New York-based Senvol has received a grant from the National Institute of Standards and Technology (NIST) for a project titled “Continuous Learning for Additive Manufacturing Processes Through Advanced Data Analytics.”
Senvol’s work will focus on demonstrating that data analytics can be applied to additive manufacturing (AM) data to establish process-structure-property relationships. Senvol ML, the company’s data-driven machine learning software for AM, will be used to conduct the analyses. The data to be analyzed will come from NIST’s various round-robin test studies as well as from its AM benchmark test series.
The project will use the software’s model reliability, adaptive sampling, generative learning, hybrid modeling, and transfer learning. Additionally, Senvol will parameterize in-situ monitoring data, NDT data, and microstructure data so that these types of data can be incorporated into NIST’s AM material database (AMMD). The project will culminate with an integration between the software and AMMD such that data stored within AMMD can be seamlessly analyzed by the software.
