Sensory Tool Holder for Thrust Measurement and Predictive Modeling of PCD Drill Life in Drilling

Abstract

This research presents a systematic investigation of thrust force measurement and tool life modeling for drilling ceramic base on silicon dioxide tiles using a sensory tool holder (STH) integrated with polycrystalline diamond (PCD) drill bits. A piezoelectric sensing scheme is employed in STH to capture dynamic thrust forces during drilling under industrially relevant conditions. Thrust force data from repeated drilling operations are fitted to a quadratic-logarithmic life curve, relating the number of holes drilled to mean thrust force. Fifteen geometric features of PCD drills are measured; LASSO is used to select the most influential parameters for modeling the lifecurve coefficients. Subsequently, support vector regression constructs predictive models for the life-curve coefficients based on these selected features. The model achieves approximately 5% error relative to measured thrust magnitudes. The proposed approach offers a reliable tool life prediction framework to guide PCD drill geometry optimization and quality control, reducing operational risks and costs in ceramic tile installation.