Litcius/Paper detail

Machine learning-based modeling of the coupling effect of strain rate and temperature on strain hardening for 5182-O aluminum alloy

Hongchun Shang, Pengfei Wu, Yanshan Lou, Jizhen Wang, Qiang Chen

2022Journal of Materials Processing Technology78 citationsDOI

Topics & Concepts

Hardening (computing)Materials scienceStrain hardening exponentAlloyStrain rateArtificial neural networkCoupling (piping)AluminiumPlasticityUltimate tensile strengthPolynomialSofteningMechanicsComposite materialStructural engineeringComputer scienceMathematicsMathematical analysisArtificial intelligencePhysicsEngineeringLayer (electronics)High-Velocity Impact and Material BehaviorMetallurgy and Material FormingMicrostructure and mechanical properties
Machine learning-based modeling of the coupling effect of strain rate and temperature on strain hardening for 5182-O aluminum alloy | Litcius