| About this Abstract |
| Meeting |
2021 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing of Metals: Applications of Solidification Fundamentals
|
| Presentation Title |
Influence of Processing Parameters and Geometry Effects on Residual Stress Development in Laser Powder Bed Fusion Additive Manufacturing |
| Author(s) |
Anna K. Hayes, Krishna Muralidharan |
| On-Site Speaker (Planned) |
Anna K. Hayes |
| Abstract Scope |
Processing parameters have been shown to have significant effects on the magnitude and distribution of residual stresses in laser powder bed fusion (LPBF) additive manufacturing due to dynamically evolving temperature gradients and cooling rates during solidification. This work investigates the interplay between selection of processing parameters and geometry on residual stress development. Finite element modeling is used for conducting a parametric study considering changes to energy input and build plate temperature and their effect on residual stress in geometries as a function of part size, number of layers, and heat conduction pathways in overhanging structures. By examining a variety of part geometries in conjunction with process parameters, and leveraging neural network based machine learning techniques, a constitutive relationship between temperature gradients, key processing parameters, and geometry effects is established to develop a better understanding of residual stress control in LPBF. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Modeling and Simulation, Machine Learning |