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The US Army Research Laboratory (ARL) has awarded a contract to Senvol that will see its Machine Learning (ML) software used to help design and qualify 3D printed missile parts.
As part of the program, Senvol is set to leverage its ML algorithms to develop a flexible ‘qualification plan,’ that can be applied to any 3D printing method, component or machine. According to Annie Wang, President of Senvol, deploying the firm’s ML technology will enable the Army to reduce part lead times and costs, while increasing soldier survivability.
“Senvol will implement data-driven ML technology for the U.S. Army that will substantially reduce the cost of material and part qualification,” said Annie Wang, President of Senvol. “The significant increase in speed will allow the Army to support warfighter readiness by unlocking the full transformative potential that AM offers.”
The ARL is aiming to use Senvol’s ML algorithm to develop a universal method for qualifying 3D printed missile parts. Photo via the ARL.
The military applications of ML algorithms
Senvol is a New York-based software developer that specializes in providing businesses with sufficient data to incorporate 3D printing into their design and production processes. The company initially established an …
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