Litcius/Paper detail

A novel approach based on the elastoplastic fatigue damage and machine learning models for life prediction of aerospace alloy parts fabricated by additive manufacturing

Zhixin Zhan, Hua Li

2020International Journal of Fatigue174 citationsDOI

Topics & Concepts

AerospaceArtificial neural networkParametric statisticsRandom forestVibration fatigueStructural engineeringParametric modelWork (physics)Fatigue testingComputer scienceMaterials scienceEngineeringMechanical engineeringMachine learningAerospace engineeringMathematicsStatisticsAdditive Manufacturing Materials and ProcessesAdditive Manufacturing and 3D Printing TechnologiesManufacturing Process and Optimization
A novel approach based on the elastoplastic fatigue damage and machine learning models for life prediction of aerospace alloy parts fabricated by additive manufacturing | Litcius