DATA REGISTRATION FOR IN-SITU MONITORING OF LASER POWDER BED FUSION PROCESSES
Shaw C. Feng, Yan Lu, Albert W. Jones
Increasingly, a wide range of in-situ sensors are being instrumented on additive manufacturing (AM) machines. Researchers and manufacturers use these sensors to collect a variety of data to monitor process performance and part quality. The amount and speed of the collected data are unprecedented; consequently, several data-related issues are now a major stumbling block. Broadly speaking, those issues include registration, curation, organization, storage, management, and analysis. This paper focuses on registration. It justifies the need for data registration by providing a gap analysis of the current registration approaches. It then identifies a set of data elements for registering sensor data collected from several types of in-situ sensors that are used to monitor laser powder bed fusion (L-PBF) processes. The paper also includes an example data model that captures the properties and relationships among those data elements. The data elements in that model will be proposed for standardization, which will provide industrial users with the capabilities and formats to capture, exchange, and share L-PBF process data easily.
Proceedings of the ASME 2019 International Mechanical Engineering Congress and Exposition
November 11-14, 2019
Salt Lake City, UT
International Mechanical Engineering Congress and Exposition
, Lu, Y.
and Jones, A.
DATA REGISTRATION FOR IN-SITU MONITORING OF LASER POWDER BED FUSION PROCESSES, Proceedings of the ASME 2019 International Mechanical Engineering Congress and Exposition, Salt Lake City, UT, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=927979
(Accessed December 8, 2023)