Correlating In-Situ Monitoring Data with Internal Defects in Laser Powder Bed Fusion Additive Manufacturing
Joy Gockel, Ph.D. (Advisor); Nathan Klingbeil, Ph.D. (Committee Member); John Middendorf, Ph.D. (Committee Member)
Master of Science in Mechanical Engineering (MSME)
The presence of defects within laser powder bed fusion (LPBF) parts can lead to reduced mechanical properties and life of components. Because of this, the ability to detect these defects within the parts is critical before the part is subject to its intended loading. Normally the parts are subjected to a quality analysis once they are completed however, this process is typically expensive and time consuming. A solution for these problems is to sense the creation of defects and pores in the parts in-situ, while the part is being fabricated. One proposed method of in-situ monitoring is visible spectroscopy to identify defects based on the light intensities during prints. In this work, in-situ spectroscopy intensities and ex-situ computed tomography defect data are compared for different processing parameters and two LPBF builds to determine correlation. Results show that changes in the signals from the spectroscopy occur for different conditions of processing parameters and geometries.
Department or Program
Department of Mechanical and Materials Engineering
Year Degree Awarded
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