BEAM_IDL – MULTIPLE LASER BEAM-SHAPING MONITORING AND IDENTIFICATION BOOSTED BY DEEP-LEARNING ALGORITHMS

Increasing demand for Aluminum (Al) in manufacturing Electric Vehicles (EV) – especially in battery closures and chassis attachments – requires optimized laser welding schemes. Intrinsic Aluminum-associated welding issues are being overcome with new dynamic and adaptable laser beam approaches, mainly to increase laser-material interaction. Process control for these new laser manufacturing scenarios requires novel in-process monitoring strategies demanding pattern and process event recognition. BEAM-IDL proposes applying optimized DL algorithms for visible and infrared (IR) laser welding process image recognition. This novel approach will allow, in the future, link feature extraction with process parameters, opening the gate to novel process optimization.