|About this Abstract
||7th World Congress on Integrated Computational Materials Engineering (ICME 2023)
||Development of Digital Model Predicting Mechanical Properties of Inconel 718 for Powder Based Additive Manufacturing
||Parimal Maity, Mohit Singhal, Jacob Kallivayalil
|On-Site Speaker (Planned)
Recent evolutions in additive manufacturing (AM) technologies have provided significant opportunities to realize organic shape designs while concurrently achieving material properties to meet functional performance requirements. In this effort, an integrated multi-scale model has been developed to demonstrate process - microstructure - property relations. A numerical method has been established to determine local temperature gradients (TG) and cooling rates (CR) as outputs at the melt pool level. These outputs are taken as input to micro scale phase-field models to predict as-grown solidification microstructures for a range of input AM process parameters. Phase field predictions for solute distribution and evolution of γ' and γ'' precipitates during post process after AM have also been developed. Experimental results for model calibration and property validation are discussed.