About this Abstract |
| Meeting |
MS&T25: Materials Science & Technology
|
| Symposium
|
Additive Manufacturing Modeling, Simulation, and Machine Learning: Microstructure, Mechanics, and Process
|
| Presentation Title |
Computational Modeling for Accurate Prediction of Powder Densification and Shape Distortion in Large-Scale Components Using Powder Metallurgy Hot Isostatic Pressing (PM-HIP) |
| Author(s) |
Subrato Sarkar, Jason R Mayeur, KPK Ajjarapu, Fred List, Soumya Nag, Ryan R Dehoff |
| On-Site Speaker (Planned) |
Subrato Sarkar |
| Abstract Scope |
Powder metallurgy hot isostatic pressing (PM-HIP) is an advanced manufacturing process that can efficiently produce near net shape parts with high material utilization and uniform microstructures. While the PM-HIP process is used frequently to produce small-scale components, its application to large-scale components is still limited due to its complex mechanisms involving plastic and visco-plastic behavior that cause unpredictable post-HIP shape distortions. Computational models are frequently used to understand the PM-HIP process and predict its behavior. In this talk, two popular computational models are discussed, emphasizing their benefits and drawbacks. The computational models are applied to large-scale components, and the predictions are compared with experimental observations. |