Desarrollo de técnicas de Inteligencia Artificial (IA) para su implementación en los procesos de fabricación aditiva

This work focuses on the development of Artificial Intelligence (AI) techniques applied to directed energy deposition (DED) processes in additive manufacturing. The research aims to find correlations through AI models between process parameters and the geometry of the additive layer. By implementing machine learning algorithms, complex relationships are explored, linking factors such as deposition speed, temperature, and other process parameters to the geometric characteristics of the deposited layers. This approach optimizes the quality and efficiency of additive manufacturing by precisely understanding how adjustments in process parameters impact the final structure. Promising results indicate that AI plays a crucial role in the continuous improvement of DED processes, paving the way for a more efficient and precise additive manufacturing.