| About this Abstract |
| Meeting |
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
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| Symposium
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2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
|
| Presentation Title |
Residual Stress Estimation in a Complex Additively Manufactured Component with an Internal State Variable Material Model |
| Author(s) |
David Pervis Failla, Matthew J. Dantin, Chuyen J. Nguyen, Matthew W. Priddy |
| On-Site Speaker (Planned) |
David Pervis Failla |
| Abstract Scope |
Internal state variable models are well suited to predict the effects of an evolving microstructure as a result of the additive manufacturing (AM) process in components with complex features. As AM becomes more utilized, accurate methods for predicting residual strains grow in need. To this end, the evolving microstructural model of inelasticity (EMMI) is adapted to modeling these residual strains due to its ability to capture the evolution of rate- and temperature-dependent hardening and softening as a result of the rapid thermal cycling present in AM processes. The current effort contrasts the efficacy of using EMMI with an elastic-perfectly plastic material model to predict the residual strains for an IN718 component produced via laser powder bed fusion. Both constitutive models are used within a thermo-mechanical finite element framework and are validated by published neutron diffraction measurements to demonstrate the need for high-fidelity models to predict residual strains in complex components. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |