首页|Studies from Shanghai University Yield New Information about Machine Learning (M achine Learning Assisted Prediction and Optimization of Mechanical Properties fo r Laser Powder Bed Fusion of Ti6al4v Alloy)
Studies from Shanghai University Yield New Information about Machine Learning (M achine Learning Assisted Prediction and Optimization of Mechanical Properties fo r Laser Powder Bed Fusion of Ti6al4v Alloy)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting out of Shanghai, People’s Republic of Chi na, by NewsRx editors, research stated, “Due to the complex physical metallurgy phenomena and enormous parameter combination, the traditional trialand-error met hod makes the microstructure tailoring of laser additive manufactured (LAM) for exceptional performance still a major challenge. Here, we presented a machine le arning-based model to facilitate the parameter optimization and microstructure t ailoring of laser powder bed fused (L-PBF) Ti6Al4V alloy with enhanced strengthductility synergy.” Funders for this research include National Key Research & Developm ent Program of China, National Natural Science Foundation of China (NSFC), Natur al Science Foundation of Shanghai, SPMI Project from Shanghai Academy of Spacefl ight Technology, Independent Research Project of State Key Laboratory of Advance d Special Steel, Shanghai Key Laboratory of Advanced Ferrometallurgy, Shanghai U niversity, Science & Technology Commission of Shanghai Municipalit y (STCSM).
ShanghaiPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningShanghai University
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