论和第一性原理计算预测应用于钢中夹杂物/析出相形成的非平衡过程,揭示原子-分子-团簇-颗粒尺度的形核和长大行为;提出钢中夹杂物结构无序化调控细化技术,发现高铝钢中氧化铝夹杂物环状聚集新形态。多相分配高效脱磷和少渣冶炼新工艺应用于80吨转炉。钢中夹杂物/析出物无损伤提取和分析技术先后应用于多家研究所和钢铁企业。先后主持国家自然科学基金、省级和企业等课题10余项;以第一或通讯作者发表论文50余篇,其中SCI收录论文30余篇。先后为Scientific Reports、MMTB、Steel Research International、Journal of Iron and Steel Research International、《钢铁》等国内外期刊审稿。
引用本文:
魏建峰, 宋铁鹏, 王国承. 钢凝固过程元素偏析和夹杂物生成预报模型研究进展[J]. 材料导报, 2021, 35(Z1): 454-461.
WEI Jianfeng, SONG Tiepeng, WANG Guocheng. Research Progress of Prediction Models for Element Segregation and Inclusion Formation During Steel Solidification. Materials Reports, 2021, 35(Z1): 454-461.
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