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Meeting Materials Science & Technology 2020
Symposium Additive Manufacturing Modeling and Simulation: AM Materials, Processes, and Mechanics
Presentation Title Multi-Fidelity Surrogate Assisted Prediction of Melt Pool Geometry in Additive Manufacturing
Author(s) Nandana Menon, Sudeepta Mondal, Daniel Gwynn, Amrita Basak
On-Site Speaker (Planned) Nandana Menon
Abstract Scope Melt pool geometry plays a critical role in controlling the microstructure and therefore the properties of additively manufactured components. There is a plethora of models available for predicting the steady state melt pool geometry in metal additive manufacturing. There models are either fast but inaccurate (e.g., analytical models) or slow and accurate (e.g., finite element-based models). The objective of this paper is to take advantage of the hierarchy of multi-scale multi-physics models to construct a multi-fidelity (MF) surrogate assisted framework that encapsulates the statistical information in the varied fidelity levels via MF Gaussian Processes with computational budget constraint so that the computationally inexpensive models are exploited more and the usage of expensive models are restricted. We demonstrate this framework for a nickel-base superalloy, CMSX-4 using three different fidelity models such as Eagar-Tsai, analytical directed energy deposition (DED) model, and Autodesk NetFabb DED model.

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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