J. T. Pacheco

Application of Machine Learning for Defect Mitigation and Roughness Estimation in EHLA AM Process

This study presents a data-driven methodology for optimizing Extreme High-Speed Laser Cladding (EHLA) processing parameters with the aim of identifying defect-free conditions and controlling surface roughness. The proposed approach combines experimental analysis, machine learning and experimental validation. In the f...