| About this Abstract |
| Meeting |
Materials Science & Technology 2020
|
| Symposium
|
Additive Manufacturing Modeling and Simulation: AM Materials, Processes, and Mechanics
|
| Presentation Title |
Probabilistic Process Design of Laser Powder Bed Fusion Using Coupled Monte Carlo and Inverse First Order Reliability Method |
| Author(s) |
Lingbin Meng, Xuehui Yang, Xiaoping Du, Brandon A. McWilliams, Jing Zhang |
| On-Site Speaker (Planned) |
Jing Zhang |
| Abstract Scope |
The quality inconsistency due to the existence of uncertainty hinders the widespread applications of laser powder bed fusion (L-PBF) process in some industries. In this work, a novel method is proposed the probabilistic process design problem. The method couples the inverse first order reliability method (I-FORM) with the Monte Carlo simulation (MCS) to improve the efficiency. With the uncertainty level of all the input variables and the target reliability, the method predicts the combinations of the processing parameters that can satisfy the reliability requirement. A case study is presented using the normalized enthalpy criterion as the design requirement. |