Bingran Li

Research Associate

Room A1011,Lee Shau Kee Science and Technology Building, Tsinghua University

E-mail: libingran@mail.tsinghua.edu.cn

属性1 Research Associate 属性2 Room A1011,Lee Shau Kee Science and Technology Building, Tsinghua University
属性3 E-mail: libingran@mail.tsinghua.edu.cn 属性4
属性5 属性6
Education background

Ph.D., Tsinghua University, 2020

M.S., Shandong University, 2015

Experience

2022.08- present Department of Mechanical Engineering, Tsinghua University, Beijing, China, Research Associate

2020.07-2022.07 Department of Mechanical Engineering, Tsinghua University, Beijing, China, Post-doctor

Areas of Research Interests/ Research Projects

Intelligent numerical control system technology

Academic Achievement

[1]. Gong Z , Li B* , Zhang H , et al. Tool orientation optimization method based on ruled surface using genetic algorithm[J]. The International Journal of Advanced Manufacturing Technology, 2021.

[2]. Jiang J* , Li B , Lin F , et al. Prediction and compensation strategy of contour error in multi-axis motion system[J]. Springer London, 2021.

[3]. Zhang C, Li B*, Ye P, et al. Analog-Hall-Sensor-Based Position Detection Method With Temperature Compensation for Permanent-Magnet Linear Motor[J]. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 1-11.

[4]. Zhang C, Li B*, Ye P, et al. Analysis and Compensation of Hall Sensor-Based Position Detection Errors in TPMSLM[J]. IEEE Sensors Journal, 2021, 21(20): 22612-22622.

[5]. Zhang C, Li B*, Zhang H, et al. Sensorless Control of Tubular Permanent magnet synchronous Linear Motor Considering the End Effect[C]//2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). IEEE, 2021, 5: 999-1004.

[6]. Zhang L*, Li B, Zhang C, et al. Optimization of Permanent Magnet Structure Parameters in Tubular Permanent Magnet Synchronous Linear Motor for HF Square-Wave Injection Sensorless Algorithm[C]//International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021, 85437: V007T07A049.

[7]. Xiao J, Li B*, Fang J, et al. Efficient Feedrate Optimization Method for Spline Toolpath Based on Typical Characteristics of Integral Impeller[C]//ASME International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021, 85567: V02BT02A054.

[8]. Jiang J*, Lin F, Li B, et al. A Two-step Tuning Method of Control Parameters for Permanent Magnet Synchronous Linear Motor[C]//2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). IEEE, 2021, 5: 1029-1034.

[9]. Li B, Zhang H, Ye P*, et al. Trajectory smoothing method using reinforcement learning for computer numerical control machine tools[J]. Robotics and Computer-Integrated Manufacturing, 2020, 61: 101847.

[10]. Wu J*, Li B, Zhang H, et al. Research on Adaptive Feedrate Planning of NURBS Curves for CNC System[C]//2019 2nd World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM). IEEE, 2019: 645-652.

[11]. Li B*, Zhang H, Ye P. Error constraint optimization for corner smoothing algorithms in high-speed CNC machine tools[J]. The International Journal of Advanced Manufacturing Technology, 2018, 99(1): 635-646.

[12]. Li B*, Zhang H, Ye P. Driving force constraint corner smoothing method for high-speed machine tools[C]//International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017, 58202: V006T10A012.

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