“For additive manufacturing (AM) to be successfully implemented into the Army’s supply chain, it is essential to be able to produce parts of consistent performance even if different machines are used at different locations,” said Aaron LaLonde, US Army technical specialist. “Today, that is much easier said than done.”
Plans are for the company to use its AM machine learning software to develop process parameters and establish a process model that works for different AM machines. This could help reduce the cost of material and process development, Senvol said.
The project, entitled “Applying machine learning to ensure consistency and verification of AM machine and part performance across multiple sites”, began in March 2023 and will continue until March 2025.