Robotics & Machine Learning Daily News2024,Issue(Sep.4) :105-106.

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)

Robotics & Machine Learning Daily News2024,Issue(Sep.4) :105-106.

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

Abstract

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.”

Key words

Freiburg/Germany/Europe/Cyborgs/Emer ging Technologies/Engineering/Machine Learning/Fraunhofer Institute of Mechan ical Materials

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文