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Meeting MS&T26: Materials Science & Technology
Symposium Computational Materials for Qualification and Certification
Presentation Title Transitioning from Basic Research to Industrial Applications for Metal AM Components
Author(s) Lyle E. Levine, Harry Millwater, Corbett Battaile, Edward Glaessgen, Michael Kane, Sankaran Mahadevan, Caglar Oskay, Carl Popelar, Tony Rollett, Edwin Schwalbach, Paul Toivonen
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). The Computational Materials for Qualification and Certification (CM4QC) Steering Group, comprised of representatives from the U.S. aviation industry, government, and academia, was established in September 2020 to explore ways of maturing and developing trust in computational materials capabilities for use in the context of Q&C of metal AM for aeronautics applications. Working Group 2 of CM4QC is responsible for exploring approaches for transitioning basic research to industrial applications for metal AM components. The three main aspects of this work that will be described include 1) the need for rigorous verification, validation, and uncertainty quantification (VVUQ), 2) a framework for defining simulation maturity levels, and 3) a methodology for describing how basic research feeds into specific engineering requirements.

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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