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Multi-objective optimization of vibration-assisted bone drilling parameters based on CCD and NSGA-II
Ying Han1, Yanchao Guo2,3, Xianzheng Zhou2,3
1Shandong Institute of Commerce and Technology, Jinan, China.
Summary
Optimizing low-frequency vibration-assisted bone drilling minimizes force, temperature, and roughness. This multi-objective approach enhances surgical outcomes and reduces bone tissue trauma.
Area of Science:
- Biomedical Engineering
- Materials Science
- Surgical Technology
Background:
- Bone drilling parameters significantly impact bone tissue trauma and surgical success.
- Coordinating multiple conflicting indicators like force, temperature, and roughness is challenging with single-objective optimization.
Purpose of the Study:
- To conduct multi-objective parameter optimization for low-frequency vibration-assisted bone drilling.
- To minimize drilling force, temperature, and surface roughness simultaneously.
Main Methods:
- Central Composite Design (CCD) for establishing regression models.
- Analysis of variance and residual analysis for model validation.
- Non-dominated Sorting Genetic Algorithm II (NSGA-II) for Pareto optimal solutions.
Main Results:
- Optimal parameters identified: spindle speed 2000 rpm, feed rate 0.18 mm/s, voltage 200 V, frequency 170 Hz.
- Predicted values: 35 N (force), 61°C (temperature), 1.05 μm (roughness).
- Validation experiments showed prediction errors within 15%.
Conclusions:
- The proposed multi-objective optimization method reliably reduces bone drilling damage.
- Combining optimized parameters with pre-cooling further decreased drilling temperature to 50.3°C.
- This method offers significant clinical value for low-damage, high-quality bone drilling surgery.