About this Abstract |
Meeting |
2023 TMS Annual Meeting & Exhibition
|
Symposium
|
Additive Manufacturing for Energy Applications V
|
Presentation Title |
Role of Predictive Modeling and Uncertainty Quantification in Qualification of Additively Manufactured Alloys |
Author(s) |
David Andersson, Mariyappan Arul Kumar, Laurent Capolungo |
On-Site Speaker (Planned) |
David Andersson |
Abstract Scope |
Additively manufactured (AM) alloys have unique micro-structure features compared to conventionally manufactured materials of the same composition. Interestingly, the micro-structure varies spatially in an AM component. Grain size and shape as well as porosity represent some of the key features that are known to be sensitive to the AM process parameters. The impact on mechanical properties of the micro-structure and its spatial distribution in a component manufactured by, e.g., laser powder bed fusion governs its performance in applications. Understanding and being able to model this relation for properties such as creep and creep-fatigue, including uncertainty quantification, is consequently important for both materials design and qualification. In this talk, the role of predictive modeling, uncertainty quantitation and scale-bridging in designing and qualifying materials and components for nuclear applications will be discussed, both in a general context and with specific applications to conventional and AM materials. |
Proceedings Inclusion? |
Planned: |