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Process-Structure-Property Data Alignment for Additive Manufacturing Data Registration



Shaw C. Feng, Yan Lu, Albert T. Jones


Melt-pool-monitoring, layer-wise-imaging, microstructure-analysis, and mechanical-property test data are becoming increasingly available during the additive manufacturing (AM) fabrication process. These data along with data analytics tools are becoming more important because they are needed to plan and control AM processes, validate part quality, and accelerate the qualification process. A major impediment to using those datasets, however, is that they sets are highly correlated. Even though they are obtained from different sensors, instruments, and testing machines that live in their own local, coordinate systems. Additionally, these correlated datasets must also be aligned with other build data such as process parameters and scan paths. This paper presents an innovative, data-registration procedure, which is the first step towards addressing the correlation problem. This procedure results in a common, reference, coordinate system that provides an effective way to use those datasets as inputs to downstream applications such as simulation, machine learning, and data analytics.
Advanced Manufacturing Series (NIST AMS) - 100-54
Report Number


additive manufacturing, data fusion, process-material-property relations


Feng, S. , Lu, Y. and Jones, A. (2023), Process-Structure-Property Data Alignment for Additive Manufacturing Data Registration, Advanced Manufacturing Series (NIST AMS), National Institute of Standards and Technology, Gaithersburg, MD, [online],, (Accessed June 24, 2024)


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Created July 17, 2023