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Meeting Materials Science & Technology 2020
Symposium Additive Manufacturing Modeling and Simulation: AM Materials, Processes, and Mechanics
Presentation Title Cellular Automata Modeling of Microstructure Resulting from Novel Scan Patterns in Selective Laser Melting
Author(s) Matthew Rolchigo, Benjamin Stump, Alex Plotkowski, James Belak
On-Site Speaker (Planned) Matthew Rolchigo
Abstract Scope Cellular automata (CA) methods have successfully modeled grain characteristics and texture development during traditional linear scan patterns during Additive processing. This work focuses on solidification resulting from both linear and more complex scan patterns, such as multi-spot scans, often used in attempts to control columnar grain growth. Using temperature data calculated using the CFD software OpenFOAM, along with the GPU-accelerated ExaCA code for solidification modeling, we examine texture development and competitive nucleation and growth using a variety of novel scan patterns. The CA model ability to predict experimental microstructural trends, and its potential future use in conjunction with melt pool modeling for engineering scan patterns for desired grain structures will also be discussed. *Work performed under auspices of the U.S. DOE by LLNL under contract DE-AC52-07NA27344, and supported by ECP (17-SC-20-SC), a collaborative effort of U.S. DOE Office of Science and NNSA.


A Discrete Dendrite Dynamics Model for Fast Epitaxial Columnar Grain Growth in Metal Additive Manufacturing
A Process Parameter Prediction Framework for Metal Additive Manufacturing
A System Dynamics approach to submodels for Residual Stress Predictions of SLM Parts
Cellular Automata Modeling of Microstructure Resulting from Novel Scan Patterns in Selective Laser Melting
Control of High-temperature Drop-on-demand Metal Jetting through Numerical Modelling and Experimentation
Creep Modeling of 3D Printed 718 Nickel Alloys
Defect-based Fatigue Model for AlSi10Mg Produced by Laser Powder Bed Fusion Process
Design Optimization for Residual Stress in Complex Low-density Support Regions
Development of Temperature History Profiles for Production of Ti-6Al-4V Using a Semi-Analytical Model
Expanding Process Space of Laser Powder Bed Additive Manufacturing Using Alternative Scan Strategies
Experimental and Modeling Study of Gas Adsorption in Metal-organic Framework Coated on 3D Printed Plastics
Fabrication of Ceramic Core for Single Crystal Casting of Gas Turbine Blade
Feature Engineering for Surrogate Models of Consolidation Degree in Additive Manufacturing
In-situ Monitoring of Powder Flow in Direct Energy Deposition Additive Manufacturing
Mechanical and Surface Properties of Inconel 718 Alloy Fabricated by Additive Manufacturing
Modeling Hot Cracking in Metal Additive Manufacturing
Modeling of Electron Beam Physical Vapor Deposition Process for Fabricating Thermal Barrier Coatings
Modeling of Impact Property of 3D Printed 718 Nickel Alloys
Multi-Fidelity Surrogate Assisted Prediction of Melt Pool Geometry in Additive Manufacturing
Phase Field Modeling of AM Solidification Microstructure with Algorithmic Feature Extraction to Facilitate Reduced Order Model Development
Phase Field Simulations of Solid-state Precipitation in AM-processed 625 and 718 Alloys during Post-process Annealing
Probabilistic Process Design of Laser Powder Bed Fusion Using Coupled Monte Carlo and Inverse First Order Reliability Method
Property Measurements for Modeling the Process-structure-property Relationships in Additive Manufacturing
Reduced-order Process-structure Linkages during Post-Process Annealing of an Additively Manufactured Ni-base Alloy
Strength Improvement of The Ceramic Core by Applying Dual Polymers In 3D Printing Process
Stress State Dependent Plasticity and Fracture Properties of Additively Manufactured Stainless Steel 316L
Transient Evolution of Columnar Dendrites during Additive Manufacturing – Implications for Process Simulations
Virtual Reality Module for Additive Manufacturing Education

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