Senvol, an analytics firm focused on additive manufacturing (AM), has been awarded a grant by The National Institute of Standards and Technology (NIST) for a project titled, “Continuous Learning for Additive Manufacturing Processes Through Advanced Data Analytics.”
The project will “demonstrate the power of a data-driven, machine learning approach for additive manufacturing process understanding and material characterization,” said Yan Lu, a Senior Research Scientist at NIST. “Senvol will showcase hybrid modeling, whereby physics-based models and data-driven models are joined under a single framework.”
Specifically, Senvol seeks to establish Process-Structure-Property relationships in AM. Senvol ML, Senvol’s data-driven machine learning software, will be used to conduct the analyses. The data will come from NIST’s various round-robin test studies, as well as from its AM Benchmark Test Series.
The project will culminate with an integration between Senvol ML and NIST’s AM Material Database (AMMD) such that data stored within AMMD can be seamlessly analyzed by Senvol’s machine learning software.