About this Abstract |
Meeting |
2024 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2024)
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Symposium
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2024 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2024)
|
Presentation Title |
A Three-dimensional Semi-analytical Thermo-elastic-plastic Model for Real-time In-situ Prediction of Residual Stress in Laser Powder Bed Fusion |
Author(s) |
Tao Liu, Edward Kinzel, Ming C. Leu |
On-Site Speaker (Planned) |
Tao Liu |
Abstract Scope |
Residual stresses caused by non-uniform heating in parts produced by laser powder bed fusion (LPBF) can lead to geometric distortion and mechanical defects. There is a significant interest in in-situ, real-time predictions of residual stress to optimize printing parameters and enhance feedback control of printing performance. This paper introduces Green's function solutions for simulating three-dimensional (3D) temperature and residual stress fields in LPBF processes. Leveraging a semi-infinite domain, volumetric Gaussian laser profiles, and GPU acceleration, the semi-analytical model achieves high computational efficiency. The model predictions of temperature and residual stress under various scanning strategies are validated by the Finite Element Method (FEM). Furthermore, this 3D semi-analytical model is utilized to predict cantilever beam deformations resulting from different scanning strategies. The predictions align well with experimental results, therefore facilitating the selection of process parameters that minimize residual stress and the proactive detection and correction of defects. |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |