|About this Abstract
||2018 TMS Annual Meeting & Exhibition
||Computational Thermodynamics and Kinetics
||Optimization of Thermo-mechanical Properties of Alloy Systems via a Computational Strengthening Model
||Derek Tsaknopoulos, Bryer Sousa, Danielle Cote, Richard Sisson, Victor Champagne
|On-Site Speaker (Planned)
With respect to alloy processing and fabrication, current trial-and-error practices add substantial barriers impeding novel alloy qualification and adoption. In turn, a computationally minded technique for alloy optimization is considered herein. Serving as a proof-of-concept, the case under consideration is that of the determination of yield strength for various aluminum alloys. The quantified computational strengthening model employs contributions from solid solution, grain size, dislocation, and precipitation strengthening mechanics. This model makes use of the computed kinetic and thermodynamic outputs from the modeling software Thermo-Calc. Unlike trial-and-error methodologies, the data from these models enable the ability to rapidly prototype a number of different situations, such as differences in processing methods, alloy compositions, and post-processing heat treatments. The effectiveness of this work is determined using thermal, optical, and mechanical characterization methods.
||Planned: Supplemental Proceedings volume