4th World Congress on Integrated Computational Materials Engineering (ICME 2017): Integration Framework and Usage - IIA
Program Organizers: Paul Mason, Thermo-Calc Software Inc.; Michele Manuel, University of Florida; Alejandro Strachan, Purdue University; Ryan Glamm, Boeing Research and Technology; Georg J. Schmitz, Micress/Aachen; Amarendra Singh, IIT Kanpur; Charles Fisher, Naval Surface Warfare Center

Wednesday 10:30 AM
May 24, 2017
Room: Salon II, III
Location: Ann Arbor Marriott Ypsilanti at Eagle Crest

10:30 AM  
Improving Manufacturing Quality Using Integrated Computational Materials Engineering: Dana Frankel1; Nicholas Hatcher1; David Snyder1; Jason Sebastian1; Gregory Olson1; Gregory Vernon2; Wesley Everhart2; Lance Carroll2; 1QuesTek Innovations LLC; 2Honeywell Federal Manufacturing & Technologies
     The prediction of materials properties and their variation within a specification or design space is key in ensuring reliable production uniformity. To capture the complex mechanisms that underpin materials’ performance, processing-structure-properties links are established using a “systems design” approach. QuesTek has previously utilized multi-scale ICME modeling methodologies and tools (e.g., CALPHAD thermodynamic and kinetic databases, solidification models, strength models, etc.) and advanced characterization techniques to design advanced materials with improved performance. This work focuses on building an ICME infrastructure to predictively model properties of critical materials for energy and defense applications by optimizing existing materials, performing calculations to quantify uncertainty in material properties, and defining target specification ranges and processing parameters necessary to ensure design allowables. Starting with austenitic stainless steels (SS304L) and moving to soft magnetic alloys (Hiperco 50), metal powders for additive manufacturing (AlSi10Mg and Ti-6Al-4V), and glass-ceramic-to-metal seals (Elan/Paliney), we show how these ICME techniques can be used to optimize the manufacturing process of these materials. These efforts provide pathways to novel, fully optimized alloys and production processes using the Accelerated Insertion of Materials (AIM) methodology within ICME. The AIM method will be used for probabilistic properties prediction from material and process variables (e.g., chemistry and processing route) to enable rapid and cost-efficient process optimization. The Department of Energy’s Kansas City National Security Campus is operated and managed by Honeywell Federal Manufacturing & Technologies, LLC under contract number DE-NA0002839.

10:50 AM  
Creating an Integrated Collaborative Environment for Materials Research: Matthew Jacobsen1; Mark Benedict2; Bryon Foster2; Charles Ward2; 1USAF/AFRL; 2Air Force Research Laboratory
    The Integrated Collaborative Environment (ICE) is an emerging ICME cyberinfrastructure that provides a web-based federated software architecture supporting group and project spaces within which researchers can easily organize, share, and collaborate on the results of their experimental and computational efforts. It seamlessly connects researchers with experimental and computational resources for easy generation, collection, and storage of digital data to provide instant access to results with no intermediate transfers. It contains a robust Application Programming Interface (API) for federating any number of applications and repositories in a secure, efficient, and scalable manner. Persistent identifiers, extensive metadata, and object models are used to ensure historical research data are discoverable, interpretable, and reusable. The architecture is designed to be modular and agile for rapid deployment and expansion across disparate organizations. It comprises a number of open-source, commercial, and non-commercial software packages that provide the specific functionality needed to meet the large number of system requirements. The authors will provide an overview of the successful launch of functionalities such as digital workflow management, equipment integration, and object modeling. Additionally, a showcase of emerging developments in Internet of Things (IoT) technology, virtualization for modeling and simulation execution and tracking, and a communal marketplace for the exchange of tools, scripts, and applications will be provided. Finally, a plan for addressing the recent explosion of potential collaborative use cases between ICME organizations will be examined.