Mechanical Engineering ETDs
Publication Date
Spring 4-11-2022
Abstract
Combining traditional methods of material analysis with in-situ monitoring of a Laser Powder Bed Fusion (LPBF) printed part, on a layer-to-layer basis, provides the data necessary to adjust printing parameters to achieve specific material properties. Additively manufactured technology has advanced in the ability to accommodate new materials and provide new use cases. Uncertainties in material properties have arisen alongside the advancements in additive manufacturing. The layer-wise print analysis will allow for detection and correlation of print anomalies to the material properties such as density, material strength, and surface roughness. The data processed from each layer will be used to further identify the ideal parameter settings for Kovar Steel by varying laser exposure time and point distance.
Keywords
Additive Manufacturing, Laser Scans, Kovar Steel
Degree Name
Mechanical Engineering
Level of Degree
Masters
Department Name
Mechanical Engineering
First Committee Member (Chair)
Peter Vorobieff
Second Committee Member
Yu-Lin Shen
Third Committee Member
Dale Cillessen
Document Type
Thesis
Language
English
Recommended Citation
Aragon, Matthew. "Incorporating In-situ Monitoring to Detect Anomalies in Additively Manufactured Kovar Steel on a Layer-to-Layer Basis." (2022). https://digitalrepository.unm.edu/me_etds/187
