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)
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Presentation Title |
Towards Experimentally-Informed Modeling of Conduction for Improved Finite Element Thermal Prediction of Wire-Arc Directed Energy Deposition |
Author(s) |
Ally Cummings, Walker Jarrell, Matthew W. Priddy |
On-Site Speaker (Planned) |
Ally Cummings |
Abstract Scope |
Wire-arc directed energy deposition (arc-DED) is a metal-based additive manufacturing process known for its high deposition rates, which enable the production of medium to large-scale components. Due to the cyclic heating and cooling associated with this process, residual stresses and distortion are experienced within the part. Finite element analysis (FEA) can be used to predict the thermomechanical response of parts printed using arc-DED. FE models have previously consisted of the part and substrate with boundary conditions representing effects of the assembly to minimize computational time. However, these boundary conditions are not physically motivated, but rather calibrated to match experimental data. This work explores a more informed modeling approach that includes the assembly to accurately simulate conductive heat transfer, which is known to play a significant role in the thermal profile of the part. This model offers improved thermal predictions and increased repeatability across different parts by reducing model calibration requirements. |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |