Robotics & Machine Learning Daily News2024,Issue(Apr.4) :6-6.

Researchers at Indian Institute of Technology (IIT) Kanpur Report New Data on Ma chine Learning (Machine Learning Aided Prediction of Sintering Induced Swelling In Powder Metallurgical Cu-sn Alloys)

Robotics & Machine Learning Daily News2024,Issue(Apr.4) :6-6.

Researchers at Indian Institute of Technology (IIT) Kanpur Report New Data on Ma chine Learning (Machine Learning Aided Prediction of Sintering Induced Swelling In Powder Metallurgical Cu-sn Alloys)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating in Uttar Prades h, India, by NewsRx journalists, research stated, “Powder metallurgyprocessed C u-Sn alloys consolidated via liquid phase sintering (LPS) often contain signific ant amount ofporosity which not only deteriorates their mechanical properties b ut also adversely affects their functionalperformance. During LPS, shrinkage an d swelling are the two competing processes that in turn determinethe extent of porosity and densification behaviour of the sintered alloy.”

Key words

Uttar Pradesh/India/Asia/Alloys/Cybo rgs/Emerging Technologies/Machine Learning/Indian Institute of Technology (II T) Kanpur

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