Litcius/Paper detail

Predicting the multiaxial stress-strain behavior of polyethylene terephthalate (PET) at different strain rates and temperatures above Tg by using an Artificial Neural Network

Fei Teng, Gary Menary, Savko Malinov, Shiyong Yan, John Boyet Stevens

2021Mechanics of Materials24 citationsDOI

Topics & Concepts

Materials sciencePolyethylene terephthalateStress (linguistics)Composite materialArtificial neural networkDeformation (meteorology)Strain rateStrain (injury)BackpropagationWork (physics)Constant (computer programming)Stress–strain curvePlane stressStructural engineeringFinite element methodMechanical engineeringArtificial intelligenceComputer scienceEngineeringLinguisticsProgramming languageInternal medicinePhilosophyMedicineInjection Molding Process and PropertiesAdvanced machining processes and optimizationPolymer crystallization and properties
Predicting the multiaxial stress-strain behavior of polyethylene terephthalate (PET) at different strain rates and temperatures above Tg by using an Artificial Neural Network | Litcius