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Study of TIG Weld Microstructure Formation in Inconel 718 Alloy Using ICME Approach
The detrimental phase formation in Inconel 718 weld microstructure depends on welding conditions. This study uses the FEM simulation of the welding...
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Anomaly Detection in Materials Digital Twins with Multiscale ICME for Additive Manufacturing
Detecting anomaly in fatigue and fracture experimental materials science is an interesting yet challenging topic. The reasons are threefold. First,...
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Accelerated Discovery, Development, Manufacturing, and Deployment of New Materials Using Integrated Computational Materials Engineering (ICME) Tools and Digital Platforms
The transformative potential of the integrated computational materials engineering (ICME) tools and technologies in accelerating the discovery,... -
ICME framework to simulate microstructure evolution during laser powder bed fusion of Haynes 282 nickel-based superalloy
Haynes 282 is a creep-resistant, γ ′ strengthened nickel-based superalloy with excellent weldability. Additive manufacturing, especially laser powder...
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Data Mining and Visualization of High-Dimensional ICME Data for Additive Manufacturing
Integrated computational materials engineering (ICME) methods combining CALPHAD with process-based simulations can produce rich, high-dimensional...
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Computational Efficient Modeling of Supersolidus Liquid Phase Sintering in Multi-component Alloys for ICME Applications
One of the challenges in computational design of pre-alloyed powders for sintering is the absence of predictive, efficient, and fast acting models...
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Accelerated Design of Eutectic High Entropy Alloys by ICME Approach
Eutectic high entropy alloy with seven components is designed based on the integrated computational materials engineering (ICME) framework. The...
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Uncertainty quantification and composition optimization for alloy additive manufacturing through a CALPHAD-based ICME framework
During powder production, the pre-alloyed powder composition often deviates from the target composition leading to undesirable properties of additive...
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Machine Learning-Enabled Uncertainty Quantification for Modeling Structure–Property Linkages for Fatigue Critical Engineering Alloys Using an ICME Workflow
Integrated computational materials engineering (ICME) facilitates efficient approaches to new material discovery and design, as well as optimization...
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An ICME Framework to Predict the Microstructure and Yield Strength of INCONEL 718 for Different Heat Treatments
The superalloySuperalloys INCONEL 718Inconel 718 stands out for its excellent manufacturability and strength at ambient temperature. In most recent... -
ICME Framework for Simulation of Microstructure and Property Evolution During Gas Metal Arc Welding in DP980 Steel
An integrated computational materials engineering (ICME)-based workflow was adopted for the study of microstructure and property evolution at the...
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An ICME Method for Predicting Phase Dissolution During Solution Treatment in Advanced Super Vacuum Die Cast Magnesium Alloys
An integrated computational materials engineering (ICME) methodology was applied in this study to systematically and quantitatively study the second...
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Evolution of Model-Based Materials Definitions
Design, development, and manufacture of materials and components are inextricably linked to the methods to define the material and how it will be...
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Data Structures and Workflows for ICME
Integrated computational materials engineering (ICME) represents a grand challenge within materials research and development. Effective ICME involves... -
A brief review of data-driven ICME for intelligently discovering advanced structural metal materials: Insight into atomic and electronic building blocks
This article presents a brief review of our case studies of data-driven Integrated Computational Materials Engineering (ICME) for intelligently...
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Industry 4.0 Adoption Using AI/ML-Driven Metamodels for High-Performance Ductile Iron Sand Casting Design and Manufacturing
Data-centric near-real-time intelligent process control for smart manufacturing in an Industry 4.0 era is of tremendous value. Design and...
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Multi-faceted Uncertainty Quantification for Structure-Property Relationship with Crystal Plasticity Finite Element
The structure-property linkage is one of the two most important relationships in materials science besides the process-structure linkage, especially... -
Workflow for Robotic Point-of-Care Manufacturing of Personalized Maxillofacial Graft Fixation Hardware
As of this writing, Point-of-Care Manufacturing (POCM) occurs at a handful of advanced tertiary and quaternary care medical centers. These services...
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Computational Efficient Modeling of Sintering in Multi-component Alloys for ICME Applications
The major challenge while using sintering models for simulation of densification in multi-component alloys is finding the correct transport...
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A perspective on Bayesian methods applied to materials discovery and design
For more than two decades, there has been increasing interest in develo** frameworks for the accelerated discovery and design of novel materials...