Litcius/Paper detail

Digital twin modeling for stress prediction of single-crystal turbine blades based on graph convolutional network

Sheng Mou, Kun Bu, Shengjie Ren, Jun Liu, Haoyu Zhao, Zhexu Li

2024Journal of Manufacturing Processes26 citationsDOI

Topics & Concepts

Turbine bladeFinite element methodvon Mises yield criterionTurbineMaterials scienceInvestment castingStress (linguistics)GraphMechanical engineeringCastingComputer scienceStructural engineeringEngineeringComposite materialPhilosophyTheoretical computer scienceLinguisticsMoldThermography and Photoacoustic TechniquesAdditive Manufacturing Materials and ProcessesWelding Techniques and Residual Stresses
Digital twin modeling for stress prediction of single-crystal turbine blades based on graph convolutional network | Litcius