| About this Abstract |
| Meeting |
2020 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing: Materials Design and Alloy Development II
|
| Presentation Title |
Uncertainty Quantification in Additive Manufacturing from CALPHAD to ICME Models |
| Author(s) |
Jiadong Gong, Changning Niu, Abhinav Saboo, Jason Sebastian, Greg Olson |
| On-Site Speaker (Planned) |
Jiadong Gong |
| Abstract Scope |
Designing new materials by additive manufacturing (AM) using an ICME approach begins with the use of chemical thermodynamics in the form of phase diagrams used to identify material concepts for further exploration, and ends with the use of chemical thermodynamics in the form of numerical process—structure models that enable optimization and sensitivity analysis of a material’s properties with respect to process conditions. Because the ICME design approach in AM is so dependent on chemical thermodynamics, a design is only as good as the thermodynamic data and models upon which the design is based. QuesTek has built out an uncertainty quantification and management framework applied to CALPHAD thermodynamic databases and ICME models with turnkey-ready user interfaces. In this framework, CALPHAD calculations will be performed in the cloud with a web interface. The uncertainty information will be further applied in QuesTek’s ICME models for AM design and optimization. |
| Proceedings Inclusion? |
Planned: Supplemental Proceedings volume |