A methodology for the optimization of PCD compact core drilling in basalt rock

This work presents an optimization technique using genetic algorithm for efficient core drilling in basalt rock. Optimization of the compact core-drilling problem is based on maximizing a desirability function which accounts for (a) maximizing the drilling feed while minimizing tool-wear progression, (b) minimizing the thrust force and torque (power), and (c) satisfying realistic constraints related to process parameters. The resulting set of optimized cutting parameters is sought in order to make the tool last longer while effectively drilling with high productivity. A room temperature model to relate the experimental data on changing drill forces and torques required by the progressive tool wear, and developed in a previous paper, is used in this study.