Additive Manufacturing Benchmarks 2022 (AM-Bench 2022): Qualification & Certification
Program Organizers: Brandon Lane, National Institute of Standards and Technology; Lyle Levine, National Institute of Standards and Technology
Thursday 1:30 PM
August 18, 2022
Room: Regency Ballroom I & II
Location: Hyatt Regency Bethesda
Session Chair: Edward Glaessgen, NASA Langley Research Center; Michael Gorelik, FAA
1:30 PM Introductory Comments
1:40 PM
A Regulatory Perspective on ICME / CM and Model-enabled Certification: Michael Gorelik1; 1FAA
Development and maturation of the physics based models in general, and ICME / CM frameworks in particular have been steadily expanding across the industry. However, their use in qualification and especially certification processes at present remains very limited. Some of the contributing factors include relatively low TRL levels for these technologies, and limited engagement with the certifying agencies. This presentation briefly discusses both challenges and enablers for the broader use of ICME / CM in the qualification and certification domains for new materials and processes. Several examples will be used to illustrate these concepts, highlighting both successful application experience, as well as the areas where the use of ICME / CM methods could result in substantial improvements over the current state. The above topics will be presented from the regulator’s perspective.
2:00 PM
Computational Materials in AM: the Incremental Path to Certification Use: Douglas Wells1; 1NASA - Marshall Space Flight Center
Computational materials and its various sub-disciplines, such as material-related machine learning, have a wide variety of uses in AM. Applications of computational material methods range from full-physics modeling of process with predictions of the resulting material structure and properties, to much simpler tasks that aid in witness specimen evaluations in production. The use of computational material-related models in certification is a relatively new endeavor for the discipline, which by good measure is rooted in conservatism. The chosen path to implementation of such capabilities into certification activities is important. An incremental approach that focuses first on small, well-validated contributions to the certification process should be the priority now. These “small wins” help pave the way for acceptance of increasingly complex computational material contributions to certification rationale. In the meantime, advanced computational material models continue to evolve and shape our understanding of the AM process, providing a foundation for potentially revolutionary improvements.
2:20 PM
Computational Materials for Qualification and Certification (CM4QC) Steering Group: Edward Glaessgen1; Michael Gorelik2; 1NASA Langley Research Center; 2FAA
The Computational Materials for Qualification and Certification (CM4QC) Steering Group is a recently assembled team from U.S. industry, government and academia that is exploring ways of maturing Computational Materials (CM) framework capabilities to enable their use in the context of qualification and certification (Q&C) of metallic process intensive materials (PIM) for aeronautics applications, including, but not limited to metal additive manufacturing.CM4QC will strive to inform the industry and the certifying agencies on how to enhance the current Q&C practices through the insertion of CM capabilities and will identify technical and regulatory considerations that should enable a broader use and acceptance of CM methods within a Q&C framework. This presentation will focus on development of a community vision roadmap that spans topics related to the use of CM capabilities within industry’s Q&C framework, identification of regulatory gaps and requirements, and identification and required development of key CM and enabling technologies.
2:40 PM
Lockheed Martin Workflows Incorporating ICME: Derrick Lamm1; Jeffery Aguiar1; 1Lockheed Martin
Lockheed Martin’s Corporate Emerging Technology team is developing tools and capability to predict thermal and mechanical properties using integrated computational materials engineering workflows. The workflows help guide Design of Experiments for a variety of applications where we can target mission performance attributes to derive material and process optimization. The presentation will highlight a couple of Lockheed Martin workflows that incorporate ICME.
3:00 PM
Model-Assisted Validation and Certification of AM Components: David Furrer1; 1Pratt & Whitney
Advanced manufacturing processes are enabling to use of modeling and simulation for both product and process design and optimization, as well as validation and certification. The use of models to provide direct guidance in the identification of critical to quality and critical to component capability parameters is being more accessible and more common. Computational models that can simulate advanced manufacturing processes, such as additive manufacturing (AM), are able to predict sensitivities of manufacturing process paths and final component microstructure, mechanical properties, residual stresses and potential for location-specific build defects. A short discussion regarding how modeling tools and methods are being utilized in conjunction with manufacturing process data to establish more complete understanding of final product forms and requirements for quality control will be provided.
3:20 PM Break
3:40 PM Panel Discussion
4:40 PM Concluding Comments