AM Digital Thread & Materials Data Generation

High-quality materials data and standardization are interdependent and foundational to sustaining the growing adoption of Additive Manufacturing (AM) technology. While in the past there has been much data generated, often the pedigree is too low to trust and fully utilize the data. This panel will discuss opportunities created from standardized high-pedigree materials data generation for developing the tools, such as physics-based and AI/ML models, needed to support rapid process optimization and qualification of new AM applications, materials and technologies and real-time quality assurance needed to scale AM production. The discussion will explore advancements of the AM digital thread to enable the acquisition and management of high-pedigree AM materials data and activities such as the ASTM Consortium for Materials Data and Standardization (CMDS) which is bringing organizations together from across the entire AM value stream to collaborate on standardizing the requirements and best practices for AM material data generation and creating and managing shared high-pedigree “reference” datasets.