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)

Robotics & Machine Learning Daily News2024，Issue(Apr.23) ：16-17.

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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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Abstract

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.”

Key words

Nanjing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Light Metals/Machine Learning/Titanium/Nan jing University of Aeronautics and Astronautics

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出版年

2024

Robotics & Machine Learning Daily News

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