Prediction of near-β titanium alloy hot deformation behavior through phenomenological and machine learning models
Zhili Hu, Qi Li, Yongzhi Liu, Jiaheng Zhang, Rui Zhang, Lin Hua
Topics & Concepts
Artificial neural networkIsothermal processArrhenius equationArtificial intelligenceDeformation (meteorology)Phenomenological modelMaterials scienceMean absolute percentage errorMachine learningGeneralizationAlgorithmMean squared errorComputer scienceRange (aeronautics)Titanium alloyAtmospheric temperature rangeTitanium aluminideApproximation errorArrhenius plotFlow (mathematics)ViscoplasticityParticle swarm optimizationStrain rateData pointMathematicsHot workingMetallurgy and Material FormingTitanium Alloys Microstructure and PropertiesMicrostructure and Mechanical Properties of Steels