About this Abstract |
Meeting |
Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
|
Symposium
|
Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
|
Presentation Title |
(On Demand) Computationally Derived Correlations Between Segregation, Microstructure Variations and Process-induced Cracks in AM |
Author(s) |
Chizhou Fang, Hector Basoalto, Magnus J. Anderson, Yu Lu, Prashant Jadhav, Sourabh Supanekar, Mohammad Ahmed |
On-Site Speaker (Planned) |
Chizhou Fang |
Abstract Scope |
A multiscale materials modelling framework for selective laser melting (SLM) of precipitate strengthened nickel-based superalloys is presented. The approach accounts for physical phenomena over a number of length and temporal scales associated with solid-liquid-vapour transitions, solidification microstructures (grains and precipitation of γ′) and defects, as well as the development of residual stress states. Numerical simulations of the emerging microstructure and properties as a function of process parameters are presented with a high γ′ volume fraction superalloy. Correlations between processing conditions and failure are explored through assessing the predicted chemical segregation and the mechanical driving forces acting on grain boundaries using crystal plasticity. From the numerical solutions of the microstructure, composition and mechanical fields correlations for process induced conditions are established. The model predictions are compared with available experimental characterisation of AM builds, and show reasonable agreement. |
Proceedings Inclusion? |
Undecided |