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 |
Thermal History Validation of Directed Energy Deposition Process |
Author(s) |
Usman Tariq, Sung-Heng Wu, Frank Liou |
On-Site Speaker (Planned) |
Usman Tariq |
Abstract Scope |
Direct Energy Deposition (DED) incorporates high thermal gradients due to continuous heating and cooling during the deposition of new layers, which can cause serious distortion due to the formation of residual stresses in the final product which decreases the desired quality. One method to optimize the thermal gradient to reduce the residual stresses is to predict required values with the help of FEA and later validate with experimental results. We use the layer-by-layer technique to predict thermal and residual stress which can take much less computational time as compared to the track-by-track method. In the experiment, monitoring the distributed thermal data of substrate and the melting pool of each layer’s deposition is significant. Monitoring each layer's thermal data to validate the FEA model is more convincible. In this study, we would do the numerical model of the DED process and design a comprehensive experiment to validate the DED model. |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |