2 papers
math-ph2025
Physics-Informed Mixture Models and Surrogate Models for Precision Additive Manufacturing
Sebastian Basterrech, Shuo Shan, Debabrata Adhikari +1
In this study, we leverage a mixture model learning approach to identify defects in laser-based Additive Manufacturing (AM) processes. By incorporating physics based principles, we…
cs.LG2025
Reinforcement Learning for Synchronised Flow Control in a Dual-Gate Resin Infusion System
Miguel Camacho-Sánchez, Fernando GarcÃa-Torres, Jesper John Lisegaard +3
Resin infusion (RI) and resin transfer moulding (RTM) are critical processes for the manufacturing of high-performance fibre-reinforced polymer composites, particularly for large-s…