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Meeting 7th World Congress on Integrated Computational Materials Engineering (ICME 2023)
Symposium ICME 2023
Presentation Title Computationally Derived Correlations for Process-induced Cracking during AM of Nickel-based Superalloys
Author(s) Hector Basoalto, Chizhou Fang, Prashant Shriram Jadhav, Magnus J Anderson, Yu Lu, Lucia Scotti
On-Site Speaker (Planned) Hector Basoalto
Abstract Scope A multiscale materials modelling framework is presented for simulating the microstructure and mechanical fields during selective laser melting (SLM) of a precipitate strengthened nickel-based superalloy. The approach accounts for physical phenomena associated with the additive process over a number of spatial and temporal scales including solid-liquid-vapour transitions, solidification microstructures (grains and precipitation of ) and defects. A crystal plasticity model is developed for simulation of the mechanical fields and accounts for dissolution and precipitation of  particles for the alloy CM247. Stress jumps acting on grain boundaries are extracted, showing the cyclic thermal loading of these boundaries to be sensitive to local texture as well as spatial gradients of the thermal fields generated by the moving heat source. Location of boundaries (relative to the passing melt pool) with high risk of resulting in cracking of a build are identified and discussed in relation to process parameters.
Proceedings Inclusion? Planned: Other (describe below)

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

3D full-field crystal plasticity simulations on an explicit microstructure: How accurate are we?
3D phase-field modelling of microstructure evolution during additive manufacturing of multi-component single crystal Ni-based super alloys
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A data-driven approach for estimating three-dimensional microstructural features of bainitic steels using phase-field simulation results
A Deep Learning Approach for Phase Detection in 2D-XRD Patterns of Ti-6Al-4V
A feasibility study of machine learning-assisted alloy design
A FRAMEWORK FOR MULTILEVEL ROBUST CO-DESIGN OF MATERIAL AND PRODUCT SYSTEMS
A generative adversarial network for the creation of complex 3D bimodal polycrystalline microstructures: Application to Cold-Spray Al7050 Alloy
A Machine Learning-based Virtual Lab to predict yield surfaces from crystal plasticity simulation
A new AI/ML framework for materials innovation
A phenomenological model for the relationship between fatigue life and mechanical properties
A physics-based correlation study of hot cracking phenomenon in the processes of Additive Manufacturing
A physics-informed multimodal conditional generative model for linking process and microstructure in metal additive manufacturing
A Quantitative Phase Field Tool for Lithium-Metal Battery Design
A Software Approach to Predict Creep Behavior in Time and Temperature Dependent Materials
Ab-initio Modelling of Phonon Transport in 2D High Entropy MXene layers
Accelerating Development and Characterization of Nuclear Materials Processing: An Integrated Methodology
Accelerating Development of Materials with Artificial Intelligence
Advancing ICME technologies via strategic collaboration while bridging the gap between academia and industry
Alloy Evaluation and Flow Forming Process Modeling for Net Shape Aerospace Structures
An ICME based approach for improving high-strength Ni alloy process yield
An ICME Framework for Design of Hot-rolled Nb,Ti Microalloyed Steels
An ICME workflow to assess the process sensitivity of the heat treatment of IN718
An integrated process-structure-property framework for in-silico design of additively manufactured 18Ni-300 maraging steels
An Interpretable Machine Learning Model to Predict Molten Salt Corrosion of Compositionally Complex Alloys and Facilitate Understanding of Novel Corrosion Mechanisms
Analysis of AA6061 Cladding Diffusion Bonding Quality for the U-10Mo Monolithic Fuel using Multi-fidelity Machine Learning Surrogate
Application of deeplearning object detection and image segmentation code such as YOLO and U-Net for detection of helium bubbles and voids in nuclear reactor materials.
Applications of CALPHAD Based Tools to Additive Manufacturing
Artificial Intelligence and High-Performance Data Mining for Accelerating Materials Discovery and Design
Automated Analysis Pipeline to Investigate Bond-Wire Corrosion under Salt-water Exposure
Automated Characterization of Generated Meltpool from High Speed Camera
Automated hierarchical screening of refractory multicomponent alloys with high intrinsic ductility and surface passivation potency
Automatic deducing the new materials knowledge within the OWL framework
Automation of the ICME Workflow Incorporating Material Digital Twins at Different Length Scales Within a Robust Information Management System
Batch-wise Improvement in Reduced Design Space using a Holistic Optimization Technique (BIRDSHOT)
Building explainable models-Determining Process-Structure-Property Relationships for Friction Stir Processed Metals
Cellular automaton simulation of microstructure and porosity formation during solidification processing of aluminum alloys
Charge-Density based Convolutional Neural Networks for Stacking Fault Energy Prediction in Concentrated Alloys
Chemistry and Processing Prediction for Targeted Microstructure Morphology
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Composition-microstructure control of in-situ alloying using laser powder-bed fusion additive manufacturing: High-fidelity thermal-chemical-fluid-microstructure modelling
COMPUTATIONAL DESIGN AND MODELLING OF NICKEL-BASED ALUMINDES HIGH ENTROPY ALLOYS
Computational Modeling of the Microstructure Evolution in the Mo-V Binary Alloy System
Computational Simulations on Behavior of UHPC Subjected to Chloride Ingress
Computationally Derived Correlations for Process-induced Cracking during AM of Nickel-based Superalloys
Coupled thermal-solidification process simulation of sapphire growth
CRADLE a Data Infrastructure for Printable Corrosion-Resistant Alloys
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Data-Driven Modeling for Service Lifetime Prediction of Acrylic Polymers
Database Design Strategies for Coordinated Simulation and Testing in Additive Manufacturing
Databasing through the AM Pipeline: From Powder to Part
Decision Support System for Device Fabrication
Deep Learning enabled Additive Manufacturing (AM) lattice segmentation
Deformation behavior in core-shell heterostructured materials
Design of 3D-printed nanocomposite shields for efficient EMI shielding via finite element modelling
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Design of Titanium Aluminum Reinforced with TiB2 Composite for Powder Manufacturing Using Integrated Computational Materials Engineering
Designing Aerospace Components with Model-based Definitions to Enable Location-specific Tailoring of Properties
Designing fatigue resistance of metallic alloys with a hybrid of deep learning and micromechanics
Development of a Computational Framework to Predict Resin Additive Manufacturing for Experimental Design
Development of a fully anisotropic Monte Carlo Potts model to study grain growth
Development of a Roadmap for Computational Materials-Informed Qualification and Certification of Process Intensive Metallic Materials
Development of Digital Model Predicting Mechanical Properties of Inconel 718 for Powder Based Additive Manufacturing
Digital Threads for FAST Processing
Digital Transformation of Materials Enabled and Accelerated by ICME
Directed energy deposition of Al-0.5Sc-0.5Si alloy: Effect of thermal cycles in microstructure and mechanical properties
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Discrete dislocation dynamics simulation analysis of plasticity and size effect in additive manufactured metals
Discriminative Object Tracking by Domain Contrast
Effect of Cooling Rates on the Evolution of Microstructure, Phase Transformation, and Strain in Ti-6Al-4V Studied by High Speed Synchrotron X-ray Diffraction
Effects of surface segregations in catalytic AgAuCuPdPt high entropy alloy
Elastic Constants Predictions in Multi-Principal Element Alloys from DFT and Machine Learning
Enabling molecular dynamics simulations of helium bubble formation in tritium-containing austenitic stainless steels: An Fe-Ni-Cr-H-He potential
Enhancement of grain refinement and heat resistance in TiB2-reinforced TiAl matrix composite powder manufactured by spark plasma sintering
Evaluation of stochastic safe life of a DP steel component subjected to fatigue using a micromechanics based approach
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First-principles and Data-driven Discovery of High-Entropy Alloys for Corrosion Protection
Fluoroelastomer Crystallization Kinetics Studied by Deep Learning Segmentation of Atomic Force Microscopy Images
From Li atom to battery pack: integrated multiscale simulation
Generative alloy design based framework for in-silico design of HSLA steels
Geospatiotemporal Modeling of Near Subsurface Temperatures of the Continental United States for Assessment of Materials Degradation
High-Throughput Computation and Process Design for Metal Additive Manufacturing
HIP Diffusion Bonding Process Modeling for Fabrication of U-10Mo LEU Fuel
HPC+AI@Edge Enabled Real-time Materials Characterization
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Identifying scaling laws for discretization error in process-structure simulations of laser powder bed fusion
Image Processing Pipeline for Fluoroelastomer Crystallite Detection in Atomic Force Microscopy Images
Impact of dendrite tip velocity formulation on simulated microstructures of powder bed fusion Ti-6Al-4V
Influence Of Interfacial Voids And Grain Boundary Conductivity On Depletion Kinetics Of Sodium Metal Anodes In All-Solid-State Batteries
Integrated computational materials engineering toolkit to understand process-structure-property relationships of additively manufactured metals
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Integrating crystal plasticity and thermo-mechanical constitutive modeling
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Machine-Learned Structural Descriptors for Metallic and Covalent Glassy Materials
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Materials Commons and FAIR Data
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Micromechanical modeling of cyclic damage in metallic materials
Microscopy Data Acquisition and Analysis Workflows for Microstructure Quantification
Microstructural Analysis of Stainless Steel SEM Images by Combining EBSD Data and Deep Learning
Microstructural Engineering towards alloy design
Microstructural evolution during closed die forging of UDIMET720 and prediction of mechanical properties
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Modeling the effects of short range order on initial passivation in binary alloys
Modelling of carbides in irradiated steel microstructure
Molecular Modelling of Locally Concentrated Electrolytes for Lithium-ion Batteries
MPMD ICME Industry Implementation Award: Multi-scale Approach for Developing a High Silicon Al-Si-Cu Alloy for Additive Manufacturing Supercharger Rotors
Multi-phase-field simulation of rapid solidification in SUS316L stainless steel using aritificial neural network-based thermodynamic calculation
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Multi-Scale Microstructure Predictions and Phase Transformations in Additively Manufactured Ti-6Al-4V Using a Hybrid Kinetic Monte Carlo – Phase Field Method
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Multilevel Modelling and Optimization for Large Scale Additive Manufacturing
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Parametrically-Upscaled Crack Nucleation Model(PUCNM) for Fatigue Nucleation in Ti Alloys Containing Micro-Texture Regions
Phase Field Modeling Investigation of Polycrystalline Grain Growth Using a Spherical-Gaussian-Based 5-D Computational Approach
Phase field simulation of heat treatment process for single crystal Ni-based superalloy
Plastic deformation and failure predictions of Al-6061 with inhomogeneities using finite element modeling techniques across different length scales
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Spatiotemporal Feature Extraction using Deep Learning for Stress Corrosion Cracking in X-Ray Computed Tomography Scans of Al-Mg Alloys
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