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 ...)

Robotics & Machine Learning Daily News2024，Issue(Jul.23) ：55-56.

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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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Abstract

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.”

Key words

Bavaria/Germany/Europe/Algorithms/Cy borgs/Emerging Technologies/Machine Learning/Technical University Munich (TU Munich)

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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