|About this Abstract
||2018 TMS Annual Meeting & Exhibition
||Integrative Materials Design III: Performance and Sustainability
||Integrated Materials Theory, Modeling, and Data Analytics for Metal Additive Manufacturing
||Alex Plotkowski, Michael Kirka, Vincent Paquit, Sean Yoder, Ryan Dehoff, Suresh Babu
|On-Site Speaker (Planned)
The relevant physical phenomena in metal additive manufacturing relate from the length scale of dendrite tip growth to that of bulk components. Fully understanding these coupled effects to predict and optimize both process and material characteristics has been a significant challenge facing researchers with wide reaching implications for qualification and certification of industrial components. Work at Oak Ridge National Laboratory has taken a variety of approaches toward modeling and characterizing metal additive processes and material. This presentation will cover the application of fundamental solidification theory, high-fidelity heat and mass transfer modeling, reduced-order heat transfer modeling, materials characterization, in-situ sensing, and data analytics to work towards understanding and predicting interactions between material properties, process parameters, and process outcomes. The ultimate goal of this work is to develop an integrated system that reduces time for materials development and process optimization.
||Planned: Supplemental Proceedings volume