Papers

1

Total Citations

2

H-Index

1

About

Ruizhe Ding is a researcher focused on advanced manufacturing robotics, particularly the emerging paradigm of mobile parallel machining robots. Their key research areas include parallel kinematics, mobile manipulation, and flexible manufacturing systems. In their most cited work, "Simulation Study of Mobile Parallel Machining Robot" (2022), Ding addresses a transformative shift in machining: instead of moving workpieces between stationary machines, robots travel to the workpiece. They designed an autonomous mobile machining unit integrating a parallel robot, electric spindle, and omnidirectional mobile platform. Using SolidWorks for virtual prototyping and MATLAB for kinematic modeling, Ding validated the design through ADAMS simulation, then performed structural and modal analysis in ANSYS. This work identified critical weak points—the Hooke joint near the upper platform, the spindle tool holder, and the mobile platform bumper—providing clear targets for structural optimization. Though early in their career with 2 citations to date, this foundational study establishes a virtual prototyping methodology essential for developing flexible, reconfigurable manufacturing systems. Ding’s contributions are paving the way for more adaptive, mobile robotic solutions in modern production environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Simulation Study of Mobile Parallel Machining Robot
2 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: North China University of Water Resources and Electric Power

Top Papers

  1. 1

Key Collaborators

Contact & Links

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