Litcius/Paper detail

A data-driven machine learning approach to predict the hardenability curve of boron steels and assist alloy design

Xiaoxiao Geng, Zhuo Cheng, Shuize Wang, Chongkuo Peng, Asad Ullah, Hao Wang, Guilin Wu

2022Journal of Materials Science23 citationsDOI

Topics & Concepts

HardenabilityBoronMaterials scienceHot stampingHardening (computing)AlloyCorrelation coefficientMetallurgyStampingQuenching (fluorescence)BorideComputer scienceComposite materialMachine learningPhysicsLayer (electronics)Quantum mechanicsOrganic chemistryChemistryFluorescenceMicrostructure and Mechanical Properties of SteelsHydrogen embrittlement and corrosion behaviors in metalsMetal Alloys Wear and Properties