首页|Researchers at Missouri University of Science and Technology Release New Data on Machine Learning (Processing Windows for Al-357 By Lpbf Process: a Novel Framew ork Integrating Fem Simulation and Machine Learning With Empirical Testing)
Researchers at Missouri University of Science and Technology Release New Data on Machine Learning (Processing Windows for Al-357 By Lpbf Process: a Novel Framew ork Integrating Fem Simulation and Machine Learning With Empirical Testing)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating from Rolla, Missouri, b y NewsRx correspondents, research stated, “PurposeThis study aims todevelop a h olistic method that integrates finite element modeling, machine learning, and ex perimentalvalidation to propose processing windows for optimizing the laser pow der bed fusion (LPBF) process specificto the Al-357 dation of a 3D heat transfer simulation modelwas conducted to forecast melt pool dime nsions, involving variations in laser power, laser scanning speed,powder bed th ickness (PBT) and powder bed pre-heating (PHB).”
RollaMissouriUnited StatesNorth an d Central AmericaCyborgsEmerging TechnologiesMachine LearningMissouri Un iversity of Science and Technology
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