Senvol has been awarded a contract with the United States Army Research Laboratory (ARL) to use its machine learning software to design additive manufacturing (AM) missile parts.
The companies plan to fabricate a missile part and evaluate how close the actual performance requirements are, compared to those predicted by the Senvol ML software, in order to determine whether or not the part should be qualified.
According to the company, its Senvol machine learning (ML) software can help qualify AM processes and develop AM-specific material designs while minimizing data generation requirements. The software is flexible and can be applied to any AM process, any AM machine, and any AM material, Senvol said.
‘Additive manufacturing is a promising technology that could be used to enable multiple Army Modernization Priorities applications,’ said Stephanie Koch, ARL advanced manufacturing, materials, and processes program (AMMP) manager. ‘Despite the potential that additive manufacturing offers, the rate of adoption is very slow due to the high cost and time associated with the design, qualification, and certification of additively manufactured parts.’
Senvol’s partners on the program include Lockheed Martin Missiles and Fire Control, EWI, and Pilgrim Consulting.
This story uses material from Senvol, with editorial changes made by Materials Today. The views expressed in this article do not necessarily represent those of Elsevier.
