Additive Manufacturing Data Integration and Recommended Practice
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Published:2023
Abstract
Additive manufacturing (AM) creates parts layer by layer directly from three-dimensional computer-aided design data. This article discusses systematic ways to address the challenges in AM data integration by exploring various AM-specific data-integration scenarios that can improve the current AM ecosystem. Representative AM data sources are also described. A reference framework that captures the heterogenous AM data sources and existing data-integration mechanisms are used. General data-integration practices—based on existing manufacturing data and lab information system integration experiences—are recommended to automate AM data flow, operations, and development. Lastly, the article discusses the seven steps in the big-data-integration workflow.
Yan Lu, Milica Perisic, Albert Jones, Additive Manufacturing Data Integration and Recommended Practice, Additive Manufacturing Design and Applications, Vol 24A, ASM Handbook, Edited By Mohsen Seifi, David L. Bourell, William Frazier, Howard Kuhn, ASM International, 2023, p 226–232, https://doi.org/10.31399/asm.hb.v24A.a0006965
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