Dong Wang

Associate Professor

Address: A1007, Lee Shau Kee Science and Technology Building, Department of Mechanical Engineering, Tsinghua University, Beijing

E-mail: d-wang@mail.tsinghua.edu.cn

属性1 Associate Professor 属性2 Address: A1007, Lee Shau Kee Science and Technology Building, Department of Mechanical Engineering, Tsinghua University, Beijing
属性3 E-mail: d-wang@mail.tsinghua.edu.cn 属性4
属性5 属性6
Education background

 2013/08-2018/07 Ph.D., Department of Mechanical Engineering, Tsinghua University

 2009/09-2013/06 Bachelor, Department of Automation, Beihang University

Experience

 2024/12-present Associate Professor, Department of Mechanical Engineering, Tsinghua University

 2020/07-2024/12 Assistant Professor, Department of Mechanical Engineering, Tsinghua University

 2018/07-2020/07 Post-doctor, Department of Mechanical Engineering, Tsinghua University

Research areas

Supported by national key scientific and technological projects, the Natural Science Foundation, and key R&D programs, research has been conducted on accuracy control of high-end CNC machine tools and robotic equipment. Research covers spatial accuracy, component accuracy, and process accuracy, involving key technologies such as precision design, error compensation, advanced control, and process optimization.

Academic Achievement

As of January 2025, has published more than 40 papers, and granted over 30 national invention patents. Representative papers in recent years are as follows:

[1] Double extended sliding mode observer-based synchronous estimation of total inertia and load torque for PMSM-driven spindle-tool systems. IEEE Transactions on Industrial Informatics, 2023, 19(7): 8496-8507.

[2] Surface roughness prediction of large shaft grinding via attentional CNN-LSTM fusing multiple process signals. The International Journal of Advanced Manufacturing Technolog

[3] Accuracy design optimization of a CNC grinding machine towards low-carbon manufacturing. Journal of Cleaner Production, 2023, 406: 137100.

[4] Developing a ball screw drive system of high-speed machine tool considering dynamics. IEEE Transactions on Industrial Electronics, 2022, 69(5): 4966-4976.

[5] Physics-based mechatronics modeling and application of an industrial-grade parallel tool head. Mechanical Systems and Signal Processing, 2021, 148: 107158.

Honors and Awards

Has received multiple industry and provincial-level science and technology awards, been honored as an Outstanding Postdoctoral Fellow at Tsinghua University, selected for the Postdoctoral Innovative Talent Support Program, and recognized as an Outstanding Graduate of Beijing.

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