| Abstract Scope |
While AM is just “another tool in the toolbox”, or another way of making parts, it offers a unique opportunity which is the ability to collect large amounts of data from every single layer during the build process. Such a data-rich process should in theory allow users to develop simulation or machine learning packages to better understand, optimize, or customize the technology. However, this objective hasn’t been fully materialized due to various reasons including data quantity and quality. This presentation will provide an overview of the Data Management activities at the ASTM Advanced Manufacturing Center of Excellence (AM CoE). Key process variables (KPVs), automated data acquisition, data quality assessment, data transfer and sharing, as well as standardization gaps are among topics that will be discussed. In addition, our experiences, in collaboration with multiple organizations through government- and consortium-funded projects and lessons learned will be shared with the audience. |