About this Abstract |
Meeting |
6th World Congress on Integrated Computational Materials Engineering (ICME 2022)
|
Symposium
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6th World Congress on Integrated Computational Materials Engineering (ICME 2022)
|
Presentation Title |
Multiscale Modeling of Microstructure Formation in Directed Energy Deposition for Nickel-Based Superalloys |
Author(s) |
Lang Yuan, Siyeong Ju, Shenyan Huang, Yiming Zhang, Yang Jiao, Chen Shen, Hyeyun Song, Luke Mohr, Lee Kerwin, Jason Parolini, Changjie Sun, Alex Kitt |
On-Site Speaker (Planned) |
Lang Yuan |
Abstract Scope |
Directed Energy Deposition (DED) is one of the enabling metal additive manufacturing technologies to print functionally graded materials. In DED, the complex thermal history determines the as-built microstructures and defects. In this study, a physics-based process model was developed and validated against in-situ process monitoring data, predicting the materials deposition process with transient thermal profiles. The temperature profiles were then coupled into a highly parallel solidification microstructure model to predict the grain structures at both the meso- and micro-scale. The multiscale model, taking inputs from theoretical solutions from solidification theory and thermodynamic modeling, was applied to study the nucleation and grain growth in single tracks and thin walls for two nickel-based superalloys, IN718 and Rene 80. The predictions are compared against materials characterizations. Its application to assist the materials design and process development for functionally graded materials in DED were discussed and demonstrated, illustrating a powder tool implementing ICME approach. |
Proceedings Inclusion? |
Definite: Other |