About this Abstract |
Meeting |
2020 TMS Annual Meeting & Exhibition
|
Symposium
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Additive Manufacturing Fatigue and Fracture IV: Toward Confident Use in Critical Applications
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Presentation Title |
A Zone-based, Probabilistic Damage Tolerance Framework for AM Components |
Author(s) |
James Sobotka, R. Craig McClung, Michael Enright, Jonathan Moody, Yi-Der Lee, Vikram Bhamidipati |
On-Site Speaker (Planned) |
James Sobotka |
Abstract Scope |
Additive manufacturing (AM) processes can introduce a variety of potential material anomalies (e.g., lack-of-fusion defects, gas-entrapped pores, and surface roughness) throughout a component. Under cyclic loading, these anomalies can lead to crack formation, fatigue crack growth, and fracture. For higher-criticality parts, a zone-based probabilistic damage tolerance framework has been proposed by Gorelik (Int. J. Fatigue, 2017) to ensure structural integrity of AM parts. This framework enables analyses that combine material variability, geometric complexity, and defect distributions to determine zone-level and component-level probabilities of failure. This probabilistic framework enables analysts to quantify uncertainty inherent in materials/components susceptible to inherent material anomalies that can potentially form a crack anywhere. This presentation discusses this framework and its implementation within the engineering software DARWIN®. This presentation will showcase aspects of probabilistic damage tolerance analysis relevant to AM, including the incorporation of residual stresses, non-destructive inspection, and inverse analysis modes. |
Proceedings Inclusion? |
Planned: Supplemental Proceedings volume |