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Mechanistic Model to Predict Forces in Bone End Milling: An Experimental Study Intended for Bone Grafting Surgery
Jaseem Sajidh N A1,2, Pandithevan Ponnusamy1,2, Roger Narayan3,4
1Department of Mechanical Engineering, Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram, Chennai, Tamil Nadu 600127, India.
Journal of Biomechanical Engineering
|February 26, 2026
Summary
This study developed a mechanistic model to predict forces during bone end milling for graft harvesting. The model accurately predicts forces, helping surgeons avoid damaging bone during orthopedic procedures.
Area of Science:
- Biomaterials Engineering
- Orthopedic Surgery
- Manufacturing Processes
Background:
- Subtractive manufacturing, including milling, is crucial in orthopedic surgery for procedures like implant placement and reconstruction.
- Uncontrolled forces during bone cutting can lead to mechanical damage, such as micro-cracks and fragmentation, compromising surgical outcomes.
- Harvesting bone grafts using milling requires precise force control to preserve graft integrity and host bone quality.
Purpose of the Study:
- To investigate the end milling process for bone graft harvesting.
- To develop and validate a mechanistic model for predicting bone end milling forces.
- To enable pre-estimation of cutting forces to prevent mechanical damage to bone.
Main Methods:
- Developed an analytical description of milling forces, incorporating cutter geometry and bone properties.
- Calculated cutting and edge force coefficients.
- Predicted axial, tangential, and radial force components using the mechanistic model.
- Validated the model's predictions through experimental testing.
Main Results:
- The mechanistic model accurately predicted axial, tangential, and radial forces during bone end milling.
- Experimental validation confirmed the model's predictions aligned well with measured forces.
- The developed model provides a reliable method for estimating forces in bone milling.
Conclusions:
- The mechanistic model successfully predicts bone end milling forces.
- Accurate force prediction allows for the avoidance of mechanical damage to bone during graft harvesting and other orthopedic procedures.
- This research contributes to safer and more effective orthopedic surgeries utilizing subtractive manufacturing techniques.

