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Meeting Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
Symposium Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
Presentation Title Prediction of Large Domain Microstructure Morphology by a Novel 3-Dimensional Cellular Automata-phase Field Modeling Approach
Author(s) Shunyu Liu, Yung C. Shin
On-Site Speaker (Planned) Shunyu Liu
Abstract Scope This talk presents a novel hybrid approach, called the Cellular Automata-Phase Field model, which can accurately predict the dendrite formation in a large domain, which combines a 2D/3D CA model with a 1D PF component. In this integrated model, the PF component is employed to accurately calculate the local growth kinetics including the growth velocity and solute partition at the solidification front while the 3D CA component uses the growth kinetics as inputs to update the dendritic morphology variation and composition redistribution throughout the entire domain. The CAPF approach can improve the computational efficiency by 5 orders of magnitude over the PF approach. Using this approach, the prediction of microstructure morphology in a large domain is demonstrated based on the temperature field calculated by the accurate thermal model of additive manufacturing. Case study examples are shown for directed energy deposition of Ti6Al4V alloy and laser welding of SS304.
Proceedings Inclusion? Undecided

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

3-Dimensional Microstructure Characterization of Laser Powder Bed Fusion IN625 and IN718
A Combined Experimental and Simulation Campaign of As-built AM IN625 Connecting Microstructure to Part Scale Response
A Regulatory Perspective on ICME / CM and Model-enabled Certification
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AM Bench 2022 -04 Overview of Mechanical Measurements on PBF-L Inconel 625
AM Bench 2022 Macroscale Tensile Challenge at Different Orientations , Part 1: Measurement Description
AM Bench 2022 Macroscale Tensile Challenge at Different Orientations, Part 2: Predictions and Trends
AM Bench 2022 Subcontinuum Mesoscale Tensile Challenge , Part 1: Measurement Description
AM Bench 2022 Subcontinuum Mesoscale Tensile Challenge, Part 2: Predictions and Trends
AM Bench 2022 Thermoplastic Material Extrusion Challenge
Analysis of Existing Hot Tearing Tests and Their Transferability to Additive Manufacturing
Benchmarking Machine Learning Modeling Approaches to Additive Manufacturing Research, Development, and Qualification
Characterization of Laser Powder Bed Fusion Surfaces
Characterizing the Post-build Microstructures of the AM Benchmark Artifacts
Combining Fractal and Topological Analyses to Quantify Fracture Surfaces in Additively Manufactured Ti-6Al-4V
Combining Modeling & Measurement in Metals Additive
Combining Multi-Physics Simulations with Data-Driven Models for Accelerated AM Process Prediction
Computational Materials for Qualification and Certification (CM4QC) Steering Group
Computational Materials in AM: the Incremental Path to Certification Use
Cross-sectional Melt Pool Geometry of Laser-Scanned Tracks and Pads for the 2022 Additive Manufacturing Benchmark Challenges
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Decoupling the Effect of Geometry and Texture on the Mechanical Response of Additively Manufactured IN625 Thin-walled Elements
Defect Prediction on the Base of Thermographic Features in Laser Powder Bed Fusion Utilizing Machine Learning Algorithms
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DigitalClone for Additive Manufacturing (DC-AM): an Integrated Computational Materials Engineering Platform to Model Metal AM Process and Performance
Digitally Twinned Additive Manufacturing: Real-time Detection of Flaws in Laser Powder Bed Fusion by Combining Thermal Simulations with In-situ Meltpool Sensor Data
Effect of Process-specific Defects on the Tensile and Constant-amplitude Tatigue Behavior of As-built Ti-6Al-4V Alloy Produced by Laser Powder Bed Fusion Process
Elastic Residual Strain Measurements of 3D Additive Manufacturing Builds of IN718 AM-Benchmark Artifact: An Overview and Comparison Between Measurement Techniques and Submitted Simulation Results
Elimination of Solidification Cracking in AA 6061 Alloy During the Laser Powder Bed Fusion Additive Manufacturing Process
Energy Efficiency of Polymer Additive Manufacturing by Material Extrusion
Evaluation of Strains in AM–Bench Samples via Energy Dispersive Diffraction at Cornell High Energy Synchrotron Source
Experimental Data for the Asynchronous AM Bench Challenge: Coupling Laser Absorption with High-speed X-ray Imaging
Experimental Evaluation of Mechanical Properties of Additively Manufactured 17-4 PH Stainless Steel
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In-situ Characterization of Melt Pool Dynamics by High-speed Synchrotron X-ray Imaging and Diffraction
In-situ Heat Treatment of Additively Manufactured Ti-6Al-4V
In-situ Monitoring of the Laser Powder Bed Fusion Process by Thermography, Optical Tomography, Melt Pool Monitoring and Eddy Current Testing for Defect Detection
In-situ Observation of the Extrusion Processes of Acrylonitrile Butadiene Styrene and Polylactic Acid for Material Extrusion Additive Manufacturing
In-Situ Spatial Monitoring and Layer-to-Layer Control of Additive Manufacturing Processes
In Situ High-energy X-ray Diffraction during Compression of Additively Manufactured Inconel 625 at Temperature
Integrated Monte Carlo Microstructure and Analytical Temperature Simulations of Additive Manufacturing
Investigating the Strength of Individual Welds of Polycarbonate Made with Fused Filament Fabrication
Laser-Scanned Tracks and Pads and In-situ Measurements for the 2022 Additive Manufacturing Benchmark Challenges
Linkage of Microstructural Features and Mechanical Properties of BinderJet Fabricated 316 Stainless Steel Through Ultrasound Measurements
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Material Property Control in Directed Energy Deposition
Measurement and Comparison of Residual Strain and Stress within AM-Bench Components Composed of SS15-5PH and IN625
Mechanical Property Modeling of AM Alloys and its Application in Accelerated Qualification and Certification
Meshfree Models for Viscoelastic Filament Extrusion and Solidification
Metal 3D Builds and In-situ Measurements for the 2022 Additive Manufacturing Benchmark Challenges
Methods for Collecting High Resolution Large Area EBSD Maps
Micro-void Deformation Prediction: A Possible Future Asynchronous AM Benchmarking Challenge
Microstructural Engineering in Steel 3D Printing with PBF Method: High-throughput Computational Design
Microstructural, Tribological and Electrochemical Analyses of Additive Manufactured Metallic Alloys for Engineering Applications
Mixed Interface-capturing/Interface-tracking Formulation for Metal Additive Manufacturing on NIST 22 Benchmark Challenge Problems
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Modeling of Location-specific Grain Shape and Texture Development in the AMB2018-01 Bridge Specimen
Morphology Evolution of Droplets in a Polymer Based Extensional Flow
Multiphysics Modeling of Multicomponent Powder Beds for Metal Additive Manufacturing
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NAFEMS Benchmarks for Metal Additive Manufacturing Simulation: a Complementary Set of Cases
Neutron Diffraction Stress Measurements on an AM Bench 2022 Bridge Artifact
Non-destructive, Low-cost Qualification of AM Material and Processes Using RF Measurements
Numerical Investigation of L-PBF Processing of High Speed Steels to Produce Crack Free Parts
On-line Melt Pool and Microstructure Sensing of Powder Bed Fusion Grade 91 Stainless Steel
Online Prediction of Porosity in Laser Powder Bed Fusion using Physics-informed Meltpool Signatures and Machine Learning
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Optimizing Roller-based Spreading of Fine, Cohesive Metal Powders via DEM Simulations
Part Deflection of 3D Builds of IN718 from the 2022 AM Benchmark Test Series
Physics-Based Compressive Sensing and Physics-constrained Dictionary Learning to Monitor Laser Powder Bed Fusion Process
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Predicting Material Behavior with Improved Solidification Models for the AM Process Window
Predicting Mechanical Properties of Material Extrusion-fabricated Structures with Limited Information
Prediction of Large Domain Microstructure Morphology by a Novel 3-Dimensional Cellular Automata-phase Field Modeling Approach
Process-induced Crystallization in Thermoplastic Material Extrusion
Process-Structure-Properties Simulations for Predicting Fatigue Indicator Parameters of Additive Manufactured Ti-6Al-4V with Quantified Uncertainty
Pseudo-function of Laser Heat Input for Computational Metal Additive Manufacturing
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Residual Stress Measurements in the IN718 AM-Bench Component and a Novel Approach for Determining Three Orthogonal Components of Residual Stress by Coupling the Contour and Energy Dispersive Diffraction Techniques
Role of Composition in High Temperature Heat-treatment Response of Additively Manufactured 17-4 PH Stainless Steel
SciServer Analysis on AM-Bench Data
Simulating Spot Melts in 3D with Dendrite-scale Resolution
Simultaneous Computational Fluid and Particle Dynamics Simulation for Laser Powder Bed Fusion
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Suppressing Filament Defects in Embedded 3D Printing
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(On-Demand) A High Fidelity Melt Pool Dynamics Model with Experimental Validation Results Against NIST Benchmark AMB2018-2
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(On-Demand) Investigation of Particle Dynamics During Laser Powder Bed Fusion via a Novel Smooth Particle Hydrodynamics Modeling Approach
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(On-Demand) The Effect of Heat Input on Residual Stress Buildup in Selective Laser Melting of Ti6AL4V
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