首页|New Machine Learning Study Findings Recently Were Reported by Researchers at Fra unhofer Institute of Mechanical Materials (Digital Methods for the Fatigue Asses sment of Engineering Steels)
New Machine Learning Study Findings Recently Were Reported by Researchers at Fra unhofer Institute of Mechanical Materials (Digital Methods for the Fatigue Asses sment of Engineering Steels)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting originating in Freibu rg, Germany, by NewsRx journalists, research stated, “Engineeringsteels are use d for a wide range of applications in which their fatigue behavior is a crucial design factor.The fatigue properties depend on various influencing factors such as chemical composition, heat treatment,surface properties, load parameters, m icrostructure, and others.”
FreiburgGermanyEuropeCyborgsEmer ging TechnologiesEngineeringMachine LearningFraunhofer Institute of Mechan ical Materials