Improving manufacturing quality using integrated computational materials engineering

Dana Frankel*, Nicholas Hatcher, David Snyder, Jason Sebastian, Gregory B. Olson, Greg Vernon, Wes Everhart, Lance Carroll

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

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 Innovations LLC has previously utilized multi-scale ICME modeling methodologies and tools (e.g., CALPHAD thermodynamic and kinetic databases, property 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. Focusing on two material case studies, 304L austenitic stainless steel and glass-ceramic-to-metal seals, we show how these ICME techniques can be used to better understand process-structure and structure-property relationships. 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 is used for probabilistic properties forecasting to enable rapid and cost-efficient process optimization and material qualification.

Original languageEnglish (US)
Title of host publicationProceedings of the 4th World Congress on Integrated Computational Materials Engineering, ICME 2017
EditorsPaul Mason, Georg J. Schmitz, Amarendra K. Singh, Charles R. Fisher, Alejandro Strachan, Ryan Glamm, Michele V. Manuel
PublisherSpringer International Publishing
Pages23-32
Number of pages10
ISBN (Print)9783319578637
DOIs
StatePublished - 2017
Event4th World Congress on Integrated Computational Materials Engineering, ICME 2017 - Ypsilanti, United States
Duration: May 21 2017May 25 2017

Publication series

NameMinerals, Metals and Materials Series
VolumePart F4
ISSN (Print)2367-1181
ISSN (Electronic)2367-1696

Other

Other4th World Congress on Integrated Computational Materials Engineering, ICME 2017
Country/TerritoryUnited States
City Ypsilanti
Period5/21/175/25/17

Keywords

  • CALPHAD
  • ICME
  • Manufacturing
  • Materials design
  • Uncertainty quantification

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Energy Engineering and Power Technology
  • Mechanics of Materials
  • Metals and Alloys
  • Materials Chemistry

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