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Meeting 2016 TMS Annual Meeting & Exhibition
Symposium ICME Infrastructure Development for Accelerated Materials Design: Data Repositories, Informatics, and Computational Tools
Presentation Title An ICME Approach to the Investigation of the Relationship between Processing Parameters and Microstructure Development in an Extruded ZE20 Magnesium Alloy
Author(s) Joy Forsmark, Mei Li, Raj Mishra, Plumeri John, Richard Michie, Ahmad Chamanfar, Wojciech Misiolek, Zachary McClelland, Andrew Oppedal, Mark Horstemeyer, Stephen Horstemeyer, Xianfeng Ma, John Allison, Scott Sutton, Alan Luo, Eric Nyberg, Nes Abdulrahman
On-Site Speaker (Planned) Joy Forsmark
Abstract Scope The USAMP Mg Front End Program has recently been investigating a novel magnesium extrusion alloy, ZE20, for its potential to have improved extrusion and mechanical properties over conventional extruded Mg alloys such as AM30. ZE20 has shown improvement in ductility and less directional anisotropy due to a more random texture than is generally exhibited in the conventional structural alloys. In this work, four universities, a national lab, and several commercial manufacturers have collaborated to determine the influence of processing parameters on the texture and microstructure of two small I-beam extrusions of different geometries. Models have been created, and validated experimentally, to describe both the localized properties during the extrusion process and the subsequent microstructure observed. This program demonstrates the workflow required to utilize ICME principles in the development of predictive tools while leveraging the resources of multiple institutions.
Proceedings Inclusion? Planned: A print-only volume


3D Digital Representations of Knitted Textile Architectures
An ICME Approach to Generation Three Advanced High Strength Steel Development
An ICME Approach to the Investigation of the Relationship between Processing Parameters and Microstructure Development in an Extruded ZE20 Magnesium Alloy
An Integrated Model for Prediction of Yield Stress in Al-7Si-Mg Cast Alloys
Analytics on Large Microstructure Datasets Using 2-pt Statistics
Assessing the State of Manufacturing Process Data and its Potential as a Shared Resource for ICME
Automated Convergence Checks with the Python Based Workbench PyIron
D2C – Converting and Compressing Discrete Dislocation Microstructure Data
Data Curation and Exchange the Easy Way: Modular Data Models and Automated Capture
Data Structures and Algorithms for Thermodynamic and Related Data in the Open Calphad Software System
Development of Common Materials Classification Terminology to Enhance Discoverability, Exchange, and Reuse of Data
Evaluating Image Texture Recognition Algorithms for Generic Microstructure Characterization
Experiences with ICME Information Infrastructures for Applying Materials Models in Sequence to Give Accurate Macroscopic Property Prediction
Genomic Data Infrastructure for Computational Materials Design
Magpie: A Materials-Agnostic Platform for Informatics and Exploration
Materials Data Curation System
Materials Data Management and Chaining of Multiprocess Modeling under the Framework of ICME
Microstructural Modeling of Dynamic Intergranular and Transgranular Fracture Modes in Crystalline Alloys
MIDAS: A Workflow Tool for Improving Materials Strength Modeling
PRISMS: An Integrated Predictive Multi-Scale Capability for the Materials Community
Spectral Database Solutions to Elasto-viscoplasticity within Finite Elements
Statistical Characterization of Microstructure-sensitive Models Applied to Engineering Components
The Materials Data Facility - Data Services to Advance Materials Science Research
Towards an ICME Methodology: Current Activities in Europe
Towards Better Efficiency and Accuracy: Data Mining for Prediction and Optimization in Materials System Design
Web Based Nano-materials Design Platform for Li Ion Battery

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