U.S. Air Force qualifying multi-laser AM with support from Senvol ML Aerospace
A U.S. Air Force program led by the Air Force Research Laboratory (AFRL) and Air Force Life Cycle Management Center (AFLCMC) is leveraging Senvol’s data-driven machine learning software for additive manufacturing to develop a methodology for demonstrating the viability of multi-laser AM systems for flight applications. Specifically, the Senvol ML software platform is being used to analyze an EOS M400-4 quad-laser powder bed fusion machine.