About this Abstract |
Meeting |
2020 TMS Annual Meeting & Exhibition
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Symposium
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Additive Manufacturing: Advanced Characterization with Synchrotron, Neutron, and In Situ Laboratory-scale Techniques
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Presentation Title |
Thermomechanical Model Residual Stress Prediction Assessment for Stainless Steel 316L Laser Powder Bed Fusion Components |
Author(s) |
Nicholas Bachus, Donald W. Brown, Robert M. Ferencz, Rishi K. Ganeriwala, Michael R. Hill, Neil E. Hodge |
On-Site Speaker (Planned) |
Nicholas Bachus |
Abstract Scope |
During the additive manufacturing process, residual stress is introduced by the large thermal gradients present in the components as they are built in a layer by layer approach. As we demand additive manufacturing to be more flexible in the pursuit of engineering solutions, we need novel build strategy approaches to control residual stress distributions, as well as models to accurately forecast component characteristics. A set of samples, each with an identical feature built via a distinct protocol are produced, predicted, and evaluated. A total of three samples are produced: the first with a square notch near the build top free surface, the second with the notch built directly above the build plate, and the third with no notch. The residual stress distribution for each sample are predicted by leveraging Lawrence Livermore’s Diablo thermomechanical finite element simulations and compared against neutron diffraction measurements at the Los Alamos SMARTS diffractometer. |
Proceedings Inclusion? |
Planned: Supplemental Proceedings volume |