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Senvol receives US Army Grant for Additive Manufacturing Consistency

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Senvol receives US Army Grant for Additive Manufacturing Consistency
Senvol ML™ software to reduce material and process development costs/Source: Senvol

Senvol has announced that it has been awarded a US Army grant to demonstrate that additively manufactured parts can perform consistently on different machines in different locations.

The program’s goal is to reduce the cost and lead time of Army ground vehicle systems while also improving performance. Senvol is reducing material and process development costs with its machine learning-based software, Senvol ML™, and enabling the Army to consistently produce high-performance AM parts.

Senvol receives US Army Grant

The programme, which will run from March 2023 to March 2025, will allow Senvol to demonstrate its approach at every stage of the AM process, regardless of material, machine, or even process changes.

“For additive manufacturing to be successfully implemented into the Army’s supply chain, it is essential to be able to produce parts of consistent performance even if different machines are used at different locations. Today, that is much easier said than done. During this program, we are pleased to work with Senvol to demonstrate the use of its machine learning technology to aid in achieving what everyone in the additive manufacturing industry strives for – a truly flexible supply chain.”

– Aaron LaLonde, PhD, Technical Specialist – Additive Manufacturing at the U.S. Army

Senvol President Zach Simkin commented, “Consistency – or a lack thereof – is a problem that nearly everyone in the additive manufacturing industry can relate to. The Army, and DoD in general, has been at the forefront of tackling pressing issues in our industry, and we are pleased to work with them again to demonstrate the use of our machine learning software as a mechanism to ensure consistent part performance across different sites and machines.”

Senvol ML customers come from a wide range of industries, including aerospace, defence, oil and gas, consumer goods, medical devices, and automotive.


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