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Meeting Materials Science & Technology 2020
Symposium Additive Manufacturing Modeling and Simulation: AM Materials, Processes, and Mechanics
Presentation Title Phase Field Simulations of Solid-state Precipitation in AM-processed 625 and 718 Alloys during Post-process Annealing
Author(s) Bala Radhakrishnan, Younggil Song, Sarma Gorti, Steve DeWitt, John Turner, Lyle Levine, Ranadip Acharya, William Tredway, Amrita Basak, Tanjheel Mahdi
On-Site Speaker (Planned) Bala Radhakrishnan
Abstract Scope We present large scale, phase field simulations of microstructure evolution during post-processing of 718 and 625 alloys produced by laser powder bed fusion additive manufacturing. The simulations capture the effect of micro segregation of alloying elements on the growth kinetics and morphology of co-precipitating phases - gamma', gamma" and delta as a function of annealing schedule. The simulations will also capture the effect of partial dissolution of the Laves phase in the as-solidified microstructure on the precipitation structure during subsequent aging. The objective of the simulations is to optimize the post-process heat treatment in these alloys to meet target properties. The simulation results are validated using results of advanced characterization performed on the AM-processed materials. Research supported by the Department of Energy's HPC4EI program and the Exascale Computing project at the Oak Ridge National Laboratory. The simulations were performed using the Oak Ridge Leadership Class computing facilities.

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

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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