| About this Abstract |
| Meeting |
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
|
| Symposium
|
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
|
| Presentation Title |
Thermal Stress Prediction in in Laser Powder Bed Fusion |
| Author(s) |
Tao Liu, Edward C. Kinzel, Ming C. Leu |
| On-Site Speaker (Planned) |
Tao Liu |
| Abstract Scope |
Residual stresses, caused by non-uniform heating, in the parts produced by laser powder bed fusion (LPBF) can lead to geometric errors as well as mechanical defects such as cracks. This paper presents the potential for predicting residual stresses in-process using data obtained from in-situ infrared thermography. The measured surface temperature is used to rapidly predict the part’s interior temperature field using a Green’s function approach. The stress field is then predicted from the temperature field and the residual stresses are estimated from an elastic-plastic analysis. The predicted residual stress is compared to experiments LPBF printed cantilevers by measuring the deflection after the parts are removed from the build plate. This method can be used to select process parameters that minimize residual stress, as well as detecting and correcting defects as they occur. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |