| About this Abstract |
| Meeting |
2023 TMS Annual Meeting & Exhibition
|
| Symposium
|
Late News Poster Session
|
| Presentation Title |
M-26: Hall-Petch Effect in Crystal Plasticity: Comparing the Predictive Capability of Two Modeling Approaches |
| Author(s) |
Junyan He, Anupam Neogi, Deepankar Pal, Ali Najafi, Grama Bhashyam |
| On-Site Speaker (Planned) |
Junyan He |
| Abstract Scope |
Crystal plasticity (CP) simulations can predict the structure-property relation of additively manufactured parts and how microstructure affects mechanical response. Changes in grain size affect the yield stress, known as the Hall-Petch effect, and can be captured in CP simulations by a uniform but grain-size-dependent initial hardness, or by a spatially nonuniform initial hardness distribution based on the distance to grain boundaries. We study the predictive capability of the two modeling approaches by comparing simulation data with experimental results. A microstructure generation and meshing code is used to generate synthetic microstructures, and material calibration is done with experimentally measured yield stress at various grain sizes. The predictive capability is tested by predicting the yield stress on different grain sizes. In addition, the effects of the two modeling approaches on the homogenized stress-strain response and the statistics of the microscopic stress distribution (e.g., mean, standard deviation, kurtosis) are studied. |
| Proceedings Inclusion? |
Undecided |
| Keywords |
Modeling and Simulation, ICME, |