| About this Abstract |
| Meeting |
Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
|
| Symposium
|
Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
|
| Presentation Title |
Advanced Computational Module for Microstructural Prediction in Metal Additive Manufacturing |
| Author(s) |
Hamed Hosseinzadeh, Mark Horstemeyer |
| On-Site Speaker (Planned) |
Hamed Hosseinzadeh |
| Abstract Scope |
One of the challenges in metal additive manufacturing is the prediction of microstructure achieved by the complex heat input during 3D printing. The local grain topology and precipitates’ formation/distribution are the features that our codes can simulate. However, all these features cannot be predictable by one computational method. So, this code uses discrete (Cellular Automata) and continuous (Fickian model) methods. The code has been designed and developed to accelerate microstructural engineering in metal additive manufacturing, focusing on the direct metal deposition method. |
| Proceedings Inclusion? |
Undecided |