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A comparative study on phenomenological and artificial neural network models for high temperature flow behavior prediction in Ti6Al4V alloy

Murat Mert Uz, Afife Binnaz Hazar Yoruç, Okan Cokgunlu, Cahit Sertaç Aydoğan, Guney Guven Yapici

2022Materials Today Communications18 citationsDOI

Topics & Concepts

Materials scienceArtificial neural networkTitanium alloyAlloyPhenomenological modelArtificial intelligenceMetallurgyCondensed matter physicsComputer sciencePhysicsMetallurgy and Material FormingMicrostructure and mechanical propertiesTitanium Alloys Microstructure and Properties
A comparative study on phenomenological and artificial neural network models for high temperature flow behavior prediction in Ti6Al4V alloy | Litcius