首页|Researchers from Case Western Reserve University Provide Details of New Studies and Findings in the Area of Machine Learning (Image-based Fracture Surface Defec t Characterization Methods for Additively Manufactured Ti-6al-4v Tested In Fatig ue)
Researchers from Case Western Reserve University Provide Details of New Studies and Findings in the Area of Machine Learning (Image-based Fracture Surface Defec t Characterization Methods for Additively Manufactured Ti-6al-4v Tested In Fatig ue)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news originatingfrom Cleveland, Ohio, by NewsRx co rrespondents, research stated, “Fatigue initiation in additively manufacturedsa mples/parts often occurs at processed-induced defects such as lack-of-fusion (Lo F), keyhole,or other morphological/microstructural defects that have unique cha racteristics and measurable qualities.
ClevelandOhioUnited StatesNorth an d Central AmericaCyborgsEmerging TechnologiesMachine LearningCase Wester n Reserve University
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