首页|Findings from East China University of Science and Technology Yields New Data on Machine Learning (Traditional Machine Learning and Deep Learning for Predicting Melt-pool Cross-sectional Morphology of Laser Powder Bed Fusion Additive ...)
Findings from East China University of Science and Technology Yields New Data on Machine Learning (Traditional Machine Learning and Deep Learning for Predicting Melt-pool Cross-sectional Morphology of Laser Powder Bed Fusion Additive ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reportingoriginating in Shanghai, People’s Republ ic of China, by NewsRx journalists, research stated, “The intricatenon-equilibr ium and rapid solidification behavior inherent in laser powder bed fusion (LPBF) additivemanufacturing affects the quality and performance of as-built parts. T o evaluate and predict the quality ofLPBF-built parts, engaging in real-time mo nitoring of the LPBF process by leveraging thermal informationderived from the melt pool becomes significant.”
ShanghaiPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningEast China University of S cience and Technology
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