In additive manufacturing (AM), a process-structure-property (PSP) relationship is needed for part qualification. To realize the PSP for any specific part, data from a variety of sensors and inspection instruments need to be aligned and correlated for a meaningful analysis. To make these data sets explainable and analyzable across different stages in the AM process, recently published ISO/ASTM 52953 (AM Data Registration Standard) that contains information about the coordinate system, microscopic settings, and specimen settings provides a characteristic of multi-modality in respective local coordinate systems of the part, sample, specimen, and image(s). Registering the data for data integration and analytics is becoming more important when the PSP relationships are needed to control AM processes, validate AM part quality, and improve the qualification processes for AM materials and machines. In this presentation, we introduce an innovative method for modeling AM images and metadata spanning in-situ measurement, ex-situ inspection, microstructure analysis, and mechanical property testing. The metadata supports defining locations, instrumentation, microscopic imaging, and coordinate systems of the part, coupon, sample, specimen, and images. The new data registration standard can be used for developing new data schemas, ontological structures, and various reference frames that are needed for new software development that leads to acceleration in part quality assessment. Challenges for developing data models and schemas to discover hidden relations for AM process, microstructure, and properties, as well as identifying a common reference frame will be explained. Finally, future work for implementations and testing will be presented.
Learning Objectives:
Upon completion, participants will be able to describe the need of using registered data to ensure fabricated parts for qualification.
Upon completion, participant will be able to list a family of key data registration methods for quality assessment.
