3D Deep Learning for Pore Stress Concentration Analysis in Additive Manufacturing

A CALPHAD Model of Dendritic Growth for the Design of Printable Industrial Alloys

A Mixed Sharp and Diffusive Interface Approach for Multi-physics Modeling of Metal Additive Manufacturing

A Model Experiment of Meltpool Dynamics in Additive Manufacturing with Magnetic Fields

A Multi-physics Model for Melt Pool and Keyhole Dynamics in Laser Powder Bed Fusion Process

A Robust Model for Estimating the Metal Evaporation during Laser Powder Bed Fusion with Inputs from CALPHAD Approach

Additive Manufacturing Process Optimization and Property Prediction with Integrated Computational Materials Design

An ICME Workflow to Identify the Root Cause of Properties Variations of AM Parts

Analyzing Debinding and Carbide Pickup for Quality Control of Binder Jet Printed SS 316L Using Computer Vision

Analyzing Micro-macro Transitional Length Scale in 3D Printed Chopped Fiber Reinforced Polymers

Application of Computer Vision to Mapping of Process Parameters to Material Structure of AM Carbon Fiber Composites

Compensating for Sintering Distortion in Additively Manufactured Copper using Physics-Informed Gaussian Process Regression

Computational Modeling and Experimental Investigation of Additively Manufactured Fused Deposition Modeling Samples with In-Built Porosity

Computationally Derived Additively Manufactured Microstructure-property Correlations for Nickel-based Superalloys

Coupling of Microscopy and Thermomechanical Models to Explain the Extent and Location of TRIP Product in Simulated PBF-LB of Ti-1023

Critical Velocity and Deposition Efficiency in Cold Spray: A Reduced-order Model and Experimental Validation

Crystal Plasticity Modeling for Prediction of Fatigue Crack Initiation in Defect-containing Additively Manufactured Al-10Si-0.4Mg Alloys

Crystal Plasticity Modeling of Thermo-elastic-plastic Deformation during Laser-based Additive Manufacturing

Data Bridging: A Novel Pipeline for Efficient Statistical Exploitation Across Multiple Data Populations

Deep Neural Network for Image Segmentation and Feature Quantification during Laser Powder Bed Fusion Additive Manufacturing

Development of a Multi Scale and Multi Physics Modeling Framework to Study the Defect Evolution in The Laser-based Powder Bed Fusion Process

Development of Process-Microstructure Relationships in Laser Powder Bed Fusion of IN718

Development of Simulation-based Qualification Data for Laser Powder Bed Fusion Using Modeling and Uncertainty Quantification

Digital Twin Framework for Identifying Microstructure Heterogeneity in an As-built Powder Bed Fusion Part

Domain Stitching: A Technique for Large-scale Microstructural Studies in Laser Powder Bed Fusion

Effect of Nonuniform Void Distributions on the Yield Strength of Metals

Efficient Computational Framework for Image-based Micromechanical Analysis of Additively Manufactured Ti-6Al-4V Alloys

Efficient Process Control Model for Laser Powder Bed Fusion Using an Experimentally Validated Heat Source

Exascale Simulation for Additive Manufacturing

F-13: A Machine Learning Based Approach for Accelerated Textured Microstructure Generation

F-14: A Multi-scale Modelling Approach for Wire-based Laser Metal Deposition Process

F-15: An Accurate Machine Learning Approach for Process Optimization in Directed Energy Deposition

F-16: Controlling Microstructures and Mechanical Properties of Nickel-based Superalloy Based on Multiscale Finite Element Thermal Analysis in Laser Powder Bed Fusion

F-17: Coupling In-situ Monitoring and Machine Learning Towards Faster Laser-based Powder Bed Fusion Process Qualification

F-18: Efficient Process Parameter Optimization for Titanium Alloys in Additive Manufacturing

F-19: High-strain Rate and High-temperature Properties of Additively Manufactured Alloy 718

F-65: Microstructure Control via Coordinated Dual-beam Laser Scanning

F-66: Numerical Analysis of Heat Accumulation during Wire Arc Additive Manufacturing

F-67: Particle Tracking in a Simulated Melt Pool of Laser Powder Bed Fusion

F-68: Reducing Validation to Days, Enabling Rapidly Deployable Additive Manufacturing at the Front Line

F-70: RLTube: Optimizing Path Planning in Wire Arc Additive Manufacturing for Customized Bent Tubes

F-74: Crystal Plasticity Modeling for the Prediction of Mechanical Properties of Laser Powder Bed Fusion AlSi10Mg Parts

F-75: Some Guidelines for the Use of Machine Learning in Metal AM Process Parameter Development

Fast and Scalable Method to Generate Reduced Order Models of Metal-based Additive Manufacturing Simulations Using a Hypercomplex-based Automatic Differentiation Finite Element Method

Grain Structure Control Through Modeling of Laser Beam Shaping and Multibeam Solidification

Hardness Predictions of Additively Manufactured Components Using Convolutional Neural Networks on Backscattered Electron Images

Hybrid Model Guided Additively Manufactured Aerospace Heat Exchanger Development

ICME-based Integrated Modelling Framework for Additively Manufactured Ni-based Superalloys

In-situ Monitoring and Numerical Simulation of Shrinkage during Sintering in Metal Binder Jetted Parts

JIMM Young Leader International Scholar Award Lecture: Machine-learning Approaches to Control the Microstructure and Properties of Laser Powder Bed Fused Metallic Components

Leveraging Convolutional Neural Networks for the Prediction of Enhanced Plume and Coating Quality in Atmospheric Plasma Spraying

Machine Learning-based Prediction of Evolution of Thermal Profiles During Additive Manufacturing

Machine Learning Guided Prediction of Jetting Behavior during Electrohydrodynamic (EHD) Printing

Micro-mechanical Computational Modeling of Dislocation Cell Structures

Modeling Inherent Anisotropic Deformation Behavior of Laser Powder Bed Fusion (LPBF) Manufactured Metals for Different Laser Beam Shapes

Modeling the Hardening and Damage Evolution of Additively Manufactured Metal Matrix Composites Using a Large-strain Elasto-viscoplastic FFT-based Framework

Multi-beam Process Modeling for Optimization of Melt Pool Shape and Build Rate for Laser Powder Bed Fusion

Multi-Information Source Thermal Modeling for Design of Printable Refractory Alloys

Multi-physics Modeling of Melt Pool with Ray-tracing in the Open-source MALAMUTE Software

Multiscale and Machine Learning Modeling for Texture Prediction during Additive Manufacturing

Numerical Model to Unravel Thermal Evolution and Material Flow Behavior in Additive Friction Stir Deposition of Mg-alloy

On Predicting the Fatigue Behavior of Direct Aged L-PBF IN718 Using Machine Learning Informed by μXCT and EBSD

On the Applicability of CALPHAD and Process Models to Predict Solidification Cracking

Physics-constrained, Inverse Design of High-temperature Strength Printable Aluminum Alloys with Low Cost and CO2 Emissions for High Demand Industries

Planning and Adaptive Control of AM Processes via In Situ Characterization, Faster-than-real-time Simulations, and AI/ML Methods

Prediction of Process Maps and Location Specific Properties for Additive Manufacturing through CALPHAD.

Revealing the Role of Volumetric Defect’s Geometry on Fatigue Crack Initiation in Additively Manufactured Materials

Scanning Strategies Optimization for Gluing of Kraft Paper Using Laser in Laminated Additive Manufacturing

Shape Distortion in Sintering-based Additive Manufacturing Results from Nonhomogeneous Temperature Activating a Long-range Mass Transport

Simulation of Residual Stresses, Deformations, and the Effect of Support Removal in Additively Manufactured Thin Plates

Softening Mechanisms in Additively Manufactured 420 Stainless Steel at Elevated Temperatures

Solidification Kinetics in Ternary Alloys: Insights from Phase Field Modeling

The Development of Grain Structure During Additive Manufacturing: A Comparison Between Experiment and Simulation

The Impact of Beam Shaping on Grain Morphology and Mechanical Response of Additively Manufactured Microstructures

Towards Adaptive Metal Additive Manufacturing: The Role of Modeling in Real-time Process Control

Towards Large-scale Grain Growth Modeling in Powder Bed Fusion

Transfer Learning Based Prediction of Part Quality in Additive Manufacturing

Utilizing Additive Manufacturing and CFD Simulation to Enhance Investment Casting of Aluminum Alloys

Validation of a Transient Heat Source Model for Laser Powder Bed Fusion

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