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Conference Tools for Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
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Meeting Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
Symposium Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
Organizer(s) Brandon Lane, National Institute of Standards and Technology
Lyle E. Levine, National Institute of Standards and Technology
Scope Building on the successful model of the AM-Bench 2018 conference, the AM-Bench 2022 conference is intended to be the home for presenting the findings and results associated with a continuing series of controlled benchmark tests from the AM-Bench committee. Separate from the benchmark tests, the conference will also include technical sessions with a focus on additive manufacturing modeling, measurement, and characterization.

Overall, the event aims to accomplish two goals:
1. Allow modelers to test their simulations against rigorous, highly controlled additive manufacturing benchmark test data, and
2. Encourage additive manufacturing practitioners to develop novel mitigation strategies for challenging build scenarios.

The conference attendees will present detailed benchmark test measurement results, simulation results with comparison to the corresponding benchmark test measurements, and general-purpose talks relating to the benchmark tests and corresponding simulations. There will also be panel discussions about all of the above.

Abstracts Due 01/24/2022
Proceedings Plan Undecided

3-Dimensional Microstructure Characterization of Laser Powder Bed Fusion IN625 and IN718
A combined experimental and simulation campaign of as-built AM IN625 connecting microstructure to part scale response
A high fidelity melt pool dynamics model with experimental validation results against NIST benchmark AMB2018-2
A rheological approach for measuring cure depth of filled and unfilled photopolymers at additive manufacturing relevant length scales
A study on Tensile and Fracture behaviour of Al 2024 – Ram 2 alloy fabricated through Laser Powder Bed fusion.
Advanced computational module for microstructural prediction in Metal additive manufacturing
AM-CFD: a well-validated thermal-fluid simulator for additive manufacturing part qualification
AM Bench 2022 -04 Overview of Mechanical Measurements on PBF-L Inconel 625
AM Bench 2022 Macroscale Tensile Challenge at Different Orientations , Part 1: Measurement Description
AM Bench 2022 Macroscale Tensile Challenge at Different Orientations, Part 2: Predictions and Trends
AM Bench 2022 Subcontinuum Mesoscale Tensile Challenge , Part 1: Measurement Description
AM Bench 2022 Subcontinuum Mesoscale Tensile Challenge, Part 2: Predictions and Trends
AM Bench data on SciServer
Analysis of Existing Hot Tearing Tests and Their Transferability to Additive Manufacturing
Benchmarking Machine Learning Modeling Approaches to Additive Manufacturing Research, Development, and Qualification
Characterization of Laser Powder Bed Fusion Surfaces
Characterizing the Post-Build Microstructures of the AM Benchmark Artifacts
Combining Fractal and Topological Analyses to Quantify Fracture Surfaces in Additively Manufactured Ti-6Al-4V
Cross-sectional Melt Pool Geometry of Laser-Scanned Tracks and Pads for the 2022 Additive Manufacturing Benchmark Challenges
Decoupling the effect of geometry and texture on the mechanical response of additively manufactured IN625 thin-walled elements
Defect prediction on the base of thermographic features in Laser Powder Bed Fusion utilizing Machine Learning algorithms
Design for Printing Success Using Additive Manufacturing Process Simulation
DigitalClone for Additive Manufacturing (DC-AM): an integrated computational materials engineering platform to model metal AM process and performance
Digitally Twinned Additive Manufacturing: Real-time Detection of Flaws in Laser Powder Bed Fusion by Combining Thermal Simulations with In-Situ Meltpool Sensor Data.
Effect of process-specific defects on the tensile and constant-amplitude fatigue behavior of as-built Ti-6Al-4V alloy produced by laser powder bed fusion process
Elimination of solidification cracking in AA 6061 alloy during the Laser Powder Bed Fusion Additive Manufacturing process
Energy Efficiency of Polymer Additive Manufacturing by Material Extrusion
Experimental Evaluation of Mechanical Properties of Additively Manufactured 17-4 PH Stainless Steel
Fast and Effective Sensitivity and Uncertainty Quantification for Metal-Based Additive Manufacturing
Finite Element Simulation of AM-Bench 2022 Problems Involved with Distortions and Residual Strains
Formation of crystal defects in rapid solidification
Improving Part Quality in Laser Powder Bed Fusion using Model-based Feedforward Control of Thermal History.
In-Situ Heat Treatment of Additively Manufactured Ti-6Al-4V
In-situ monitoring of the laser powder bed fusion process by thermography, optical tomography, melt pool monitoring and eddy current testing for defect detection
In-situ observation of the extrusion processes of Acrylonitrile Butadiene Styrene and Polylactic Acid for material extrusion additive manufacturing
In situ High-energy X-ray Diffraction during Compression of Additively Manufactured Inconel 625 at Temperature
Integrated Monte Carlo Microstructure and Analytical Temperature Simulations of Additive Manufacturing
Investigating the Strength of Individual Welds of Polycarbonate Made with Fused Filament Fabrication
Investigation of particle dynamics during laser powder bed fusion via a novel smooth particle hydrodynamics modeling approach
Laser-Scanned Tracks and Pads and In-situ Measurements for the 2022 Additive Manufacturing Benchmark Challenges
Linkage of microstructural features and mechanical properties of binder jet fabricated 316 stainless steel through ultrasound measurements
Measurement and comparison of residual strain and stress within AM-Bench components composed of SS15-5PH and IN625
Mechanical property modeling of AM alloys and its application in accelerated qualification and certification
Meshfree Models for Viscoelastic Filament Extrusion and Solidification
Metal 3D Builds and In-situ Measurements for the 2022 Additive Manufacturing Benchmark Challenges
Methods for collecting high resolution large area EBSD maps
Micro-void Deformation Prediction: A Possible Future Asynchronous AM Benchmarking Challenge
Microstructural engineering in steel 3D printing with PBF method: high-throughput computational design
Microstructural, tribological and electrochemical analyses of additive manufactured metallic alloys for engineering applications
Microstructure Evaluation of Copper Prepared through Fused Deposition Modelling of Metal
mixed interface-capturing/interface-tracking formulation for metal additive manufacturing on NIST 22 benchmark challenge problems
Modeling of location-specific grain shape and texture development in the AMB2018-01 bridge specimen
Modeling Strengthening and Elevated Temperature Properties of Single and Polycrystalline Additively Manufactured Refractory High Entropy Alloy Microstructures
Modelling of chemical species mixing during in-situ alloying of ternary alloys and effect on rapid grain growth
Multiphysics Modeling of Multicomponent Powder Beds for Metal Additive Manufacturing
Multiscale Material Modeling of Laser Powder Bed Fusion Additive Manufacturing Soft Magnetic Composites
NAFEMS benchmarks for metal additive manufacturing simulation: a complementary set of cases
Neutron Diffraction Stress Measurements on an AM Bench 2022 Bridge Artifact
Non-destructive, low-cost qualification of AM material and processes using RF measurements
Numerical investigation of L-PBF processing of high speed steels to produce crack free parts
On-line melt pool and microstructure sensing of powder bed fusion Grade 91 stainless steel
Online Prediction of Porosity in Laser Powder Bed Fusion using Physics-informed Meltpool Signatures and Machine Learning
Optical Metrology of Laser-Matter Interactions in LPBF: Challenges and Opportunities
Optimizing roller-based spreading of fine, cohesive metal powders via DEM simulations
Physics-Based Compressive Sensing and Physics-Constrained Dictionary Learning to Monitor Laser Powder Bed Fusion Process
Porosity characterization of binder jet additive manufacturing parts via ultrasonic methods
Powder Blown Laser DED Sensor Development for Mass Flow Monitoring and Defect Detection
Powder Oxygen Heterogeneities and Significant Intra-build Tensile Strength Variation from Common EB-PBF Ti-6Al-4V Powder Reuse Methods
Predicting Material Behavior with Improved Solidification Models for the AM Process Window
Predicting Mechanical Properties of Material Extrusion-Fabricated Structures with Limited Information
Predicting printing parameters in semi-crystalline polymeric materials selective laser sintering
Prediction of large domain microstructure morphology by a novel 3-dimensional Cellular Automata-Phase Field modeling approach.
Process-Structure-Properties Simulations for Predicting Fatigue Indicator Parameters of Additive Manufactured Ti-6Al-4V with Quantified Uncertainty
Pseudo-function of laser heat input for computational metal additive manufacturing
Quantifying the Size, Shape, and Porosity of Metal Powder Particles using X-ray Computed Tomography
Simulating spot melts in 3D with dendrite-scale resolution
simulation of powder particle interaction with the laser heat source
Simultaneous Computational Fluid and Particle Dynamics Simulation for Laser Powder Bed Fusion
Spatially-resolved mapping and statistically-based analysis of powder layer density by transmission X-ray imaging
Stable Nitride Precipitation in Additively Manufactured Nickel Superalloys
Supporting the Simulation Community with Benchmark Measurements for Additive Manufacturing
The Additive Manufacturing Moment Measure Approach to Laser Powder Bed Fusion Process Qualification
The Effect of Energy Input and Elemental Mo Content on Microstructure During In-Situ Alloying with Ti6Al4V ELI by DED Processing
The effect of heat input on residual stress buildup in Selective Laser Melting of Ti6AL4V
The effect of nozzle size and print speed on the fiber orientation and porosity during large-scale additive-compression manufacturing
The ExaAM Challenge Problem: AM Process Modeling at the Fidelity of the Microstructure
Tunable PBF-EB Ti-6Al-4V Fatigue Performance via Controlled Powder Recovery
Use of extreme value analysis to determine data requirements for defect characterization and predict variation in fatigue performance
Voxel-scale Precision in Vat Photopolymerization Additive Manufacturing
X-ray image based ray-tracing model for absorption prediction in laser melting
(On Demand) Computationally derived correlations between segregation, microstructure variations and process-induced cracks in AM
(On Demand) Investigation of Co-free high entropy alloys produced by Selective Laser Melting for nuclear applications
(On Demand) Role of Composition in High Temperature Heat-Treatment Response of Additively Manufactured 17-4 PH Stainless Steel

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