| About this Abstract |
| Meeting |
Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
|
| Symposium
|
Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
|
| Presentation Title |
Combining Modeling & Measurement in Metals Additive |
| Author(s) |
Anthony D. Rollett, Joseph Pauza, Carter Cocke, Ricardo A. Lebensohn, Ashley D. Spear |
| On-Site Speaker (Planned) |
Anthony D. Rollett |
| Abstract Scope |
Building workflows to predict outcomes in additive manufacturing requires simulation methods that accept input that is known to affect the outcome and run in a reasonable time. An example will be discussed for predicting the microstructure that is formed in powder bed fusion printing. Validating the results against experimental data required judgment about which measures of grain shape and orientation are reasonable statistical measures to use because of the variability of outcome in both experiment and simulation. In another example, the Air Force Simulation Challenges in which predicted (tensor) elastic strain values in certain grains via use of a crystal plasticity spectral code showed excellent agreement for the elastic portion but widening disagreement for the plastic part. The sample was printed in alloy 625 and the experimental data was a combination of stress-strain and high energy diffraction microscopy (HEDM). Reduced order models will be discussed briefly. |
| Proceedings Inclusion? |
Undecided |