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Meeting 2026 TMS Annual Meeting & Exhibition
Symposium Computational Materials for Qualification and Certification
Presentation Title The Critical Roles of Verification, Validation, and Uncertainty Quantification for Qualification and Certification of Metal AM Components for the Aviation Industry
Author(s) Lyle E. Levine, Harry Millwater, Corbett Battaile, Edward Glaessgen, Michael Kane, Sankaran Mahadevan, Caglar Oskay, Carl Popelar, Anthony Rollett, Edwin Schwalbach, Paul Toivonen, Gregory Wagner
On-Site Speaker (Planned) Lyle E. Levine
Abstract Scope Additive manufacturing (AM) is a transformative set of manufacturing technologies, but difficulties persist regarding throughput, reproducibility, reliability, and properties of the printed parts and this seriously impacts qualification and certification (Q&C). After nearly five years of work, the Computational Materials for Qualification and Certification (CM4QC) Steering Group, comprised of representatives from the U.S. aviation industry, government regulatory and research agencies, and academia, has released a comprehensive strategy document that explores ways of maturing and developing trust in computational materials capabilities for use in the context of Q&C of metal AM for aviation applications. Here, the critical roles of verification, validation, and uncertainty quantification (VVUQ) will be discussed along with plans for continued work in these areas.
Proceedings Inclusion? Planned:
Keywords Computational Materials Science & Engineering, Additive Manufacturing, Modeling and Simulation

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

Accelerating the Qualification of New Structural Materials for High Temperature Nuclear Reactors With Physics- and Data-Driven Models
Achievements, Challenges, and Opportunities of a Zone-Based Probabilistic Damage Tolerance Framework for AM Components
Bayesian Modeling for Concurrent Process and Part Design for Large Scale Additive Manufacturing
Challenges in Prediction Microstructure Variability in SS316
Computational Materials for Qualification and Certification Steering Group and Community Vision Roadmap
Computational Materials Tools for Qualification and Certification: Technology Maturation Path
Parametrically Upscaled Model-Based Predictive Platform for Fatigue with Location-Specific Microstructural Linkages
Robust and Efficient Design of Additively Manufactured Alloys by Integrating Uncertainty Quantification and Modeling Using Generative AI
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

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