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About this Symposium

Meeting MS&T26: Materials Science & Technology
Symposium Computational Materials for Qualification and Certification
Sponsorship TMS: Computational Materials Science and Engineering Committee
TMS: Mechanical Behavior of Materials Committee
Organizer(s) Corbett C. Battaile, Sandia National Laboratories
Anthony D. Rollett, Carnegie Mellon University
Edward Glaessgen, NASA
Michael Gorelik, Federal Aviation Administration
Lyle E. Levine, National Institute of Standards and Technology
Scope This symposium will bring together practitioners and decision-makers from multiple sectors, i.e. industry, academia, and government, to discuss the state-of-the-art and paths-forward in development and adoption of computational materials technologies in industries’ qualification and certification (Q&C) activities. The primary objectives of the symposium are to provide a detailed overview of the key elements relevant to the development and adoption of computational materials technologies in Q&C activities; facilitate continued collaborative discussions among the industrial, regulatory, and scientific communities including identification of areas for government and industry R&D investments; discuss the needs and requirements of the federal agencies and regulatory bodies in this arena; and increase airworthiness and the certifying authorities’ awareness and acceptance of computational materials informed methods for Q&C of structural or flight-critical parts made with metallic process intensive materials (PIM).

The motivation for organizing this symposium arose from several events that occurred over the past four years. In mid-November of 2019, a Workshop on Materials and Methods for Rapid Manufacturing for Commercial and Urban Aviation, organized by NASA’s Aeronautics Research Mission Directorate, was held in Washington DC. Subsequently, a Technical Interchange Meeting on Computational Materials Approaches for Qualification by Analysis, organized by NASA, NIST, and the FAA, was held on January 15-16 2020 at NASA Langley Research Center. Largely as a result of these two meetings, in September 2020 the Computational Materials for Qualification and Certification (CM4QC) Steering Group (SG) was established, including 25 member organizations, with a mission to explore strategies for maturing and developing trust in Computational Materials (CM) capabilities for use in the qualification and certification (Q&C) of metallic PIM for aeronautics applications, including but not limited to metals additive manufacturing (MAM). The culmination of the group’s activities will be a roadmap document that is on track to be completed by the end of 2023. The roadmap is a community vision spanning topics related to the use of CM capabilities as a component of industry’s Q&C framework; identification of the relevant regulatory gaps, enablers and requirements, including acceptable levels of V&V; identification of key CM and enabling technologies, assessment of their current maturity levels, and required future development and opportunities for investment. Part of this symposium will entail presentations focused on the roadmapping activities of the SG.

Abstracts Due 05/19/2026

PRESENTATIONS APPROVED FOR THIS SYMPOSIUM INCLUDE


3D Characterization of Microstructure in Printed Alloys Prone to Solidification Cracking
Acoustics for In-Situ Process Data to Inform Computational Models in Metal Additive Manufacturing
AI-Driven Materials Design for Resilient Manufacturing Under Uncertainty
An Overview of the OPAL Digital Twin to Predict Fatigue Lives Via a Inputs from Computational Materials Models and In-Situ Sensing
Benchmarking Spectral Solution Methods for the Mechanical Behavior of Additively Manufactured Metals Containing Pores
Challenges in Materials Maturation for Additive Manufacturing
Computational Materials for Qualification and Certification Steering Group and Community Vision Roadmap
Establishing the Severity of Pores in Structural Components
Integrated Modeling of Solidification Cracking in Fusion Welding of High-Strength Aluminum: Multi-Criteria Analysis Under Variable Restraints
Metal Additive Manufacturing Simulations Driven by In-Situ Experimental Data for Qualification and Certification
Practical Data Management in Computational Materials for Qualification and Certification
Probabilistic Fatigue Modeling of Powder Bed Fusion – Laser Beam Ti-6Al-4V with Model- and Measurement-Based Uncertainty
Providing Validation Datasets for Materials Process Modelling: A Cornell High Energy Synchrotron Source Perspective
Qualification and Certification for Additive Manufacturing Parts in the US Navy
Robust Manufacturing and Qualification of 3D-Printed Ceramics
The Critical Roles of Verification, Validation, and Uncertainty Quantification for Qualification and Certification of Metal AM Components for the Aviation Industry
Towards a Computational Digital Twin of Metals AM
Towards a Predictive Modeling Platform for Fatigue in Additively Manufactured Metals
Transitioning from Basic Research to Industrial Applications for Metal AM Components


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