首页|Findings from Nanjing University of Aeronautics and Astronautics Update Knowledg e of Machine Learning (Research On Parameter Identification of Fracture Model fo r Titanium Alloy Under Wide Stress Triaxiality Based On Machine Learning)
Findings from Nanjing University of Aeronautics and Astronautics Update Knowledg e of Machine Learning (Research On Parameter Identification of Fracture Model fo r Titanium Alloy Under Wide Stress Triaxiality Based On Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingoriginating in Nanjing, People’s R epublic of China, by NewsRx journalists, research stated, “The abilitiesto desc ribe the fracture behavior and calibrate the relevant parameters are essential f actors in evaluatingductile fracture criteria of titanium alloys. In this study , 14 different shapes and notched specimens weredesigned for uniaxial tensile a nd compression experiments to characterize their ductile fracture behaviors.”
NanjingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesLight MetalsMachine LearningTitaniumNan jing University of Aeronautics and Astronautics
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