Robotics & Machine Learning Daily News2024,Issue(Sep.6) :10-11.

Investigators at Carnegie Mellon University Report Findings in Machine Learning (Machine Learning Prediction of Mechanical Properties In Metal Additive Manufact uring)

Robotics & Machine Learning Daily News2024,Issue(Sep.6) :10-11.

Investigators at Carnegie Mellon University Report Findings in Machine Learning (Machine Learning Prediction of Mechanical Properties In Metal Additive Manufact uring)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News ; Investigators discuss new findings in Machine Learning. According to news originatingfrom Pittsburgh, Pennsylvania, b y NewsRx correspondents, research stated, “Predicting mechanicalproperties in m etal additive manufacturing (MAM) is essential for ensuring the performance and reliabilityof printed parts, as well as their suitability for specific applicat ions. However, conducting experimentsto estimate mechanical properties in MAM p rocesses can be laborious and expensive, and they are oftenlimited to specific materials and processes.”

Key words

Pittsburgh/Pennsylvania/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Ca rnegie Mellon University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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