Machining Parameters Optimization of Ultrasonically-Assisted Drilling Cortical Bone Based on Genetic Algorithm

Ultrasonically-assisted drilling (UAD) is increasingly used in orthopedic surgery. Studies have shown that this method has certain advantages in reducing cutting force, improving surface quality and reducing tool wear. The purpose of this study was to use genetic algorithm (GA) to find the best combination parameters (cutting parameters: feed rate and spindle speed, ultrasonic parameters: frequency and amplitude). First this study builds a platform and central composite design was employed to carry out the bone drilling test. Based on the results, a response surface model was developed, which was used as a fitness function for GA. The investigation showed that the technique of can effectively estimate the optimal setting of bone drilling parameters and ultrasonic vibration parameters for minimum thrust force value, which can provide some guiding significance for clinical medicine to a certain extent.