About this Abstract |
Meeting |
2022 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2022)
|
Symposium
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2022 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2022)
|
Presentation Title |
Factorial design data analytics for material parameters in multi-physics modeling of additive manufacturing |
Author(s) |
Amanda Giam, Zhisheng Ye, Wentao Yan |
On-Site Speaker (Planned) |
Amanda Giam |
Abstract Scope |
A bottleneck in Laser Powder-Bed Fusion (L-PBF) metal additive manufacturing (AM) is the quality inconsistency of its products. To avoid costly experimentation, efforts have been invested in computational multi-physics modeling, but effectiveness is limited by parameter uncertainties in the models. In this study, statistical techniques are used to analyze main and interaction effects due to input factor uncertainties on the response melt pool depth in multi-physics models. Data is gleaned from high-fidelity thermal-fluid simulations. A full factorial design, the analysis of variance, half-normal probability plots and multiple linear regression are implemented for screening and sensitivity analysis. Crucial physical phenomena of the L-PBF process related to material parameters are analysed to validate the statistical results with domain knowledge. The consistent results achieved from both statistical and physical analyses provide practical guidance for simulation and experimental communities. |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |