Statistical and Data-Driven Methods for Additive Manufacturing Qualification: Proceedings of a Workshop

By: National Academies of Sciences, Engineering, and Medicine and Division on Engineering and Physical Sciences and National Materials and Manufacturing Board and Board on Mathematical Sciences and Analytics

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Synopsis: Additive manufacturing (AM), the process in which a three-dimensional (3D) object is built by adding subsequent layers of materials, enables novel material compositions and shapes, often without the need for specialized tooling. On March 11-13, 2024, the Board on Mathematical Sciences and Analytics of the National Academies held a workshop on Statistical and Data-Driven Methods for Additive Manufacturing. The workshop brought together researchers from different AM communities, statisticians, data scientists, and AI/machine learning (ML) experts to examine approaches that enhance dimensional accuracy and dimensional stability; recent advances and future directions in statistics, data analytics, AI, and ML; and the issues associated with a rapid advance of AM material qualification and part certification.