首页|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)
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)
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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.”
Uttar PradeshIndiaAsiaAlloysCybo rgsEmerging TechnologiesMachine LearningIndian Institute of Technology (II T) Kanpur
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