A planning committee appointed by the National Academies of Sciences, Engineering, and Medicine will organize a workshop to examine the following topics:
1. Approaches that enhance dimensional accuracy in additive manufacturing and post-additive processes and dimensional stability in usage, including potential innovations in process, control, and materials design.
2. Recent advances and future directions in statistics, data analytics, artificial intelligence, and machine learning that have the potential to aid automated procedures for machine calibration and processing parameters along the toolpath correction in additive manufacturing processes.
3. Based on the outcome of (1) and (2), what are the issues associated with a rapid advance of additive manufacturing material qualification and part certification.
In addressing these topics, the workshop will:
- Bring together domain researchers from different additive manufacturing communities, statisticians, data scientists, and artificial intelligence/machine learning experts to share ideas, best practices, and opportunities; and
- Identify new research program areas that have the potential to advance additive manufacturing.
One or more rapporteurs who are not members of the committee will be designated to prepare a workshop proceedings.