首页|Researchers at Technical University Munich (TU Munich) Report New Data on Machin e Learning (An Integrated Approach for Detecting and Classifying Pores and Surfa ce Topology for Fatigue Assessment 316l Manufactured By Powder Bed Fusion of Met als ...)
Researchers at Technical University Munich (TU Munich) Report New Data on Machin e Learning (An Integrated Approach for Detecting and Classifying Pores and Surfa ce Topology for Fatigue Assessment 316l Manufactured By Powder Bed Fusion of Met als ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - A new study on Machine Learning is now available. According to news originating from Bavaria, Germany, by NewsRx correspondents, research stated, “This research aims to detect and analyze criticalinternal and surface defects in metal components manufactured by powder bed fusion of metals using alaser beam (PBF-LB/M). The aim is to assess their impact on the fatigue behavior.”
BavariaGermanyEuropeAlgorithmsCy borgsEmerging TechnologiesMachine LearningTechnical University Munich (TU Munich)
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