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Meeting 2021 TMS Annual Meeting & Exhibition
Symposium Computational Techniques for Multi-Scale Modeling in Advanced Manufacturing
Presentation Title Computational Multi-Scale Modeling of Segregation and Microstructure Evolution during the Solidification of A356 Ingots Processed via a 2-Zone Induction Melting Furnace
Author(s) Aqi Dong, Laurentiu Nastac
On-Site Speaker (Planned) Laurentiu Nastac
Abstract Scope In the current study, a stochastic mesoscopic model was applied to predict the evolution of the A356 microstructure (e.g., dendritic morphologies and columnar-to-equiaxed transition formation) in a 2-Zone induction melting and solidification furnace. The influence of process and material parameters on microstructure, such as initial melting temperature, ultrasonic stirring and cavitation, fluid flow conditions, cooling rate, temperature gradient, and nucleation and growth kinetics parameters for both equiaxed and columnar phases are studied. In addition, the macro-segregation of silicon during solidification of A356 in the crucible is also simulated. The results will be helpful for determining the solidification structure, mushy zone evolution in the crucible and assist in developing of comprehensive solidification maps of various Al-based alloys including those used in additive manufacturing.
Proceedings Inclusion? Planned:
Keywords Solidification, Modeling and Simulation, Additive Manufacturing

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

A Parametric Study of Grain Size and Its Volume Fraction Effect on Heterogeneous Materials Mechanical Properties
Computational Modeling of Nanoparticles Dispersion in Hybrid Process of Ink Jetting and Laser Powder Bed Fusion
Computational Multi-Scale Modeling of Segregation and Microstructure Evolution during the Solidification of A356 Ingots Processed via a 2-Zone Induction Melting Furnace
Effect of Nozzle Injection Mode on Initial Transfer Behavior of Round Bloom
Fluid Dynamics Effects on Microstructure Prediction in Single-Laser Tracks for Additive Manufacturing
In Situ and Operando Synchrotron Experiments for Additive Manufacturing Model Validation
Investigation of Powder Spattering in Laser Powder Bed Fusion through Multi-physics Modeling and High-speed Synchrotron X-ray Imaging
Machine-learning Informed Design of High-strength Gradient Metals for Additive Manufacturing
Microstructural Evolution and Defect Formation During Pulsed and Continuous Selective Laser Melting
Microstructure Based Modeling of Friction Stir Welded Joint between Dissimilar Metals Using Crystal Plasticity
Modeling Material Behavior during Continuous Bending Under Tension for Inferring the Post-necking Strain Hardening Response of Ductile Sheet Metals: Application to Dual-phase Steels
Modeling the Role of Local Crystallographic Correlations in Microstructures of Ti-6Al-4V Using a Lamellar Visco-plastic Self-consistent Polycrystal Plasticity Formulation
Multiphysics Simulation of Microstructure Evolution in Selective Laser Melting of AlSi10Mg
Multiscale Crystal Plasticity in Integrated Computational Materials Engineering
Particle Resolved Simulation of Laser Powder-bed Fusion Including Metal Evaporation and Vapor Plume Dynamics
Phase-field Modeling of The Evolution Kinetics of Porous Structure During Dealloying of Binary Alloys
Predicting Mechanical Performance in Additive Manufacturing Components Using Deep Learning
Smoothed Particle Hydrodynamics based approach for 3D Modeling of Linear Friction Welding Process
Study on the In-mold Flow Behavior Driven by a Subsurface Electromagnetic Stirring for IF Steel Slab Casting
Synchrotron Calibrated Lagrangian Particle Tracking of Melt-pool Ejections during Laser Powder Bed Fusion

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