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About this Symposium
Meeting 2024 TMS Annual Meeting & Exhibition
Symposium Additive Manufacturing Modeling, Simulation and Machine Learning
Sponsorship TMS Materials Processing and Manufacturing Division
TMS: Integrated Computational Materials Engineering Committee
Organizer(s) Jing Zhang, Indiana University – Purdue University Indianapolis
Li Ma, Johns Hopkins University Applied Physics Laboratory
Charles R. Fisher, Naval Surface Warfare Center - Carderock
Brandon A. McWilliams, US Army Research Laboratory
Yeon-Gil Jung, Korea Institute of Ceramic Engineering & Technology
Scope This symposium will provide an excellent platform to exchange the latest knowledge in additive manufacturing (AM) modeling, simulation, artificial intelligence and machine learning. Despite extensive progress in AM field, there are still many challenges in predictive theoretical and computational approaches that hinder the advance of AM technologies. The symposium is interested in receiving contributions in the following non-exclusive areas: In particular, the following topics, but not limited to, are of interest:

1.AM process modeling, monitoring and defect detection
2.Modeling of microstructure evolution, phase transformation, and defect formation in AM parts
3.AM materials development using the Integrated computational materials engineering (ICME) approach
4.Modeling of residual stress, distortion, plasticity/damage, creep, and fatigue in AM parts
5.Modeling behaviors of AM materials in various environments (e.g., corrosion, high temperature, etc.)
6.Computational modeling of process-structure-property-performance relationships for qualification of additive manufacturing
7.Artificial intelligence (AI), machine learning (ML) and data science applications to AM
8.Calibration and validation data sets relevant to models, uncertainty quantification
9.Efficient computational methods using reduced-order models or fast emulators for process control
10.Multiscale/multiphysics modeling strategies, including any or all of the scales associated with the spatial, temporal, and/or material domains

Abstracts Due 07/15/2023
Proceedings Plan Planned:

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 Machine Learning Based Approach for Accelerated Textured Microstructure Generation
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 multi-scale modelling approach for wire-based Laser metal deposition process
A novel surface-processing-microstructure-property framework for powder-bed fusion additive manufacturing
A robust model for estimating the metal evaporation during laser powder bed fusion with inputs from CALPHAD approach
Accelerating Prediction of Microstructure Evolution using History-Dependent Machine Learning Surrogate Models
Additive Manufacturing Process Optimization and Property Prediction with Integrated Computational Materials Design
An accurate machine learning approach for process optimization in directed energy deposition
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
Application of the laser powder bed fusion (LPBF) process diagram on parameters selection for 99%-part density: A case study on a turbine blade component
Automated Bulk Melt Pool Contour Data Acquisition from Micrographs Using Computer Vision
Compensating for Sintering Distortion in Additively Manufactured Copper using Physics-Informed Gaussian Process Regression
Computational model and experimental calibration for densification and shape distortion during sintering of metal binder jetting
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
Controlling microstructures and mechanical properties of nickel-based superalloy based on multiscale finite element thermal analysis in laser powder bed fusion
Coupling in-situ monitoring and machine learning towards faster Laser-based Powder Bed Fusion process qualification
Coupling of Microscopy and Thermomechanical Models to Explain the Extent and Location of TRIP Product in Simulated PBF-LB of Ti-1023
Crystal Plasticity Modeling for Prediction of Fatigue Crack Initiation in Defect-Containing Additively Manufactured Al-10Si-0.4Mg Alloys
Crystal Plasticity Modeling for the Prediction of Mechanical Properties of Laser Powder Bed Fusion AlSi10Mg Parts
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
Defect detection in laser powder bed fusion using in-situ layer-wise optical imaging
Determining the critical velocity for mismatched metals in cold spray: FEM simulation and experimental validation
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
Diffusion-based generative modeling for multimodal microstructure synthesis and its application in process-structure-property linkage of metal additive manufacturing
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
Efficient process parameter optimization for titanium alloys in additive manufacturing
Efficient simulation-based creation of a metamodel for conduction mode melting in laser powder bed fusion processing
Exascale simulation for additive manufacturing
Exploiting Hatching Geometry in Laser Powder Bed Fusion Components for Increased Vibration Fatigue Strength
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
High-strain rate and high-temperature properties of additively manufactured Alloy 718
Hybrid model guided additively manufactured aerospace heat exchanger development
ICME-based integrated modelling framework for additively manufactured Ni-based superalloys
Improving Predictive Accuracy of Density in the Laser Powder Bed Fusion Process: A Bayesian Approach
In-situ monitoring and numerical simulation of shrinkage during sintering in metal binder jetted parts
In-situ monitoring of laser powder bed fusion for production environments
Influence of point defects on the mechanical response of 3D periodic nanolattices
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
Microstructure Control via Coordinated Dual-Beam Laser Scanning
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.
Modelling the effects of laser-powder bed fusion manufacturing parameters on surface roughness and density of Alloys 625 and 718
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
Multi-scale modelling and experimental validation of DS/SX Ni-based superalloy components produced by laser-based directed energy deposition (L-DED)
Multiscale and Machine Learning Modeling for Texture Prediction during Additive Manufacturing
Novel Hot Work Tool Steel Powder with enhanced Processability by Laser Powder Bed Fusion
Numerical analysis of heat accumulation during wire arc 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-PBD IN718 using machine learning informed by μXCT and EBSD
On the applicability of CALPHAD and process models to predict solidification cracking
Orthogonal Cutting of Wire Arc Additively Manufactured Steel and the Role of Microstructure
Particle Tracking in a Simulated Melt Pool of Laser Powder Bed Fusion
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
Predicting Microstructure of High Strength Aluminum Alloys Repaired via Additive Friction Stir Deposition Through Smooth Particle Hydrodynamic Simulation
Predicting the Printable Parameter Space for Laser Directed Energy Deposition Using a Calibrated Model
Prediction of laser absorptivity and molten pool geometry during powderbed fusion processes of Ti64Al4V with the stationary and moving laser beam sources.
Prediction of Process Maps and location specific properties for Additive Manufacturing through CALPHAD.
Process-Parameter Optimization for High Relative Density in Powder Bed Fusion Products: A Material-Agnostic Machine-Learning Approach
Reducing validation to days, enabling rapidly deployable Additive Manufacturing at the front line
Residual stresses and plastic deformation due to post-process lasering of a 3D printed stainless steel
Revealing the role of volumetric defect’s geometry on fatigue crack initiation in additively manufactured materials
RLTube: Optimizing Path Planning in Wire Arc Additive Manufacturing for Customized Bent Tubes
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
Solidification microstructure modelling in Ni based alloys during AM: A 3D phase field study
Some Guidelines for the Use of Machine Learning in Metal AM Process Parameter Development
The collaborative roles of Machine Learning and ICME in Material Science
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
Understanding the stochastic nature of hot cracking in columnar-dendritic solidification of aluminium alloys 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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