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Updated: Feb 12, 2026
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Orthopedic Robot-Assisted Femoral Neck System in the Treatment of Femoral Neck Fracture
Published on: March 3, 2023
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Analysis and optimization of bone machining for robotic orthopedic surgeries
Derek J Pell1, Masakazu Soshi1
1Department of Mechanical and Aerospace Engineering, Advanced Research for Manufacturing Systems Laboratory, University of California Davis, California, USA.
Summary
Optimizing robot-assisted surgery tools improves bone cutting. New parameters reduce forces and prevent spindle stalling, enhancing surgical accuracy and performance.
Area of Science:
- Biomedical Engineering
- Robotic Surgery
Background:
- Robot-assisted joint replacement surgery is increasingly common.
- Improving bone-cutting mechanics of surgical tools is crucial.
Purpose of the Study:
- Characterize and optimize bone-cutting mechanics for surgical tools.
- Enhance the efficiency and safety of robot-assisted surgery.
Main Methods:
- Derived linear coefficients for cutting force and chip thickness.
- Integrated coefficients into an analytical simulation for force, torque, and power calculation.
- Conducted optimization experiments with high-speed video analysis.
Main Results:
- Optimized machining parameters significantly lowered cutting forces.
- New conditions prevented surgical spindle stalling observed at current speeds.
- Video analysis confirmed simulation findings and identified anomalies.
Conclusions:
- Slower spindle speeds, decreased cutting depth, and increased feed rates improve surgical performance.
- Enhanced motor torque ensures a smoother bone-cutting process.
- Optimized parameters lead to greater surgical accuracy and efficiency.
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