|About this Abstract
||2016 TMS Annual Meeting & Exhibition
||Computational Thermodynamics and Kinetics
||Property Prediction of Rapidly Solidified Al Alloys by Computational Thermodynamic & Kinetic Modeling
||Danielle Cote, Baillie McNally, Victor Champagne, Richard Sisson
|On-Site Speaker (Planned)
An understanding of feedstock powder microstructural characteristics and mechanical properties can significantly improve the design of additively manufactured materials. Computational thermodynamic and kinetic models are used to model and predict the microstructural characteristics of aluminum alloy powders. Since powder particles solidify at extremely rapid cooling rates, they are typically in a metastable state upon formation. Consideration for this non-equilibrium condition is addressed by utilizing kinetic models from TC-PRISMA and JMatPro software, in addition to the thermodynamic software Thermo-Calc. Once the microstructural grain size and phases are predicted, an additive model is used to calculate the yield strength and hardness of the powder particles. This model includes strengthening influences from solid solution strengthening, grain size effects, and precipitation. Experimental results are used to verify model predictions for various aluminum alloys.
||Planned: A print-only volume