首页|Research Data from East China University of Science and Technology Update Unders tanding of Machine Learning (Machine Learning-assisted Acoustic Emission Monitor ing for Track Formability Prediction of Laser Powder Bed Fusion)
Research Data from East China University of Science and Technology Update Unders tanding of Machine Learning (Machine Learning-assisted Acoustic Emission Monitor ing for Track Formability Prediction of Laser Powder Bed Fusion)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Data detailed on Machine Learning have been presented. According to news reporting originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Laser powder bed fusion (L-PBF) additive manufacturing offers many advantages in directly fabric ating geometrically complex parts. To achieve the optimal L-PBF-built part quali ty, the laser process parameters should be tailored before building or real-time adjusted during building if necessary.”
ShanghaiPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningEast China University of S cience and Technology
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