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Xiaohu Xu
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Robotic grinding of complex components: a step towards efficient and intelligent machining–challenges, solutions, and applications
D Zhu, X Feng, X Xu, Z Yang, W Li, S Yan, H Ding
Robotics and Computer-Integrated Manufacturing 65, 101908, 2020
2812020
Application of novel force control strategies to enhance robotic abrasive belt grinding quality of aero-engine blades
XU Xiaohu, ZHU Dahu, H Zhang, YAN Sijie, D Han
Chinese Journal of Aeronautics 32 (10), 2368-2382, 2019
1092019
Analysis and assessment of robotic belt grinding mechanisms by force modeling and force control experiments
D Zhu, X Xu, Z Yang, K Zhuang, S Yan, H Ding
Tribology International 120, 93-98, 2018
922018
Hybrid active/passive force control strategy for grinding marks suppression and profile accuracy enhancement in robotic belt grinding of turbine blade
X Xu, W Chen, D Zhu, S Yan, H Ding
Robotics and Computer-Integrated Manufacturing 67, 102047, 2021
722021
TCP-based calibration in robot-assisted belt grinding of aero-engine blades using scanner measurements
X Xu, D Zhu, H Zhang, S Yan, H Ding
The International Journal of Advanced Manufacturing Technology 90, 635-647, 2017
642017
An improved robotic abrasive belt grinding force model considering the effects of cut-in and cut-off
S Yan, X Xu, Z Yang, D Zhu, H Ding
Journal of Manufacturing Processes 37, 496-508, 2019
602019
Calibration and accuracy analysis of robotic belt grinding system using the ruby probe and criteria sphere
X Xu, D Zhu, J Wang, S Yan, H Ding
Robotics and Computer-Integrated Manufacturing 51, 189-201, 2018
602018
Prediction and analysis of material removal characteristics for robotic belt grinding based on single spherical abrasive grain model
Z Yang, Y Chu, X Xu, H Huang, D Zhu, S Yan, H Ding
International Journal of Mechanical Sciences 190, 106005, 2021
572021
An improved chip-thickness model for surface roughness prediction in robotic belt grinding considering the elastic state at contact wheel-workpiece interface
C Qu, Y Lv, Z Yang, X Xu, D Zhu, S Yan
The International Journal of Advanced Manufacturing Technology 104, 3209-3217, 2019
362019
On energetic evaluation of robotic belt grinding mechanisms based on single spherical abrasive grain model
Z Yang, X Xu, D Zhu, S Yan, H Ding
The International Journal of Advanced Manufacturing Technology 104, 4539-4548, 2019
212019
Research progress in robotic grinding technology for complex blades
D Zhu, X Xu, C Jiang, W Li
Acta Aeronautica et Astronautica Sinica 42 (10), 524265, 2021
182021
Analysis and prediction of surface roughness for robotic belt grinding of complex blade considering coexistence of elastic deformation and varying curvature
XH Xu, ST Ye, ZY Yang, SJ Yan, DH Zhu, H Ding
Science China Technological Sciences 64 (5), 957-970, 2021
172021
Experimental investigation and modeling of material removal characteristics in robotic belt grinding considering the effects of cut-in and cut-off
X Xu, Y Chu, D Zhu, S Yan, H Ding
The International Journal of Advanced Manufacturing Technology 106, 1161-1177, 2020
162020
A vision-based human-robot collaborative system for digital twin
S Yi, S Liu, X Xu, XV Wang, S Yan, L Wang
Procedia CIRP 107, 552-557, 2022
142022
Condition monitoring and mechanism analysis of belt wear in robotic grinding of TC4 workpiece using acoustic emissions
X Xu, Z Yang, Q Liu, S Yan, H Ding
Mechanical Systems and Signal Processing 188, 109979, 2023
112023
A robotic belt grinding force model to characterize the grinding depth with force control technology
X Xu, Y Yang, G Pan, D Zhu, S Yan
Intelligent Robotics and Applications: 11th International Conference, ICIRA …, 2018
72018
Information diffusion for few-shot learning in robotic residual errors compensation
Z Yang, X Xu, C Li, S Yan, SS Ge, H Ding
International Conference on Intelligent Robotics and Applications, 637-647, 2022
52022
Optimal configuration for mobile robotic grinding of large complex components based on redundant parameters
Z Yang, X Xu, X Wang, W Cai, S Yan, SS Ge, H Ding
IEEE Transactions on Industrial Electronics, 2023
42023
Dynamic compliant force control strategy for suppressing vibrations and over-grinding of robotic belt grinding system
Z Yang, X Xu, M Kuang, D Zhu, S Yan, SS Ge, H Ding
IEEE Transactions on Automation Science and Engineering, 2023
42023
Knowledge-wrapping method for prediction and evaluation of material removal behavior in robotic belt grinding
Z Yang, X Xu, J Li, D Zhu, S Yan, SS Ge, H Ding
Mechanical Systems and Signal Processing 208, 110914, 2024
22024
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