个人简介

2008年于安徽工业大学获得冶金工程学士学位，2014年于北京科技大学获得冶金工程博士学位。主要从事冶金新工艺新技术方面的研究工作。承担本科生《传输过程的基本原理》、《科技文献检索》等的教学工作。主持国家自然科学基金项目1项和企业科研项目1项，并参与多项国家和企业科研项目。目前已发表学术论文10余篇

研究领域

冶金新工艺新技术

近期论文

[1] HeFei,Wang Haijun, Zhu Zhenghai. Numerical investigation of effect of casting speedon flow characteristics of molten steel in multistrand tundish[J]. ISIJInternational, 2019, 59(7): 1250-1258. (SCI刊源，IF1.427)[2] HeFei,Zhou Li. Formation mechanism and influence factors of the sticker between solidifiedshell and mold in continuous casting of steel[J]. High Temperature Materialsand Processes. 2019, 38: 192-198. (SCI刊源，IF0.427)[3] HeFei,Zhang Lingying. Prediction model of end-point phosphorus content in BOFsteelmaking process based on PCA and BP neural network[J]. Journal of ProcessControl, 2018, 66:51-58. (SCI刊源，IF3.316)[4] HeFei,Shi Jiashun, Zhou Li, et al. Monte Carlo calculation of view factors betweensome complex surfaces: Rectangular plane and parallel cylinder, rectangularplane and torus, especially cold-rolled strip and W-shaped radiant tube incontinuous annealing furnace[J]. International Journal of Thermal Sciences,2018, 134: 465-474. (SCI刊源，IF3.488)[5] HeFei,Zhang Lingying. Mold breakout prediction in slab continuous casting based oncombined method of GA-BP neural network and logic rules[J]. InternationalJournal of Advanced Manufacturing Technology, 2018, 95(9-12): 4081-4089. (SCI刊源，IF2.496)[6] QianHaitao, He Fei(通讯作者), XieXi’an, et al. Recovery mechanism of the sticking-type breakout duringcontinuous casting of steel[J]. Ironmaking & Steelmaking, 2019, 46(3),259-268.(SCI刊源，IF1.578)[7] He Fei, Zhang Lingying, XuQiyan. Optimization of flow control devices for a T-type five-strand billetcaster tundish: water modeling and numerical simulation[J]. China Foundry,2016, 13(3): 166-175.(SCI刊源，IF0.733)[8] He Fei, Zhou Li, Deng Zhihao.Novel mold breakout prediction and control technology in slab continuouscasting[J]. Journal of Process Control, 2015 (29): 1-10. (SCI刊源，IF3.316)[9] He Fei, He Dongfeng, Xu Anjun,etc. Development and application of mould breakout prediction system withonline thermal map for steel continuous casting[J]. Ironmaking &Steelmaking, 2015, 42(3): 194-208.(SCI刊源，IF1.578，该论文获IOM3学会2017年度“AdrianNormanton Award”奖，国内首次)[10] 何飞,贺东风, 徐安军, 等.连铸结晶器在线热像图绘制的方法[J]. 北京科技大学学报,2014, 36(7): 952-958. (EI刊源)[11] He Fei, He Dongfeng, Xu Anjun, et al.Hybrid model of molten steel temperature prediction based on ladle heat statusand artificial neural network[J]. Journal of Iron and Steel Research,International, 2014, 21(2): 181-190. (SCI刊源，IF1.382)[12] He Fei, Xu Anjun, Wang Hongbing, et al.End temperature prediction of molten steel in LF based on CBR[J]. SteelResearch International, 2012, 83(11): 1079-1086.(SCI刊源，IF1.522)代表性专利：[1] 一种用于连铸漏钢预报的混合模型,ZL201510447779.6,第一发明人,已授权.[2] 一种连铸粘结漏钢的治愈控制方法,ZL201510445992.3,第一发明人,已授权.[3] 一种基于混合模型的连铸漏钢预报方法,201710206080X,第一发明人.[4] 一种防止板坯连铸漏钢的结晶器出口安全坯壳厚度确定方法,2017103378650,第一发明人.[5] 一种基于逻辑判断的结晶器漏钢预报系统,2017103467851,第一发明人.[6] 一种连铸坯与结晶器铜板粘结行为的判定方法,2015109707188,第一发明人.[7] 一种基于逻辑判断的结晶器漏钢预报方法,2017103467974,第一发明人.