Trumpf enables copper additive manufacturing by combining its TruDisk 1020 with its TruPrint systems.
Optically-driven additive manufacturing is entering uncharted territory with challenging reflective, thermally conductive metals such as copper, finds Andy Extance
The benefits of AI and machine learning in laser processing were discussed by a panel of experts at the show
Power increases across multiple laser technologies are set to bring further benefit to materials processing, Matthew Dale learnt at Photonics West
Forums dedicated to 'Process Control & AI' and 'Quantum technology' will feature in the programme of the 13th AKL 'International Laser Technology Congress'
In laser technology, machine and sensor data are used to monitor a production process. The ever-advancing transformation of production environments in Industry 4.0 and the cyber-physical systems enables these processes to be analyzed in a simpler, more reliable and synergetic manner in the future.
Dr Ben Mills, an EPSRC early career fellow and senior research fellow for the ORC in Southampton, UK, explains how deep learning could be used to enhance laser processing
