黄涛

师资队伍

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黄涛教授

电　　话

邮　　箱tao.huang@hust.edu.cn

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个人简介

       黄涛（Huang Tao，Professor），男，教授，博士生导师。国家级青年人才，湖北省杰青，武汉英才领军人才。2010年获南京航空航天大学学士学位，2017年获得华中科技大学博士学位，2013年9月-2014年10月赴澳大利亚纽卡斯尔大学联合培养，2019年博士后出站留校工作至今。研究方向为复杂结构数字化/智能化制造、机器人加工及工业软件，主持国家自然科学基金青B/面上/青C等纵向项目十余项，在权威期刊J. Manuf. Sci. E.-T. ASME、IEEE/ASME TMECH等发表论文五十余篇，研究成果应用于新一代航发叶盘叶片、航空结构件等复杂构件高效高精加工，获湖北省科技进步奖一等奖、中国航发集团科学技术奖等。

研究方向

数字化/智能化制造、机器人加工技术、工业软件
毕业生主要去向：中国航天科工、中国航发、华为、大疆、迈瑞、字节跳动等

开设课程

本科生课程：《机器人学》

科研项目

[1] 国家自然科学基金青年项目B类，复杂曲面数字化制造，2026.1-2028.12，主持
[2] 湖北省自然科学基金杰青项目，复杂构件高性能加工数字孪生关键技术研究，2025.3-2028.2，主持
[3] 国家自然科学基金重大研究计划集成项目，整体叶盘加工形性状态在线监测及一致性控制基础研究，2024.1-2026.12，参与
[4] 国家自然科学基金重大研究计划重点项目，基于原位感知技术的航空发动机关键零件加工表面完整性调控研究，2022.1-2025.12，参与
[5] 国家自然科学基金面上项目，超长叶片加工的变形智能反馈与工艺自适应调控，2021.1-2024.12，主持
[6] 国家重点研发计划子课题，航发叶片和轴承基体组织性能电磁复合场靶向强化技术，2020.12-2025.12，主持
[7] 国家自然科学基金青年项目，基于博弈论的弱刚性零件多机器人协同加工策略研究，2018.1-2020.12，主持

论文专著与专利

论文专著与专利:
[1] T. Huang, Chencheng Sun, Yatong Liu, Xiao-Ming Zhang, Han Ding, Automated Identification of Regions to be Repaired in Geometrically Damaged Blades with Deformation, IEEE/ASME Transactions on Mechatronics, Early access.

[2] ZT. Cao, T. Huang, P. Huang, X.-M. Zhang, H. Ding, An adaptive step-by-step registration method for deformed and damaged thin-walled blisk blade, Journal of Manufacturing Processes, 158:308-328, 2026.

[3] S. Shen, T. Huang, C. Sun, D. Wu, J. Ren, XM. Zhang, H. Ding, Load-Coupled Deformation Criterion-Driven Parametric Surface Reconstruction of Postservice Compressor Blades, IEEE Transactions on Industrial Informatics, 21(9):7012-7022, 2025.

[4] S. Ma, T. Huang, M. Wiercigroch, Y. Yan, XM. Zhang and H. Ding, Effect of workpiece vibration on dynamic cutting force in thin-walled plates trimming, CIRP Journal of Manufacturing Science and Technology, 61:35-50, 2025 

[5] X. Dai, ZT. Cao, T. Huang, XM. Zhang and H. Ding, A framework for parameters planning in hybrid milling of flexible blades, Journal of Manufacturing Science and Engineering, Transaction of the ASME, 147(6):061008, 2025. 

[6] C. Sun, T. Huang, D. Shi, XM. Zhang and H. Ding, Non-rigid registration in the reconstruction of damaged blades via regularized Gaussian fields, IEEE/ASME Transactions on Mechatronics, 2025.

[7] Y. Zhang, L. Peng, Y. Ye, Y. Chi, L. Gao, X. Zha, T. Huang, Y. Zhang, H. Ding and C. Ye, Exploring the strengthening mechanisms of additive manufactured metals treated by ultrasonic nanocrystal surface modification, International Journal of Fatigue, 190:108609, 2025.

[8] ZT. Cao, WH. Xu, T. Huang, Y. Lv, XM. Zhang and H. Ding, An efficient surrogate model for prediction of stress released distortion in large blade machining, Journal of Manufacturing Processes, 132:544-557, 2024. 

[9] DM. Shi, T. Huang, XM. Zhang and H. Ding, Superresolution Restoration of Cutting Forces in Thin-Walled Milling With a Diffusion Model, IEEE/ASME Transactions on Mechatronics, 2024. 

[10] C. Tang, D. Zhang, F. Wang, F. Yin, D. Qian, K. Li, Z. Cai, T. Huang, X. Zhang, J. Wang, C. Ye and H. Ding, Effects of magnetic intensity on the machining quality and tool damage in nickel-based superalloys subjected to magnetic-assisted cutting, Journal of Materials Processing Technology, 331:118494, 2024.

[11] SL. Ma, T. Huang, Y. Yan, XM. Zhang, H. Ding and M. Wiercigroch, Bifurcation analysis of thin-walled structures trimming process with state-dependent time delay, International Journal of Mechanical Sciences, 271:109159, 2024. 

[12] ZT. Cao, T. Huang, HZ. Zhang, BC. Wu, XM. Zhang and H. Ding. A deep learning model for online prediction of in-process dynamic characteristics of thin-walled complex blade machining. Journal of Intelligent Manufacturing, 2024. 

[13] DM. Shi, T. Huang, XM. Zhang, and H. Ding. Online Monitoring Dynamic Characteristics in Thin-Walled Structure Milling: A Physics-Constrained Bayesian Updating Approach, IEEE/ASME Transactions on Mechatronics, 28(6):3422-3433, 2023.

[14] X. Li, JY. Zhao, YX. Ye, ZH. Xu, G. Liu, XK. Luo, X. Wang, YL. Dong, T. Huang, C. Ye and H. Ding, Multi-objective optimization of laser shock peening based on an analytical model, International Journal of Fatigue, 172:107640, 2023.

[15] SL. Ma, T. Huang, XM. Zhang, M. Wiercigroch, D. Chen and H. Ding. Effect of state-dependent time delay on dynamics of trimming of thin-walled structures, International Journal of Mechanical Sciences, 233:107651, 2022.

[16] XF Li, T. Huang, H. Zhao, XM. Zhang, SJ. Yan, X. Dai and H. Ding. A review of recent advances in machining techniques of complex surfaces. Science China Technological Sciences. 65:1915-1939, 2022.

[17] DM. Shi, T. Huang, XM. Zhang, and H. Ding, An explicit coupling model for accurate prediction of force-induced deflection in thin-walled workpiece milling. Journal of Manufacturing Science and Engineering, Transaction of the ASME, 144(8):081005, 2022.

[18] T. Huang, L. Cao, XM. Zhang and H. Ding. Necessary discrete condition for error control of time-domain methods in milling stability prediction. Nonlinear Dynamics, 104:3771-3780, 2021.

[19] L. Cao, T. Huang, DM. Shi, XM. Zhang and H. Ding. Active Chatter Suppression in Low Immersion Intermittent Milling Process, Journal of Manufacturing Science and Engineering, Transaction of the ASME, 142(10):101005, 2020.

[20] T. Huang, L. Zhu, Z. Chen, S. Du and H. Ding. Robust active chatter control in milling processes with variable pitch cutters. Journal of Manufacturing Science and Engineering, Transaction of the ASME, 140(10):101005, 2018.

[21] T. Huang, XM. Zhang, J. Leopold and H. Ding. Tool orientation planning in milling with process dynamic constraints: a minimax optimization approach, Journal of Manufacturing Science and Engineering, Transaction of the ASME, 140(11):111002, 2018.

[22] T. Huang, XM. Zhang and H. Ding. A novel approach with smallest transition matrix for milling stability prediction. Nonlinear Dynamics, 90(1):95-104, 2017.

[23] T. Huang, Z. Chen, HT. Zhang and H. Ding. Active control of an active magnetic bearings supported spindle for chatter suppression in milling process. Journal of Dynamic Systems, Measurement, and Control, Transaction of the ASME, 137(11):111003, 2015.

[24] T. Huang, XM. Zhang, X. Zhang and H. Ding. An efficient linear approximation of acceleration method for milling stability prediction. International Journal of Machine Tools and Manufacture, 74:56-64, 2013.

[25] T. Huang, XM. Zhang and H. Ding. Decoupled chip thickness calculation model for cutting force prediction in five-axis ball-end milling. The International Journal of Advanced Manufacturing Technology, 69:1203-1217, 2013.

荣誉获奖

[1] 国家自然科学基金青年项目B类，2025年
[2] 湖北省杰出青年基金，2025年
[3] 国家自然科学基金委优秀结题项目，2024年
[4] 武汉英才领军人才，2024年
[5] 华中科技大学-无锡惠山太湖育人奖，2024年
[6] 湖北省科技进步奖一等奖（2/12），2023年
[7] 中国航发集团科学技术奖二等奖（7/15），2022年
[8] 华中科技大学教学竞赛二等奖，2021年
[9] 华中科技大学优秀教师班主任，2020年

师资队伍

黄涛教授

个人简介

研究方向

开设课程

科研项目

论文专著与专利

荣誉获奖

友情链接

关注我们

师资队伍

黄涛 教授

个人简介

研究方向

开设课程

科研项目

论文专著与专利

荣誉获奖

友情链接

关注我们

黄涛教授