Date of Award
2022
Document Type
Thesis
Degree Name
Master of Science in Engineering (MSE)
Department
Mechanical and Aerospace Engineering
Committee Chair
Judy Schneider
Committee Member
Gang Wang
Committee Member
George Nelson
Subject(s)
Additive manufacturing, Nondestructive testing, Tomography
Abstract
Monitoring systems developed for laser powder bed fusion (LPBF) metal additive manufacturing (AM) can be useful in qualifying parts. Aerospace applications often require nondestructive evaluation (NDE) as part of a damage tolerance approach. However, AM poses a challenge for NDE due to the typical part size and complexity. In situ monitoring can potentially take advantage of the layer-wise manufacturing process to inspect the part as it is built. This requires correlating indications in the monitoring data with the formation of flaws in the finished part. To develop this correlation, LPBF samples were made with seeded voids. Destructive serial sectioning metallography was used to provide ground truth flaw characterization. The resolution capability of in situ monitoring was compared to the typical NDE method, computed tomography (CT). In situ monitoring was able to detect the presence of voids that were below the detection limit of CT but observable using serial sectioning metallography.
Recommended Citation
Lanigan, Erin, "Assessing flaw detection capability of laser powder bed fusion in situ monitoring" (2022). Theses. 390.
https://louis.uah.edu/uah-theses/390