Cutting-Force Modeling Study on Vibration-Assisted Micro-Milling of Bone Materials

Area of Science:

• Biomedical Engineering
• Materials Science
• Surgical Technology

Background:

• Bone-material removal in surgery presents challenges in precision and patient recovery.
• Minimizing cutting forces is crucial for enhancing surgical safety and improving post-operative outcomes.
• Vibration-assisted micro-milling offers a potential solution for controlled bone-material removal.

Purpose of the Study:

• To investigate vibration-assisted micro-milling for bone-material removal.
• To develop a predictive model for cutting forces in 2D vibration-assisted micro-milling of bone.
• To experimentally validate the model and identify optimal machining parameters for reduced cutting force and improved surface quality.

Main Methods:

• Development of a predictive cutting-force model considering bone anisotropy and tool kinematics.
• Establishment of an experimental platform for micro-milling bone materials.
• Conducting experiments varying cutting direction, amplitude, and frequency to analyze cutting force.

Main Results:

• A predictive model for cutting forces in vibration-assisted micro-milling of bone was developed.
• Experimental validation confirmed the model's accuracy in estimating cutting forces.
• Appropriate selection of machining parameters effectively minimized cutting forces during the process.

Conclusions:

• Vibration-assisted micro-milling is a viable technique for bone-material removal.
• The developed model provides guidance for optimizing cutting parameters.
• This technology can enhance surgical safety and facilitate patient recovery.