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Meeting 2021 TMS Annual Meeting & Exhibition
Symposium Computational Techniques for Multi-Scale Modeling in Advanced Manufacturing
Presentation Title Microstructural Evolution and Defect Formation During Pulsed and Continuous Selective Laser Melting
Author(s) Ian Mccue, Steven Storck, James Mastandrea, Morgana Trexler
On-Site Speaker (Planned) Ian Mccue
Abstract Scope Laser powder bed fusion additive manufacturing (AM) is a growing technology to produce unique components with complex geometries. However, an obstacle to its wide-spread use is understanding defect formation and microstructural evolution during AM. High energy densities, fast laser-scan speeds, and rapid cooling introduce a variety of defects and grain morphologies within a single melt pool. It is experimentally challenging to capture and assess these details, but insights have been garnered from continuum modeling techniques. Here, we use a high fidelity fluid dynamics model (CFD) – that includes laser ray tracing, recoil pressure, surface tension, and evaporative cooling – to compare and contrast melt pool dynamics during continuous and pulsed selective laser melting. Using a customized post-processing tool and statistical methods, we find that pulsed lasers systems produce higher pore fractions than continuous lasers, with a much smaller “fully dense” regime, but lead to smaller G/R values and refined microstructures.
Proceedings Inclusion? Planned:
Keywords Additive Manufacturing, Computational Materials Science & Engineering, Modeling and Simulation

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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