| About this Abstract |
| Meeting |
2020 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing for Energy Applications II
|
| Presentation Title |
Probabilistic Component Acceptance Method as an Additive Manufacturing Qualification Approach |
| Author(s) |
George Griffith, Isabella van Rooyen |
| On-Site Speaker (Planned) |
George Griffith |
| Abstract Scope |
Abstract:
Additive manufacturing (AM) methods are complex and involve many steps. As a component transforms through design, raw materials, processing and inspection a large amount of data can potentially be collected. As modern AM qualification methods are evolving and maturing, AM qualification processes will be likely challenged by historic paradigms established for current nuclear industry fabrication processes. Modern AM processes allows for more complex component designs and acceptance of AM fabricated components will be perceived to become also more complex with the associated larger datasets. We are proposing a probabilistic component acceptance method based on performance evaluation methods. This approach will allow conservative best component characterization and understanding from the complete fabrication process to apply to the part acceptance. We provide basic examples from safety evaluations and component acceptance evaluations. |
| Proceedings Inclusion? |
Planned: Supplemental Proceedings volume |