DE · CAASE 2021 · Manufacturing

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Session 3: Supporting the Simulation Community by Building a Broad-Based Additive Manufacturing Infrastructure

Additive manufacturing (AM) of metals is a rapidly growing advanced manufacturing paradigm that promises unparalleled flexibility in the production of parts with complex geometries. This enhanced flexibility enables mass customization, improved performance, reduced manufacturing and system costs, and new opportunity spaces.

However, major challenges remain in the areas of reproducibility, reliability, and performance of AM components. Solutions to these challenges require broad-based infrastructure-development investments, and many of these are focused on the critical role of computer simulations.

As the primary measurement institute for the United States, the National Institute of Standards and Technology (NIST) is deeply involved in these AM infrastructure-development efforts. I will describe our role in areas such as qualification & certification (Q&C), validation, benchmarks, and measurement standards. For Q&C, NIST is a founding member of Computational Materials for Qualification and Certification (CM4QC), an AM-focused steering group with members from 12 aerospace companies, 8 government agencies, and 5 universities.

One of the goals of CM4QC is to develop voluntary guidance for evaluating the maturity level of software packages for Q&C. I will also describe our establishment of the Additive Manufacturing Benchmark Series (AM-Bench), a continuing series of highly controlled benchmark measurements for additive manufacturing that modelers around the world are using to guide and validate their AM simulations.

Lastly, I will briefly discuss the critical role that NIST plays in developing AM-focused measurement capabilities and standards that underlie national efforts to improve reproducibility and reliability of AM components.

Key takeaways include:

  • Computer simulation is a key enabler for expanding the application space for metal AM
  • Expanded use of computer simulation for Q&C requires critical investments in both validation and simulation uncertainty quantification
  • NIST is developing critical measurement science, standards, technology, data and models to enable US innovation in AM

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Speaker/Presenter: Lyle E. Levine

Senior Physicist
National Institute of Standards and Technology (NIST)

About Lyle

Dr. Lyle Levine is a senior physicist at the National Institute of Standards and Technology (NIST), where he leads most materials-focused research in additive manufacturing (AM) of metals. Dr. Levine splits his time between leading science and engineering infrastructure development efforts at the national and international level, guiding and conducting research into AM and synchrotron X-ray science, and serving on advisory and executive committees at national laboratories and universities.

The AM infrastructure efforts Dr. Levine focuses on include the Additive Manufacturing Benchmark Series (AM Bench), Computational Materials for Qualification and Certification (CM4QC), and Transforming Additive Manufacturing through Exascale Simulation (ExaAM). Founded by Dr. Levine in 2015, AM Bench is the world’s leading provider of AM benchmark data used worldwide to guide and validate AM simulation codes.

Moderator: Kenneth Wong

Senior Editor
Digital Engineering

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