个人简介
国家数控系统工程研究中心教师。长期从事智能制造、数控技术、加工过程智能监控和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、国家支撑计划、国家863、国家973、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40篇,授权发明专利30余项,获得软件著作权1项;获得一项湖北省科技进步一等奖。
开设课程
本科生课程:《数控技术》《机械制造基础二》
研究生课程:《制造装备智能化控制技术》
承担的在研科研项目:
1.薄壁结构复杂时变工况切削过程在线监测与自适应调控,工信部,310万,2021-2023年,负责人;(在研)
2.基于信息物理系统(CPS)的计算机服务制造系统,工信部工业互联网工程,1600万,2020-2022年,参与;(在研)
3.基于零件批量加工数据分析的加工工艺与流程优化,科技部重点研发计划,460万,2019-2022年,第二负责人;(在研)
4.甲板机械及其关键零部件可靠性数据库,高 技 术 船 舶 科 研 项 目,工信部,150万,2019-2021年,第二;(在研)
6.高精度薄壁零件加工的动力学特性分析与工艺在线精化方法研究,国家自然科学基金(面上项目), 80万,2018.01-2021.12,负责人 ;(在研)
7.船海工程机电设备核心产品远程运维关键技术标准研究及试验验证,国家智能制造专项,24万,2018.1-2019.12负责人;(在研)
8.船海工程机电设备数字化车间,国家智能制造专项,100万,2017.1-2019.12,负责人;(在研)
9. 大型清洁高效发电设备智能制造数字化车间建设,国家智能制造专项,480万,2016.1-2018.12,负责人;(在研)
10. 中小型航空发动机轴类零件智能制造数字化车间建设,国家智能制造专项,100万,2017.1-2019.12,负责人;(在研)
11. 汽油发动机缸体、缸盖加工应用验证平台,国家重大专项(数控),339万,2014.1-2018.12,第二负责人;(在研)
12. 自适应加工技术应用研究,横向合作,72.6万,2017.10-2018.12,负责人;(在研)
13. 数控机床误差测量、分析与补偿技术,国家重大专项(数控),330万,2015.1-2018.12,负责人;(在研)
14. 数控机床滚珠丝杠磨损状态监测系统,横向合作,60万,2016.1-2017.12,负责人;(结题)
15.汽车发动机铣削加工刀具状态监测系统,横向合作,46万,2016.1-2017.12,负责人;(结题)
16.调距浆加工机床智能化升级,横向合作,42万,2016.6-2017.12,负责人;(结题)
17.加工状态下数控机床性能在线监测方法研究,国基金,80万,2013.1-2016.12,国家自然科学基金,负责人;(结题)
18.精密卧式加工中心设计制造关键技术,国家863项,85万,2013-2015,负责人;(结题)
19.智能制造装备的功能创成与验证,国家973项目,750万,2013.1-2017.12,研究骨干;(结题)
20.面向高效低损伤及加工安全的高端装备智能化控制技术与系统,国家支撑计划,739万,2012.1-2015.12,第二负责人;(结题)
授权的发明专利:
1. 一种数控机床车削稳定性监测方法(ZL 201110045763.4)
2. 数控车床误差自动测量装置(ZL 200710168723.2)
3. 数控铣床误差自动测量装置(ZL 200710168724.7)
4. 一种数控机床加工性能监控系统(ZL 200810048524.2)
5. 一种数控机床刀具磨损监测方法(ZL 201010607532.3)
6. 一种数控加工状态自学习的刀具磨损监控系统(ZL 201010607535.7)
荣誉与奖励:
2013年,大型叶片高效多轴数控加工技术与应用,湖北省科技进步一等奖(排名11)
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
查看导师新发文章
(温馨提示:请注意重名现象,建议点开原文通过作者单位确认)
[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.