李荣义 教授[硕导]

1.基本信息

2.研究领域

航空航天难加工材料冷却润滑辅助切削加工技术、复杂装备制造过程数字孪生技术、加工过程大数据挖掘技术

3.联系方式

地址：哈尔滨市南岗区学府路52号，哈尔滨理工大学-1号办公楼-先进制造智能化技术教育部重点实验室1228室　

Email:easy198766@126.com

4.工作经历

5.教育经历

6.主要任职

7.学术兼职

8.教育教学（主讲课程）

数控技术（本）、精密超精密加工（本）、网络化制造技术（本）、刀具智能管控技术（本）、

、智能制造技术（研—省一流课程）、精密加工与制造自动化技术（研）

9.教学项目

10.科研项目

11.奖项成果

12. 论文期刊/学术会议

（1）发表论文情况:

[1] Li ,Rongyi *; Zhao, Xin; et al. Experimental research on milling of TC11 by scCO2-MQL and edge morphology,[J]. Ferroelectrics, Volume 614,2023, 282-300.（4）

[2] Li,Rongyi*; Zhao,Libo; et al. Research on Machining Error Control Method Driven by Digital-twin Model of Dynamic Characteristics of Machining System,[J]. Ferroelectrics, Volume 237:1,2023, 321-335.（4）

[3] Li,Rongyi; Xia,Wei*;et al. Tool wear image on-machine detection based on trajectory planning of 6-DOF serial robot driven by digital twin,[J]. International Journal of Advanced Manufacturing Technology, Volume125,2023, 3761-3775.（3）

[4] Li ,Rongyi *; Wei,Peining; et al.Cutting tool wear state recognition based on a channel-space attention mechanism, [J].Journal of Manufacturing Systems,Volume 69,2023, 135-149.（1）（中科院一区TOP）

[5] Li ,Rongyi *; Wang,Shanchao;et al. Research into Dynamic Error Optimization Method of Impeller Blade Machining Based on Digital-Twin 'Technology[J]. MACHINES, Volume 11,2023, 7.（2/3）

[6] Li, Rongyi*; Zhao, Wenkai; et al.  Construction Method of Digital Twin System for Thin-Walled Workpiece Machining Error Control Based on Analysis of Machine Tool Dynamic Characteristics[J]. MACHINES, 2023; 11(6):600. （2/3）

[7]Li ,Rongyi *; Zhao, Xin; et al. Effect of cryogenic cutting surface integrity on fatigue life of titanium alloy Ti-5553,[J]. Ferroelectrics, Volume 596,2022,115-125.

[8] Long,Changjin; Li, Rongyi*;et al. Research on Modeling of Milling Force of Ball-End Mill Cutter in Multi-hardness Splicing Area of Automobile Panel Die Steel[J].Integrated Ferroelectrics ,Volume 226,2022, 156-171.

[9]Liu,Xianli*;Li Rongyi; et al. Wear distribution characteristics of carbide ball end milling tool focusing on tool path and posture,[J].Wear,Volume 498,2022,498-499.（中科院一区TOP）

[10]Gao,Haining*; Li Rongyi; et al. Milling Chatter Detection System Based on Multi-Sensor Signal Fusion,[J].Ieee Sensors Journal,Volume 21,2022,25243-25251.(2)

[11] Liu,Xianli*;Li Rongyi; et al.A data-driven approach for tool wear recognition and quantitative prediction based on radar map feature fusion[J].Measurement, 2021. 110072.（1/2）

[12] Li ,Rongyi *; Long,Changjin; et al. Analysis of Nonlinear Characteristics of Milling Force in Processing Splicing Joint Area of Automobile Mold.[J] Ferroelectrics,Volume578,2021, 113-125.

[13] Liu,Xianli*;Li Rongyi; et al.Time-varying analytical model of ball-end milling tool wear in surface milling.[J]Advanced Manufacturing Technology ,Volume108 ,2020,1109-1123.（3）

[14] Zhao,Zemin ; Li Rongyi; et al.Tool Quality Life during Ball End Milling of Titanium Alloy Based on Tool Wear and Surface Roughness Models[J].Applied Sciences, Volume 10,2020, 3316.

[15] Gao,Haining* ; Li Rongyi; et al.Mechanics and dynamics research considering the tool radial runout effect in plunge milling[J].The International Journal of Advanced Manufacturing Technology, Volume 106,2020. 2391-2402.

[16]Li,Chuandong;L,Rongyi;et al.Geometric Error Identification and Analysis of Rotary Axes on Five-Axis Machine Tool Based on Precision Balls[J].Applied Sciences, Volume10, 2019.

[17] Gao,Haijing*;Li,Rongyi; et al .Influence of cutting parameters on force coefficients and stability in plunge milling[J].The International Journal of Advanced Manufacturing Technology, Volume 104,2019,5-8.

[18] Liu,Xianli*;Li Rongyi; et al.Analysis of the vibration characteristics and adjustment method of boring bar with a variable stiffness vibration absorber[J].International Journal of Advanced Manufacturing Technology, Volume98,2017,95-105.

[19] Liu,Xianli*;Li Rongyi; et al.Investigation of the milling stability based on modified variable cutting force coefficients[J].The International Journal of Advanced Manufacturing Technology, Volume 96, 2018,9-12.

[20] Liu,Xianli*;Li Rongyi; et al. A prediction method of milling chatter stability for complex surface mold[J]. The International Journal of Advanced Manufacturing Technology, Volume 89, 2017,2637-2648.

[21] Wu, Shi* ; Li, Rongyi ;et al. Experimental study of thin wall milling chatter stability nonlinear criterion[J].Intergated ferroelectrics, Volume 56,2016, 422-427.

[22] Wei P, Li R*, Liu X, et al. Research on tool wear state identification method driven by multi-source information fusion and multi-dimension attention mechanism[J]. Robotics and Computer-Integrated Manufacturing, 2024, 88: 102741.（中科院一区TOP）

[23]Chao Niu ，Rongyi Li*，Mingqiu Dai，Xianli Liu，Zhou Bo，Peining Wei，xudong Zhao，Erliang Liu.Research on Establishment of Digital-Twin System for Intelligent Control of Cutting Tools Sintering Process Driven by Data-Model Combination[J].

Journal of Manufacturing Systems, 2024, 74, 68-82（中科院一区TOP）

[24]Rongyi Li*, Chao Niu, Chao Wang, Shanshan Wang, Canlun Li, Xianli Liu.Sintering technology of cemented carbide cutting tool based on digital-twin[J].Ferroelectrics,2024,

[25]Hou K, Li R, Liu X, et al. Swin-fusion: An adaptive multi-source information fusion framework for enhanced tool wear monitoring[J]. Journal of Manufacturing Systems, 2025, 79: 435-454.（中科院一区TOP）

[26]Hou K, Li R, Liu X, et al. DSF-Net: Dual-Space frequency dynamic network for spacecraft thermal control coating defect detection[J]. Robotics and Computer-Integrated Manufacturing, 2026, 98: 103117.（中科院一区TOP）

（2）协办国际/国内学术会议情况:

.

(3)参加国际/国内学术会议情况：

1. 2025年第十八届切削与先进制造技术学术会议，会议地点：西安，报告类型“特邀报告”；

2. 2025年第四届先进制造智能化技术论坛，会议地点：哈尔滨，报告类型“特邀报告”；

3. 2025年制造自动化技术学术研讨会，会议地点：大连，报告类型“特邀报告”；

4. 2024年第八届数字孪生与只能制造服务学术会议，会议地点：杭州，报告类型“特邀报告”；

5. 2023年第二届先进制造智能化技术论坛，会议地点：哈尔滨，报告类型“特邀报告”；

6. 2022年The 2022 International Conference on Advanced Manufacturing Technology and Manufacturing System，会议地点：石家庄，报告类型“特邀报告”；

7. 2024年第八届数字孪生与智能制造服务学术会议，会议地点：杭州，报告类型“特邀报告”；

8. 2021年第五届数字孪生与智能制造服务会议，会议地点，厦门，报告类型“特邀报告”；

9. 2020年第三届大数据驱动的智能制造学术会议，会议地点：武汉，报告类型“特邀报告”。

(4)已授权专利

13.出版专著、教材

【1】出版教材——《工业网络化制造及应用》，化学工业出版社，ISBN 978-7-122-44238-3；

【2】出版专著——《曲面拼接模具铣削过程动力学特性及教工误差反演研究》，科学出版社，ISBN：978-7-030-67902-4。