Abstract Scope |
Additive manufacturing (AM) is a sophisticated technology requiring a large set of parameters for laser building and post processing to achieve the objective material performance. This presentation will demonstrate a pilot project with America Makes in which an intelligent data infrastructure is developed to archive, search, share, and reuse AM data in an automated fashion. A pedigree XML-based database accommodates the data including the project background, feedstock information, AM and post-building schedules, microstructure characterization, property measurements, and simulation codes. This infrastructure contains a Python tool to parse, cure, upload, and share data. To reduce the manual efforts for data entry, this tool integrates with a natural language processing tool for capturing the key words and project features in an ontology map for data mining. This presentation will also demonstrate the gaps between data and data models.
Case Number AFRL-2022-1546 was assigned a clearance of CLEARED on 31 Mar 2022.
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