![](/__local/B/DB/5C/F63B7D640368415ACC0EA6A751B_994BBEA0_AA8.jpg)
何飞
博士,副教授,硕士生导师
办公地点:冶金楼南214
办公电话:18255565957
电子邮件:feihe@ahut.edu.cn
hf2573546@sina.com
本科生课程:《传输过程的基本原理》、《科技文献检索与查新》等
研究生课程:《冶金数值仿真实验》
科研方向:
(1)冶金数学模型与计算机控制
(2)炼钢/精炼/连铸新工艺和新技术
(3)动量、热量和质量传输在冶金过程中的应用
(4)神经网络、案例推理等数据挖掘方法在冶金过程中的应用
简历:
何飞,男,1986年12月生,党员,工学博士,副教授,硕士生导师。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。主持国家自然科学基金项目1项和企业科研项目2项,参与国家自然科学基金3项、安徽省科技攻关项目1项、企业科研项目多项。在国内外学术期刊发表学术论文30余篇,其中SCI/EI收录13篇,获国家发明专利10项(已转化1项),并担任Journalof Process Control、Ironmaking & Steelmaking、SteelResearch International等多个期刊审稿人。2017年获得英国Materials& Minerals & Mining学会(IOM3)的“AdrianNormanton Award”奖(国内首次)。
代表性论文:
[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.
科研项目:
[1] 连铸坯与结晶器铜板粘结的形成、传播和修复机制及防控方法(51504002),2016年,国家自然科学基金,主持;
[2] 连续退火炉炉内温度场及带钢温度分布研究,2015年,马钢产学研合作课题,主持;
[3] 基于数据驱动的连铸板坯表面纵裂纹预测,2019年,宝钢产学研合作课题,主持;
[4] 超薄异型坯非平衡布流技术和非对称冷却技术研究与开发,2018年,莱钢产学研合作课题,主要参与;
[5] 转炉多元非均相炉渣中含磷固溶体稳定存在的控制机理研究(51704010),2018年,国家自然科学基金,参加;
[6] 工模具钢中镁细化碳化物机理及电渣重熔过程控镁机制研究(51574001),2016年,国家自然科学基金,参加;
[7] 轨道交通高速重载轮轴用钢关键共性工艺技术研究及其产品开发,2017年,横向课题,参加。