Integrating Materials and Manufacturing Innovation
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High resolution micrograph synthesis using a parametric texture model and a particle filter
Integrating Materials and Manufacturing Innovation - Tập 2 - Trang 36-53 - 2013
We present a methodology for synthesizing high resolution micrographs from low resolution ones using a parametric texture model and a particle filter. Information contained in high resolution micrographs is relevant to the accurate prediction of microstructural behavior and the nucleation of instabilities. As these micrographs may be tedious and uneconomical to obtain over an extended spatial doma......
The BAREFOOT Optimization Framework
Integrating Materials and Manufacturing Innovation - Tập 10 - Trang 644-660 - 2021
This work presents a description of the Batch Reification/Fusion Optimization Framework (BAREFOOT). BAREFOOT is a Bayesian Optimization (BO) Framework that has been built specifically for the aim of material optimization and design. The Framework combines multi-fidelity model fusion with batch BO to enable accelerated materials design. The Framework is built in Python and is available as open-sour......
An ICME Method for Predicting Phase Dissolution During Solution Treatment in Advanced Super Vacuum Die Cast Magnesium Alloys
Integrating Materials and Manufacturing Innovation - Tập 9 - Trang 301-313 - 2020
An integrated computational materials engineering (ICME) methodology was applied in this study to systematically and quantitatively study the second phase dissolution kinetics during the solution treatment process of a high pressure die cast magnesium sample. The study was conducted on Mg–9 wt% Al, Mg–5 wt% Al, and Mg–11 wt% Al binary alloys after isothermal solution treatments ranging from 380 to......
Data Mining and Visualization of High-Dimensional ICME Data for Additive Manufacturing
Integrating Materials and Manufacturing Innovation - Tập 11 - Trang 57-70 - 2022
Integrated computational materials engineering (ICME) methods combining CALPHAD with process-based simulations can produce rich, high-dimensional data for alloy and process design. In ICME methods for metallurgical applications, the visualization and interpretation of such high-dimensional data has previously been through heat maps represented in 2 or 3 dimensions. While such an approach is ideal ......
Introducing the Data descriptor article
Integrating Materials and Manufacturing Innovation - Tập 4 - Trang 190-191 - 2015
A New Numerical-Homogenization Method to Predict the Effective Permittivity of Composite Materials
Integrating Materials and Manufacturing Innovation - Tập 9 - Trang 423-434 - 2020
The effective permittivity of composite materials depends highly on the geometry, the arrangement, and the permittivity of each component. This research proposes a new numerical method that takes into account those dependencies through assemblies of virtual capacitors (electrical circuit). Then, the effective permittivity is calculated from the equivalent capacity of the suggested circuits. The ne......
A Framework for the Systematic Design of Segmentation Workflows
Integrating Materials and Manufacturing Innovation - - 2020
Segmentation of microscopy images is an essential step in most experimental studies of process–structure–property relationships in advanced materials. Currently employed segmentation approaches require the user to identify and string together a sequence of algorithms (and codes) into customized workflows that need extensive tweaking and optimization (often accomplished through repeated trials) for......
Comparative Assessment of Physics-Based Computational Models on the NIST Benchmark Study of Molten Pool Dimensions and Microstructure for Selective Laser Melting of Inconel 625
Integrating Materials and Manufacturing Innovation - Tập 10 - Trang 58-71 - 2021
This work presents a comparative assessment of different computation models with considering varying degrees of physics for the challenges within the National Institute of Standards and Technology (NIST) Additive Manufacturing benchmark problem AMB2018-02. The melt pool geometry, cooling rates, and dendritic microstructure of the single laser scan tracks on bare Inconel 625 plates are predicted by......
Model-Based Feature Information Network (MFIN): A Digital Twin Framework to Integrate Location-Specific Material Behavior Within Component Design, Manufacturing, and Performance Analysis
Integrating Materials and Manufacturing Innovation - Tập 9 - Trang 394-409 - 2020
The digital transformation of manufacturing requires digitalization, including automatic and efficient data exchange. Model-based definitions (MBDs) capture digital product definitions, in order to eliminate error-prone information exchange associated with traditional paper-based drawings and to provide contextual information through additional metadata. The flow of MBDs extends throughout the pro......
Context Aware Machine Learning Approaches for Modeling Elastic Localization in Three-Dimensional Composite Microstructures
Integrating Materials and Manufacturing Innovation - Tập 6 - Trang 160-171 - 2017
The response of a composite material is the result of a complex interplay between the prevailing mechanics and the heterogenous structure at disparate spatial and temporal scales. Understanding and capturing the multiscale phenomena is critical for materials modeling and can be pursued both by physical simulation-based modeling as well as data-driven machine learning-based modeling. In this work, ......
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