Robotics & Machine Learning Daily News2024,Issue(Nov.29) :170-171.

Findings from Taiyuan University of Science & Technology Yields Ne w Findings on Machine Learning (Research On Alloy Compositionprocess-wear Prope rties of Medium Manganese Steel Based On Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Nov.29) :170-171.

Findings from Taiyuan University of Science & Technology Yields Ne w Findings on Machine Learning (Research On Alloy Compositionprocess-wear Prope rties of Medium Manganese Steel Based On Machine Learning)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingoriginating from Taiyuan, People’s Republic of China, by NewsRx correspondents, research stated, “To reveal the com plex relationship between the wear properties of medium manganese steel and rela tedparameters, the effects of silicon elements and heat treatment temperature o n the wear properties ofmedium manganese steel under different impact energies were discussed. The microstructure, hardness,impact toughness, and wear resista nce were analyzed by various tests.”

Key words

Taiyuan/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Taiyuan University of Scien ce & Technology

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