Thermal Spray Coating Characterization via Higher Dimensional Surfaces

dc.contributor.advisorBrake, Matthew RWen_US
dc.creatorAhadzie, Senyo Evanen_US
dc.date.accessioned2023-01-03T21:18:23Zen_US
dc.date.available2023-01-03T21:18:23Zen_US
dc.date.created2022-12en_US
dc.date.issued2022-12-02en_US
dc.date.submittedDecember 2022en_US
dc.date.updated2023-01-03T21:18:24Zen_US
dc.description.abstractThermal spray coatings are microscale coatings used to improve the surface properties of surfaces they are applied to. Statistical quantification can improve understanding of a thermal coating's microstructure; however, doing so in an automatic and autonomous manner from image data is non-trivial. A new methodology is developed to characterize thermal spray coatings from serial sectioning images (or other analogous image data) using manifold surfaces in higher dimensions, as well as associated operators on such data.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationAhadzie, Senyo Evan. "Thermal Spray Coating Characterization via Higher Dimensional Surfaces." (2022) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/114187">https://hdl.handle.net/1911/114187</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/114187en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectThermal spray coatingen_US
dc.subjectimage processingen_US
dc.subjectthermal spray coating characterizationen_US
dc.subjectdifferential geometryen_US
dc.subjectmesh processingen_US
dc.subjecten_US
dc.titleThermal Spray Coating Characterization via Higher Dimensional Surfacesen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentMechanical Engineeringen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
AHADZIE-DOCUMENT-2022.pdf
Size:
30.24 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
PROQUEST_LICENSE.txt
Size:
5.84 KB
Format:
Plain Text
Description:
No Thumbnail Available
Name:
LICENSE.txt
Size:
2.61 KB
Format:
Plain Text
Description: