Zezhong Sun
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Zezhong Sun has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Dong Gao
School of Mechatronic Engineering, Harbin Institute of Technology, Harbin, China
1 shared publication - Shiwei Liu
School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China
1 shared publication - Yuan Xue
School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China
1 shared publication - Zefan Xu
School of Mechatronics Engineering, Harbin Institute of Technology, No. 92 Xidazhi Street, Harbin 150001, China
1 shared publication
Latest Publications
- Open Access
Stiffness-Oriented Placement Optimization of Machining Robots for Large Component Flexible Manufacturing System
A large component flexible manufacturing system provides more application scenarios for industrial robots, and, in turn, these robots exhibit competitive advantages in machining applications. However, the structural characteristic of low stiffness is the main obstacle for the industrial robot. Aiming at obtaining sufficient stiffness in the whole machining process, this paper focuses on robot placement optimization in the flexible manufacturing of large components. The geometric center of the machined feature is selected as, firstly, the base point, and the center-reachable placement space of the robot base is obtained by establishing the kinematic model considering a variety of motion constraints. Then, according to the reachability of the machining feature contour, the global placement space meeting all machining boundaries is further extracted. The mapping relationship between joint force and posture is established, and the most suitable robot placement is selected based on the criterion of global stiffness optimization. A series of numerical and finite element simulations verify the correctness and effectiveness of the proposed optimization strategy. The developed stiffness-oriented placement planning algorithm can provide beneficial references for robotic machining applications.
Open AccessStiffness-Oriented Placement Optimization of Machining Robots for Large Component Flexible Manufacturing System
A large component flexible manufacturing system provides more application scenarios for industrial robots, and, in turn, these robots exhibit competitive advantages in machining applications. However, the structural characteristic of low stiffness is the main obstacle for the industrial robot. Aiming at obtaining sufficient stiffness in the whole machining process, this paper focuses on robot placement optimization in the flexible manufacturing of large components. The geometric center of the machined feature is selected as, firstly, the base point, and the center-reachable placement space of the robot base is obtained by establishing the kinematic model considering a variety of motion constraints. Then, according to the reachability of the machining feature contour, the global placement space meeting all machining boundaries is further extracted. The mapping relationship between joint force and posture is established, and the most suitable robot placement is selected based on the criterion of global stiffness optimization. A series of numerical and finite element simulations verify the correctness and effectiveness of the proposed optimization strategy. The developed stiffness-oriented placement planning algorithm can provide beneficial references for robotic machining applications.