| About this Abstract |
| Meeting |
MS&T21: Materials Science & Technology
|
| Symposium
|
Additive Manufacturing Modeling and Simulation: Microstructure, Mechanics, and Process
|
| Presentation Title |
Defect Prediction thru Part-scale Simulation |
| Author(s) |
Shawn Hinnebusch, Florian Dugast, Alaa Olleak, Albert C To |
| On-Site Speaker (Planned) |
Shawn Hinnebusch |
| Abstract Scope |
Defect formation within parts is one of the leading issues with additive manufacturing (AM) during the laser powder bed fusion (L-PBF) process. AM parts can fail pre-maturely making it difficult to qualify parts for critical components. For this reason, AM parts are not used to their full potential. A remedy to this issue is using simulations to predict defects before printing. Microscale simulations are computationally expensive because the large number of elements make it impractical to simulate a full-scale simulation. This work makes use of a GPU accelerated process simulation to quickly complete a transient heat transfer model. A layer-by-layer approach is implemented where the results are used to locate potentially problematic areas within the print. In those areas, a microscale simulation is completed to help quantify the defects in those regions. This approach significantly reduces the computational time while still capturing the microscale details required to ensure part quality. |