The Defense Logistics Agency (DLA) in the US recently announced that it has awarded a grant to 3D printing software company Senvol for a project entitled ‘Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control’.
Senvol will focus on demonstrating that the data from various additive manufacturing (AM) in-situ monitoring sensors can be analyzed to accurately predict a part’s mechanical performance.
‘The goal of this project is to demonstrate that parts of equivalent mechanical performance can be made on two different additive manufacturing machines, and that a suite of in-situ monitoring equipment is able to collectively provide sufficient data to monitor the process signatures and ensure that the additive manufacturing process will indeed yield equivalent parts,’ said Senvol President Annie Wang.
During the project, Senvol will implement advanced in-situ monitoring systems of various modalities into one or more laser powder bed fusion AM machines and will analyze the data collected from these systems using real-time data processing algorithms (e.g. computer vision algorithm) to extract data (i.e. process signatures), and data-driven machine learning algorithms to relate material properties and mechanical performance to process signatures.
This story is reprinted from material from Senvol, with editorial changes made by Materials Today. The views expressed in this article do not necessarily represent those of Elsevier.