dc.contributor.advisor | Karaman, Ibrahim | |
dc.creator | Whitt, Austin | |
dc.date.accessioned | 2023-02-07T16:14:07Z | |
dc.date.available | 2024-05-01T06:05:48Z | |
dc.date.created | 2022-05 | |
dc.date.issued | 2022-04-13 | |
dc.date.submitted | May 2022 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/197260 | |
dc.description.abstract | Direct Energy Deposition (DED) is a metal additive manufacturing (AM) technique with the ability to fabricate compositional gradients through in-situ alloying. To fabricate functional gradients, it is necessary to understand what process parameters are suitable for printing the materials in the gradient. This study proposes a framework to optimize several critical process parameters: laser power, scan speed, mass flow rate, hatch spacing, and layer height. The framework utilizes single laser scans and geometric criteria to propose a range of process parameters likely to result in high-density parts. The proposed framework is validated by printing Fe-9wt.%Cr as a surrogate for radiation damage-resistant steels. These steels are of interest for functionally graded plasma-facing components in fusion reactors. Using the framework, high-density Fe-9wt.%Cr samples were fabricated using a variety of process parameters. The mechanical properties and microstructure of as-printed Fe-9wt.%Cr are characterized using tensile testing, microscopy, and X-ray diffraction. | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.subject | Printability Maps | |
dc.subject | Direct Energy Deposition | |
dc.subject | Additive Manufacturing | |
dc.subject | Steel Laser Cladding | |
dc.subject | Process Optimization | |
dc.subject | Laser Metal Deposition | |
dc.title | A Process Optimization Framework for Direct Energy Deposition: Densification, Microstructure, and Mechanical Properties of an Iron-Chromium Alloy | |
dc.type | Thesis | |
thesis.degree.department | Materials Science and Engineering | |
thesis.degree.discipline | Materials Science and Engineering | |
thesis.degree.grantor | Texas A&M University | |
thesis.degree.name | Master of Science | |
thesis.degree.level | Masters | |
dc.contributor.committeeMember | Arroyave, Raymundo | |
dc.contributor.committeeMember | Elwany, Alaa | |
dc.type.material | text | |
dc.date.updated | 2023-02-07T16:14:07Z | |
local.embargo.terms | 2024-05-01 | |
local.etdauthor.orcid | 0000-0003-0692-1073 | |