About this Abstract |
Meeting |
2023 TMS Annual Meeting & Exhibition
|
Symposium
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Fatigue in Materials: Fundamentals, Multiscale Characterizations and Computational Modeling
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Presentation Title |
Integrated Computational Modeling to Link Process with Fatigue Behavior for Metal Additive Manufacturing |
Author(s) |
Mehdi Amiri, Katerine Saleme, Maria Emelianenko, Bernhard Peters |
On-Site Speaker (Planned) |
Mehdi Amiri |
Abstract Scope |
We present a computational framework for studying the process-defect-life prediction of additive manufactured metals using a suite of computational models. The laser powder bed fusion (LPBF, process parameters including (laser power, scan speed, etc) are modeled using a novel extended discrete element method (XDEM), which predicts the thermodynamic state and phase change for each powder grain. The surrounding continuous gas and liquid phases are solved with multi-phase computational fluid dynamics (CFD) to determine momentum, heat, gas and liquid transfer. The thermal history obtained in the previous simulations are used to predict microstructure formation through coupling the SPPARKS Kinetic Monte Carlo Simulator. The predicted porosity and microstructure are further used in DREAM.3D to generate synthesized representative volume element (RVE) with embedded porosity. A crystal plasticity finite element (CPFEM) model is used to predict Fatigue Indicator Parameters (FIPs) which capture the driving force responsible for fatigue crack formation. |
Proceedings Inclusion? |
Planned: |
Keywords |
Additive Manufacturing, Computational Materials Science & Engineering, Mechanical Properties |