Birmingham, MI – June 14, 2024 – Quality Magazine, which serves the quality assurance and process improvement needs of today’s manufacturing professional, published an article titled “Exploring the Integration of AI and Machine Learning in AM Aerospace Applications.” The article features Senvol’s current America Makes program that is leveraging machine learning (ML) to accelerate the delta qualification process in additive manufacturing (AM).
The article states:
“Senvol, based in New York, devised an innovative approach, using ML algorithms, to calculate statistically-based material property predictions analogous to material allowables. Within the topic area’s scope, the Senvol team is analyzing numerous changing parameters simultaneously, noting the marginal contribution of each. The research indicates a viable alternative to conventional “point solution” methods, opening the door for a more economically feasible and flexible approach, substantiating that data-driven ML algorithms could significantly reduce the cost of material allowables development. This approach leads to a greater understanding of optimal solutions to overcome the qualification and re-qualification challenges that slow the expansion of this innovative industry.”
To read the full article, click here.
To request a demo of the Senvol ML software, contact Senvol at info@senvol.com for more details.
To learn more about Senvol ML, Senvol’s data-driven machine learning software for AM, click here.
To view more Senvol news stories, click here.