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MEASURED DATA ALIGNMENTS FOR MONITORING METAL ADDITIVE MANUFACTURING PROCESSES USING LASER POWDER BED FUSION METHODS

Published

Author(s)

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

Abstract

The number and types of measurement devices used for monitoring and controlling laser powder bed fusion (LPBF) processes and inspecting the resulting AM metal parts have increased rapidly in recent years. The variety of the data collected by such devices has increased, and the veracity of the data has decreased simultaneously. Each measurement device generates data in a unique coordinate system and in a unique data type. Data alignment, however, is required before 1) monitoring and controlling LPBF processes, 2) predicting the material properties of the final part, and 3) qualifying the resulting AM parts can be done. Aligned means all data must be transformed into a single coordinate system. In this paper, we describe a new, general data-alignment procedure and an example based on LPBF processes. The specific data objects used in this example include in-situ photogrammetry, thermography, and ex-situ X-ray computed tomography (XCT), coordinate metrology, and computer-aided design (CAD) models. We use the data-alignment procedure to align the data from melt pool images, scan paths, layer images, XCT three-dimensional (3D) model, coordinate measurements, and the 3D CAD model.
Proceedings Title
the ASME 2020 International Design Engineering Technical Conferences & Computers & Information in
Engineering Conference
Conference Dates
August 16-19, 2020
Conference Location
St. Louis, MO

Keywords

additive manufacturing, data alignment, data fusion, manufacturing system integration

Citation

Feng, S. , Lu, Y. and Jones, A. (2020), MEASURED DATA ALIGNMENTS FOR MONITORING METAL ADDITIVE MANUFACTURING PROCESSES USING LASER POWDER BED FUSION METHODS, the ASME 2020 International Design Engineering Technical Conferences & Computers & Information in Engineering Conference, St. Louis, MO, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=929944 (Accessed October 17, 2021)
Created August 15, 2020, Updated September 30, 2020