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Meeting 2026 TMS Annual Meeting & Exhibition
Symposium Computational Materials for Qualification and Certification
Presentation Title Computational Materials Tools for Qualification and Certification: Technology Maturation Path
Author(s) Corbett C. Battaile
On-Site Speaker (Planned) Corbett C. Battaile
Abstract Scope The implementation of computational materials (CM) tools in qualification and certification (Q&C) of additively manufactured products will require mature software with broad applicability across different material systems. Qualification pathways are based on the ability of these technologies to reach applicable technology and manufacturing readiness levels. These metrics are widely used for the development of prototypes and physical manufacturing of non-AM products and processes, but are less developed in the context of CM tools. While perhaps the most critical issues underlying the adoption of CM tools in Q&C include those of acceptance, adoption, and culture change, there are many other technological and engineering drivers. This presentation will provide an overview of some of those drivers, including build reproducibility, residual stresses and distortion, and fatigue performance. In addition, some of the critical gaps that limit CM maturation and adoption will be discussed.
Proceedings Inclusion? Planned:
Keywords Additive Manufacturing, Computational Materials Science & Engineering, Other

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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