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 ...)

Robotics & Machine Learning Daily News2024，Issue(Apr.22) ：51-52.

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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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Abstract

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.”

Key words

Shanghai/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/East China University of S cience and Technology

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出版年

2024

Robotics & Machine Learning Daily News

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