首页|Investigators at Carnegie Mellon University Report Findings in Machine Learning (Machine Learning Prediction of Mechanical Properties In Metal Additive Manufact uring)
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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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.”
PittsburghPennsylvaniaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningCa rnegie Mellon University
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