| About this Abstract |
| Meeting |
2023 TMS Annual Meeting & Exhibition
|
| Symposium
|
Materials Processing Fundamentals
|
| Presentation Title |
A Mesoscale Thermo-mechanical Numerical Model for Residual Stress Prediction in Laser Powder Bed Fusion Process |
| Author(s) |
Shashank Sharma, Mangesh V Pantawane, Sameehan S Joshi, Narendra B Dahotre |
| On-Site Speaker (Planned) |
Shashank Sharma |
| Abstract Scope |
Residual stress in laser powder bed fusion is one of the pivotal challenges in terms of its application in the energy industry. Impediments in residual stress measurements have created a bottleneck in cost-effective process design, paving way for numerical model-based predictions. In this work, a robust thermal model calibrated (in terms of melt pool geometry) using experiments and high fidelity thermo-fluidic model is constructed, which is coupled with an elastic-plastic (linear isotropic hardening) mechanical model to obtain thermally induced residual stress distribution at mesoscale. The developed model also considers the effect of solid-state phase transformation on residual stresses. To demonstrate model capabilities, the role of essential L-pbf design elements (for material: Ti6AlV4) such as energy density, scan length, and scanning strategy has been evaluated in terms of residual stress and material deformation. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Phase Transformations, Modeling and Simulation |