Senvol was awarded a United States Army Research Laboratory (ARL) contract to apply its machine learning software, Senvol ML, to rapidly design additive manufactured parts. The software allows the Army to qualify parts across AM processes and platforms, thus reducing the Army’s supply chain lead time. By leveraging ML algorithms, the qualification plan will also be notably more efficient than more traditional qualification plans (i.e. require fewer builds and less time).
Senvol’s partners on the program include Lockheed Martin Missiles and Fire Control, EWI, and Pilgrim Consulting. The contract is administered by the National Center for Manufacturing Sciences (NCMS) through the Advanced Manufacturing, Materials, and Processes Program (AMMP) program.
Ms. Stephanie Koch, ARL’s Manager, said that “Additive manufacturing is a promising technology that could be used to enable multiple Army Modernization Priorities applications. 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. We are very encouraged with Senvol’s approach, and look forward to seeing how we can leverage machine learning to improve processes.”
Senvol President Annie Wang also commented that “Senvol will implement data-driven machine learning technology for the U.S. Army that will substantially reduce the cost of material and part qualification. The significant reduction in cost and the increase in speed will allow the Army to support warfighter readiness by unlocking the full transformative potential that additive manufacturing offers.”
Dr. William E. Frazier, retired Chief Scientist for Material Engineering at NAVAIR and currently President of Pilgrim Consulting, adds, “I’m very pleased to be supporting Senvol on this program. In particular, I’m looking forward to the demonstration. The plan is to fabricate a missile part and evaluate how close the actual performance requirements are compared to those predicted by the Senvol ML software, and to ultimately determine whether or not the part should be qualified.”
Users of Senvol ML include organizations in aerospace, defense, oil & gas, consumer products, medical, and automotive industries, as well as AM machine manufacturers and AM material suppliers.
Credit: Google News