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Establishing flow stress behaviour of Ti-6Al-4V alloy and development of constitutive models using Johnson-Cook method and Artificial Neural Network for quasi-static and dynamic loading

S. Deb, Akshaya Muraleedharan, R. Jose Immanuel, S.K. Panigrahi, Guillaume Racineux, Surendar Marya

2022Theoretical and Applied Fracture Mechanics52 citationsDOIOpen Access PDF

Topics & Concepts

Materials scienceFlow stressDeformation (meteorology)Strain rateConstitutive equationUltimate tensile strengthSplit-Hopkinson pressure barAlloyArtificial neural networkTitanium alloyViscoplasticityComposite materialStructural engineeringMechanical engineeringMetallurgyArtificial intelligenceComputer scienceFinite element methodEngineeringMetallurgy and Material FormingHigh-Velocity Impact and Material BehaviorAdvanced machining processes and optimization
Establishing flow stress behaviour of Ti-6Al-4V alloy and development of constitutive models using Johnson-Cook method and Artificial Neural Network for quasi-static and dynamic loading | Litcius