基本情况
姓名：徐志成
出生年月：1993年7月
职称：教授
导师类别：2026年3月可招硕士，2026年9月可招博士
主要研究方向：数据-机理融合驱动高端数控系统智能监测；微纳加工热力磁量子检测技术；高性能机电液系统仿真与优化
工作单位：武汉理工大学汽车学院
教育背景
2019.11-2021.11美国威斯康辛麦迪逊分校CSC联培博士导师：丁汉院士& Sangkee Min教授, 刘艳雄教授
2016.09-2021.11博士 (武汉理工大学)导师：丁汉院士&华林教授，刘艳雄教授
2012.09-2016.06学士 (武汉理工大学)
工作经历
2022.06-2026.03 博士后（香港理工大学 QS:57）导师：杜雪教授（超精密国家重点实验室副主任）
奖励情况
1. 2022年度中国汽车工程学会优秀博士学位论文奖.
2. 2017年度中国机械行业科学技术奖一等奖.
3. 2024和2025年度 两次中国大学生机械工程创新创意大赛智能精密装配赛粤港澳赛区选拔赛一等奖（指导老师）
4. 2024和2025年度 中国大学生机械工程创新创意大赛智能精密装配赛全国二等奖（指导老师）
学术兼职情况
担任Advanced Engineering Informatics，Energy，Mechanical Systems and Signal Processing (MSSP)，Engineering Applications of Artificial Intelligence (EAAI)，Journal of Manufacturing Processes，Journal of Manufacturing System等多个国际Top期刊审稿人
科研项目情况
Ø 2022-10至2024-10, 香港理工大学, Postdoctoral Matching Fund Scheme, 1-W25N, Smart and Sustainable Ultraprecision Manufacturing Based on Artificial Industrial Internet of Things, 68万元, 结题。（主持，搭建智能物联平台和超精密加工质量智能预测和过程优化）
Ø 2020-03 至 2020-12, 武汉理工大学, 武汉理工大学博士生自主创新研究基金, 205107001, 高精高频重载冲压装备能量监控及节能策略研究, 3万元, 结题。（主持，复杂机电液系统设计仿真与能耗管理系统）
Ø 2024-10 至今, 工业和信息化部, ×××高质量发展专项, 2024ZY02008, ×××优质高效冲锻复合成形技术与装备, 4800 万元, 在研。（参与，复杂机电液系统设计仿真与智能监测优化）
Ø 2025-04 至今, 央企中广核集团, 横向项目, ×××特性测量装置制造及×××设计优化, 029-GB-B-2025-C45-P.T.99-00017, 147.85 万元, 在研。（主持，1D-3D 联合仿真模型建立与实时优化）
Ø 2022-10 至今, 香港理工大学, Projects of Strategic Importance of the Hong Kong Polytechnic University, K-BBX5, Internet of Things (loT) Based Smart Machinery for Sustainable Ultraprecision Machining, 155万元, 在研。（参与，超精 密加工过程及机床数字孪生模型；基于深度学习精密过程实时误差补偿）
Ø 2020-10 至 2021-11, Wisconsin Alumni Research Foundation, University of Wisconsin Internal Research, 2MSN237362, Real-time fault detection and synthetic data generation using unsupervised learning and Generative Adversarial Networks, 35万元, 结题。（参与，能耗智能预测模型与工作状态智能判定模型；深度学习端-端机床状态与能耗精准预测）
代表性学术成果
Ø 期刊论文：(20篇 SCI，一作/通讯16篇，JCR Q1 13篇，中科院1区10篇, IF>10 6篇，参与cell子刊1篇)
v 5篇代表性论文：
1) Zhicheng Xu, Feng Guo, Baolong Zhang, Wai Sze Yip *, Suet To *. (2024). Development of optimal monitoring strategies for smart ultra-precision machining using social network analysis. Journal of Manufacturing Systems, (75):24-41. DOI:10.1016/j.jmsy.2024.05.017 (中科院1区，SCI IF: 12.2; Operations Research: 1/106, Q1, Top 5%)
2) Zhicheng Xu, Louis Luo Fan, Wai Sze Yip*, Suet To*, Zhanwen Sun, Dongfang Li. (2024). Intelligent Contour Error Compensation of Ultraprecision Machining Using Hybrid Mechanism-Data-Driven Model Assisted With IoT Framework. IEEE Transactions on Industrial Informatics. DOI:10.1109/TII.2024.3413313 (中科院1区，SCI IF: 11.7; Automation & Control Systems: 2/84, Q1, Top 5%)
3) Zhicheng Xu, Baolong Zhang, Dongfang Li, Wai Sze Yip*, Suet To*. (2024). Digital-twin-driven intelligent tracking error compensation of ultra-precision machining. 219:111630. Mechanical Systems and Signal Processing. DOI:10.1016/j.ymssp.2024.111630 (中科院1区，SCI IF: 7.9; Engineering, Mechanical: 5/180, Q1, Top 5%)
4) Zhicheng Xu, Baolong Zhang, Louis Luo Fan, Edward Hengzhou Yan, Dongfang Li, Zejia Zhao, Wai Sze Yip*, Suet To*. (2025). Deep-learning-driven intelligent tool wear identification of high-precision machining with multi-scale CNN-BiLSTM-GCN. Advanced Engineering Informatics. 65:103234. DOI:10.1016/j.aei.2025.103234. (中科院1区，SCI IF: 8.0; Engineering: 4/181, Q1, Top 5%)
5) Zhicheng Xu, Wai Sze Yip*, Suet To*. (2025). Deep-learning-driven intelligent component-level energy prediction of ultra-precision machine tools with IoT platform. Energy, 320: 135378. (中科院1区，SCI IF: 9.0; Engineering: 3/78, Q1, Top 5%)
v 15篇其他论文著作：
6) Zhicheng Xu, Tong Zhu, Luo Fan, Baolong Zhang, Poon Hiuying, Wai Sze Yip *, Suet To *. (2024). A review: Insight into smart and sustainable ultra-precision machining augmented by intelligent IoT. Journal of Manufacturing Systems, (74):233-251. DOI:10.1016/j.jmsy.2024.03.008 (中科院1区，SCI IF: 12.2; Operations Research: 1/106, Q1, Top 5%)
7) Zhicheng Xu, Yanxiong Liu*, Lin Hua, et al. (2019). Energy analysis and optimization of main hydraulic system in 10,000kN fine blanking press with simulation and experimental methods. Energy Conversion and Management, (181):143-158. DOI10.1016/j.enconman.2018.12.012 (中科院1区，SCI IF: 10.4; Mechanics: 3/170, Q1, Top 5%)
8) Yanxiong Liu, Zhicheng Xu*, Lin Hua, et al. (2020). Analysis of energy characteristic and working performance of novel controllable hydraulic accumulator with simulation and experimental methods. Energy Conversion and Management, (2):114-128. DOI:10.1016/j.enconman.2018.12.012 (中科院1区，SCI IF: 10.4; Mechanics: 3/138, Q1, Top 5%)
9) Zhicheng Xu, Yanxiong Liu*, Lin Hua, et al. (2020). Energy improvement of fine-blanking press by valve-pump combined controlled hydraulic system with multiple accumulators. Journal of Cleaner Production, (257):120505. DOI:10.1016/j.jclepro.2020.120505 (中科院1区，SCI IF: 11.2; Engineering, Environmental: 24/358, Q1, Top 10%)
10) Yanxiong Liua, Yuwen Shu, Zhicheng Xu*, Senbo Han, Changbang Zhang,Mingzhang Chen.(2025). One-dimensional convolutional neural network model driven intelligent operation phases identification of hydraulic press using energy data. Engineering Applications of Artificial Intelligence.(中科院1区，SCI IF: 7.5; Engineering: 5/181, Q1, Top 5%)
11) Zhicheng Xu, Vignesh Selvaraja, Sangkee Min*. (2024). State identification of a 5-axis ultra-precision CNC machine tool using energy consumption data assisted by multi-output densely connected 1D-CNN model[J]. Journal of Intelligent Manufacturing, 35(1):147-160. DOI:10.1007/s10845-022-02030-y (SCI IF: 5.9; Engineering, Manufacturing: 15/68, Q1)
12) Zhicheng Xu, Vignesh Selvaraja, Sangkee Min*. (2024). Intelligent G-code-based power prediction of ultra-precision CNC machine tools through 1DCNN-LSTM-Attention model [J]. Journal of Intelligent Manufacturing. DOI:10.1007/s10845-023-02293-z (SCI IF: 5.9; Engineering, Manufacturing: 15/68, Q1)
13) Vignesh Selvaraj1, Zhicheng Xu1, Sangkee Min*. (2023). Intelligent Operation Monitoring of Ultra-Precision CNC Machine Tool using Energy Data[J], International Journal of Precision Engineering and Manufacturing-Green Technology, 2022(10):59-69. DOI:10.1007/s40684-022-00449-5 (Co-First, SCI IF: 5.3; Engineering, Mechanical: 45/180, Q1)
14) Zhicheng Xu, Lin Hua, Yanxiong Liu*. (2024). Energy-saving and performance-enhancement of hydraulic fineblanking press assisted with controllable hydraulic accumulator for sustainability [J]. The International Journal of Advanced Manufacturing Technology. DOI:10.1007/s00170-024-13082-0 (SCI IF:2.9; Engineering, Mechanical: 29/68, Q2)
15) Yuwen Shu, Yanxiong Liu*, Zhicheng Xu*. (2023). Optimization of Hydraulic Fine Blanking Press Control System Based on System Identification[J], Processes, 1 (11):59. DOI:10.3390/pr11010059 (SCI IF: 2.8; Engineering, Chemical: 80/170, Q2)
16) Yanxiong Liu, Yuwen Shu, Zhicheng Xu*, Xinhao Zhao, Mingzhang Chen. (2024). Energy efficiency improvement of heavy-load hydraulic fine blanking press for sustainable manufacturing assisted by multi-stages pressure source system[J]. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. DOI:10.1177/09544054241254881 (SCI IF: 1.9; Engineering, Mechanical:91/180, Q3)
17) Dongfang Li, Zhicheng Xu, Suet To*, Rob Law, Edmond Q. Wu, Limin Zhu, . (2024). Robotic fish: Opening a New Era of Underwater Detection. The Innovation (Cell子刊). (中科院1区, SCI IF 33.2; Multidisciplinary Sciences:5/135, Q1, Top 5%)
18) Feng Guo, Hnegzhou Yan, Hongting Zhou, Zhicheng Xu, Wai Sze Yip*, Suet To*. (2024). Technological life-cycle analysis of ultra-precision machining technology: forecasting perspective directions and tracking the critical transitions with evolution. Advanced Informatics Engineering. (中科院1区, SCI IF: 8.9; Engineering, Manufacturing:3/63, Q1, Top 5%)
19) Yanxiong Liu, Yuwen Shu, Wentao Hu, Xinhao Zhao*, Zhicheng Xu. (2021). Active vibration control of mechanical servo high speed fineblanking press[J], Strojniski Vestnik-Journal Of Mechanical Engineering, (67): 445-457. DOI10.5545/sv-jme.2020.6959 (SCI IF: 1.2; Engineering, Mechanical:134/180, Q3)
20) Edward Hengzhou Yan, Feng Guo, Baolong Zhang, Muhammad Rehan, Delei Wang, Zhicheng Xu, Chi Ho Wong, Long Teng, Wai Sze Yip, Suet To. (2025). Exploring the Application of the Internet of Things in Precision Machining by Comparative Text Mining. WIREs Data Mining and Knowledge Discovery. (中科院2区, SCI IF: 5.5，Q1)
21) 徐志成，刘艳雄，田林林，等。高速高精液压机系统性能优化与节能研究[J]. 液压与传动。
22) 刘艳雄，张怡俊，纪开盛，徐志成，华林*，胡志力. 锻压能耗分析及节能技术研究综述[J]. 塑形工程学报. 2022,29(1):1-10. DOI:10.3969/j.issn.1007-2012.2022.01.001.
Ø 会议论文 (3篇)：
1) Zhicheng Xu, Vignesh Selvaraj, Sangkee Min*. (2021). Intelligent Operation Monitoring of a 5-Axis Ultra-Precision CNC Machine Tool using Energy Data [C]. 2021 International Symposium on Precision Engineering and Sustainable Manufacturing. (Conference Paper, 获得会议唯一最佳论文奖)
2) Zhicheng Xu, Lenny Wai Sze Yip, Suet To. (2023). Condition monitoring of three-axis ultra-precision milling machine tool for anomaly detection[C]. Procedia CIRP, (119):1210-1215. DOI:10.1016/j.procir.2023.04.012 (Conference Paper)
3) Zhicheng Xu, Gangfeng Tan*. (2015). Microwave-Steam Based Road Deicing Vehicle Focused on Thin Ice Layers[C]. SAE International. (1):0502. 10.4271/2015-01-0502 (Conference Paper)
Ø 软件著作权 (2项)：
1. 刘艳雄，华林，徐志成. 高速低振节能液压机液压系统参数化设计软件. 2019SR1295238.
2. 华林，刘艳雄，徐志成. 胡俊杰. 高强度钛合金精冲工艺只能设计系统. 2017SR376680.
Ø 授权中国发明专利 (15项)：
1. 刘艳雄, 徐志成, 汪小凯, 王秋林, 陈治莹, 文点. 一种高压大流量快速响应液压回路. (2016) CN106246615A.
2. 华林, 徐志成, 刘帅莹, 刘艳雄, 舒昱文, 汤宇杰.一种液压能智能存储与精准传递装置. (2020) CN111412186A.
3. 刘艳雄, 徐志成, 姜彦茹, 华林, 舒昱文. 一种多蓄能器高性能伺服油压机液压系统. (2019) CN110332154B.
4. 刘艳雄, 徐志成, 华林. 一种节能无冲击型液压剪. (2020) CN108869414B.
5. 华林, 徐志成, 刘艳雄, 赵新浩. 一种节能型低振快响应混合控制伺服液压机液压系统. (2020)CN108708889B.
6. 刘艳雄, 徐志成, 汪小凯, 王秋林, 陈治莹, 文点. 一种用于紧急救援的快速抢通受损路面专用车. (2018) CN106400672B.
7. 刘艳雄, 徐志成, 汪小凯, 王秋林, 陈治莹, 文点. 一种间断式粉料计量装置. (2016) CN106546307B.
8. 刘艳雄, 徐志成, 华林, 韩森波, 张昌邦, 于磊, 何镇豪. 一种液压机能耗智能监测方法、系统、装置及存储介质发明. (2023) CN112580262B.
9. 刘艳雄, 华林, 徐志成. 一种输入-输出特性可控式液压蓄能装置. (2023) CN107084162B.
10. 华林, 汪小凯, 刘艳雄, 徐志成. 一种进给速度可控的重载锻压设备液压系统及控制方法. (2019) CN107234201B.
11. 刘艳雄, 胡文涛, 华林, 徐志成. 一种高速精冲机模具表面废料智能在线检测方法及装置. (2016) CN106807801B.
12. 刘艳雄, 尹强, 华林, 徐志成. 一种齿形金属密封垫移步连续复合精冲成形工艺. (2018) CN107008806B.
13. 刘艳雄, 张昌邦, 韩森波, 徐志成, 华林. 一种压力机能耗远程智能监控平台及方法. (2021) CN113691893A.
14. 刘艳雄, 张周平, 徐志成, 张艺腾, 别业辉. 一种基于交互思维的发动机自启停智能触发系统. (2016) CN106257044A.
15. 华林, 刘艳雄, 胡俊杰, 赵新浩, 徐志成. 一种钛合金精冲成形方法. (2021) CN108536948B.
团队拥有良好的学术氛围、优厚的奖励制度、先进的实验/数值仿真平台，并与香港理工大学、英国帝国理工学院、美国普渡大学、威斯康星大学麦迪逊分校等国际顶尖高校建立了长期稳定的科研合作和学术交流关系，能够为研究生创造良好的学术条件和出国深造的机会。欢迎物理材料、车辆、机械、能动等相关专业的优秀学生加入，也欢迎国内外同行、企业朋友等参观和交流。
