Integrating Materials and Manufacturing Innovation

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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
Kyung-Min Hong, Corbin M. Grohol, Yung C. Shin
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... hiện toàn bộ
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
Saikiran Gopalakrishnan, Nathan W. Hartman, Michael D. Sangid
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... hiện toàn bộ
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
Ruoqian Liu, Yuksel C. Yabansu, Zijiang Yang, Alok N. Choudhary, Surya R. Kalidindi, Ankit Agrawal
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, ... hiện toàn bộ
High resolution micrograph synthesis using a parametric texture model and a particle filter
Integrating Materials and Manufacturing Innovation - Tập 2 - Trang 36-53 - 2013
Ramakrishna Tipireddy, Roger Ghanem, Somnath Ghosh, Daniel Paquet
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... hiện toàn bộ
Time-Resolved Geometric Feature Tracking Elucidates Laser-Induced Keyhole Dynamics
Integrating Materials and Manufacturing Innovation - Tập 10 - Trang 677-688 - 2021
Jongchan Pyeon, Joseph Aroh, Runbo Jiang, Amit K. Verma, Benjamin Gould, Andy Ramlatchan, Kamel Fezzaa, Niranjan Parab, Cang Zhao, Tao Sun, Anthony D. Rollett
During laser melting of metals, localized metal evaporation resulting in the formation of a keyhole shaped cavity can occur if processing conditions are chosen with high power density. An unstable keyhole can have deleterious effects in certain applications (e.g., laser powder bed fusion) as it increases the likelihood of producing defects such as porosity. In this work, we propose a pipeline that... hiện toàn bộ
Computational Efficient Modeling of Supersolidus Liquid Phase Sintering in Multi-component Alloys for ICME Applications
Integrating Materials and Manufacturing Innovation - Tập 12 - Trang 105-117 - 2023
Tesfaye T. Molla
One of the challenges in computational design of pre-alloyed powders for sintering is the absence of predictive, efficient, and fast acting models that enable the design space of alloys to be tractable. This study presents an efficient and predictive model to simulate the densification as well as shape distortion of pre-alloyed powder compacts during supersolidus liquid phase sintering (SLPS). The... hiện toàn bộ
Role of cyberinfrastructure in educating the next generation of computational materials scientists
Integrating Materials and Manufacturing Innovation - Tập 3 - Trang 85-89 - 2014
Susan B Sinnott, Simon R Phillpot
An overview of cyberinfrastructures developed to advance the field of materials modeling is presented. The role of cyberinfrastructures in educating the next generation of the workforce is also discussed, with an emphasis on the Cyberinfrastructure for Atomistic Simulation (CAMS). The paper concludes with a summary regarding the future outlook of cyberinfrastructures, especially with regard to edu... hiện toàn bộ
The development of phase-based property data using the CALPHAD method and infrastructure needs
Integrating Materials and Manufacturing Innovation - Tập 3 - Trang 158-180 - 2014
Carelyn E Campbell, Ursula R Kattner, Zi-Kui Liu
Initially, the CALPHAD (Calculation of Phase Diagrams) method was established as a tool for treating thermodynamics and phase equilibria of multicomponent systems. Since then the method has been successfully applied to diffusion mobilities in multicomponent systems, creating the foundation for simulation of diffusion processes in these systems. Recently, the CALPHAD method has been expanded to oth... hiện toàn bộ
Crystal Plasticity Finite Element Modeling of Extension Twinning in WE43 Mg Alloys: Calibration and Validation
Integrating Materials and Manufacturing Innovation - Tập 10 - Trang 488-507 - 2021
Mohammadreza Yaghoobi, Zhe Chen, Veera Sundararaghavan, Samantha Daly, John E. Allison
Crystal plasticity simulation is an important tool for advanced Integrated Computational Materials Engineering for metals and alloys. The current work presents a calibration and validation framework for crystal plasticity finite element (CPFE) simulation of extension twinning in the Mg alloy WE43 using the scanning electron microscopy with digital image correlation (SEM-DIC) technique. Rolled Mg a... hiện toàn bộ
Exploration of data science techniques to predict fatigue strength of steel from composition and processing parameters
Integrating Materials and Manufacturing Innovation - Tập 3 - Trang 90-108 - 2014
Ankit Agrawal, Parijat D Deshpande, Ahmet Cecen, Gautham P Basavarsu, Alok N Choudhary, Surya R Kalidindi
This paper describes the use of data analytics tools for predicting the fatigue strength of steels. Several physics-based as well as data-driven approaches have been used to arrive at correlations between various properties of alloys and their compositions and manufacturing process parameters. Data-driven approaches are of significant interest to materials engineers especially in arriving at extre... hiện toàn bộ
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