刘红奇
研究员
个人简介
刘红奇(Liu Hongqi,Research Fellow),男,工学博士,国家数控系统工程研究中心研究员,博士生导师。 中国人工智能学会智能制造专委会秘书长,中国计量测试学会几何量专业委员会委员,国家自然科学基金通讯评议专家,International Journal of Machine Tools & Manufacture,Measurement Science and Technology等权威期刊的审稿人。2008年获得华中科技大学博士学位,2011年清华大学精仪系博士后出站,2012年至今在华中科技大学机械与科学工程国家数控系统工程研究中心从事教学与科研工作。 主要从事数控技术、机床动力学、装备智能化监控、机床误差建模与分析、制造大数据等方面的研究工作。主持和参与了国家自然科学基金面上项目、国家支撑计划课题、863课题、民口973课题、国家智能制造专项、国家数控专项等国家级重大科研项目17项和企业合作项目10项;发表文章SCI/EI 收录论文50多篇;授权发明专利40多项,获得软件著作权1项;相关成果获得湖北省科技进步一等奖1项和三等奖1项。
研究领域
智能制造 数控技术 加工过程智能监控技术 制造大数据
近期论文
[1]YangXie,Kunlei Lian,Qiong Liu,ChaoyongZhang*,HongqiLiu*._x005f_x001f_twin for cutting tool: modeling, service and application strategy,Journal of Manufacturing Systems,Volume 58, Part B, January 2021, Pages 305-312. [2]Shi, Chengming; Panoutsos, George; Luo, Bo*; Liu, Hongqi*, Li, Bin, Lin, Xu.Using Multiple-Feature-Spaces-Based Deep Learning for Tool Condition Monitoring in Ultraprec's on Manufacturing,IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,0278-0046,2019.5 [3]Xuemin Zhong,Hongqi Liu*,Xinyong Mao,BinLi,Songping He.Influence and error transfer in assembly process of geometric errors of a translational axis on volumetric error in machine tools,MEASUREMENT,Volume 140, July 2019, Pages 450-461 [4]Liu Hongqi; Lin Hai*; Jiang Xuchu; Mao Xinyong; Liu Quanxin; Li Bin.Estimation of mass matrix in machine tool's weak components research by using symbolic regression, COMPUTERS & INDUSTRIAL ENGINEERING,Volume 127, January 2019, Pages 998-1011. [5]Xuemin Zhong, Hongqi Liu*, Xinyong Mao & Bin Li .An Optimal Method for Improving Volumetric Error Compensation in Machine Tools Based on Squareness Error Identification,International Journal of Precision Engineering and Manufacturing,20, pages1653–1665 (2019) [6]Liu Hongqi; Lin Hai*.Surface roughness optimal estimation for disc parts turning using Gaussian-process-based Bayesian combined model,PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE,0954-4062 2019.10 [7]Yikang Du, Kuanmin Mao, Hongqi Liu*, Xiaobo Mao, Zhihang Li.A simplified analytical method for the pressure of tilt hydrostatic journal bearing,Industrial Lubrication and Tribology,Volume 70 · Number 6 · 2018 · 993–1001. [8]]Luo, Bo; Wang, Haoting, Liu, Hongqi*, Li, Bin, Peng, Fangyu.Early Fault Detection of Machine Tools Based on Deep Learning and Dynamic Identification, IEEE Transactions on Industrial Electronics, 02/2018, Volume 66, Issue 1 [9]Zhong, XM; Liu, HQ*; Mao, XY; Li, B; He, SP; Peng, FY.Volumetric error modeling and geometric error identification based on screw theory for a large multi-axis propeller-measuring machine, Measurement Science and Technology,05/2018, Volume 29, Issue 5 [10]Hongqiu Liu, Yongjun He, Xinyong Mao, Bin Li, Xing Liu.Effects of cutting conditions on excitation and dynamic stiffness in milling,The International Journal of Advanced Manufacturing Technolog,07/2017, Volume 91, Issue 1-4 [11]Liu hongqi,tangxiongbin,hesongping,libin.A method of measuring tool tip vibration in turning operations,The International Journal of Advanced Manufacturing Technolog,2015,43(1-2),pp 40-51 [12]Xing Liu, Xinyong Mao, Hongqi Liu*,Li bin, Method for identifying feed-drive system dynamic properties using a motor current, International Journal of Machine Tools&Manufacture110(2016)92–99 [13]Liu Hongqi,Li Bin,A parmaeterized model of bolted joints in machine tools, Intenational journal of acoustics and vibration,2014, Vol(19),10-20 [14]Bin Li, Feng Li Hongqi Liu*, Hui Cai,Xinyong Mao.A measurement strategy and an error-compensation model for the on-machine laser measurement of large-scale free-form surfaces.Measurement Science and Technology,01/2014, Volume 25, Issue 1. [15]Bo Tan, Xinyong Mao, Hongqi Liu*, Bin Li.A thermal error model for large machine tools that considers environmental thermal hysteresis effects. International Journal of Machine Tools&Manufacture, 82-83(2014)11–20. [16]Liu Hongqi,Lian ling neng,Li Bin.An approach based on singular spectrum analysis and the Mahalanobis distance for tool breakage detection,Journal of Mechanical Engineering Science,12/2014, Volume 228, Issue 18.