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Meeting MS&T26: Materials Science & Technology
Symposium Computational Materials for Qualification and Certification
Presentation Title Qualification and Certification for Additive Manufacturing Parts in the US Navy
Author(s) Matthew J. Dantin
On-Site Speaker (Planned) Matthew J. Dantin
Abstract Scope The US Navy is rapidly expanding additive manufacturing (AM) adoption for prototyping and end-use parts. Successful integration hinges on robust process qualification and repeatable part certification methodologies. This presentation details current challenges faced in qualifying AM processes for applications, specifically addressing material variability, in-situ process control, and the ongoing efforts of standardized qualification frameworks tailored to marine environments. The presentation will highlight critical needs for accelerated qualification pathways, process modeling and simulation efforts, improved nondestructive inspection techniques, and data management strategies to ensure the reliability and performance of AM components deployed in Naval systems. Ultimately, the topics discussed in this presentation seek to accelerate the adoption of certified AM components, enhancing Naval readiness and operational capabilities.

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

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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