| About this Abstract |
| Meeting |
2024 TMS Annual Meeting & Exhibition
|
| Symposium
|
Recent Advances in Electron Back-Scattered Diffraction and Related Techniques
|
| Presentation Title |
Application of a Differential Evolution Optimization Algorithm on Deformation Extraction from EBSD Patterns |
| Author(s) |
Crestienne Alexandra DeChaine, Ann Choi, Katharina Tinka Marquardt, Marc J. De Graef |
| On-Site Speaker (Planned) |
Crestienne Alexandra DeChaine |
| Abstract Scope |
We report on the quantification of residual stresses in additively manufactured (AM) 316L stainless steel via Electron Backscatter Diffraction (EBSD) using a combination of the dictionary indexing approach and a differential evolution algorithm to extract both a refined pattern center and the deformation tensor from the patterns. The determination of residual stress distributions in AM parts is essential for obtaining an understanding of the influence of manufacturing parameters on the thermal shrinkage and expansion in a constrained geometry. Furthermore, the information gained about the residual stress can be used to optimize the manufacturing parameters to minimize the residual stress. Initial algorithm validation was carried out using an EBSD data set collected from a nano-indented silicon sample. The result of both the silicon and the 316L steel analyses were then compared to a similar analysis using the OpenXY package. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Characterization, Modeling and Simulation, Additive Manufacturing |