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Obtención de la rugosidad a partir de imágenes obtenidas en un Microscopio Electrónico de Barrido

dc.rights.licenseAtribución-NoComercial-SinDerivadas 4.0 Internacional
dc.contributor.advisorSandino del Busto, John William
dc.contributor.authorGómez Mateus, José Alfredo
dc.date.accessioned2024-05-24T20:58:20Z
dc.date.available2024-05-24T20:58:20Z
dc.date.issued2023
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/86160
dc.descriptionilustraciones, diagramas
dc.description.abstractEsta investigación se enfoca en determinar la rugosidad superficial y su correlación con la dimensión fractal a partir de imágenes obtenidas mediante microscopía electrónica de barrido (SEM). Se empleó software libre para procesar imágenes y calcular parámetros de rugosidad y dimensión fractal en 3D. El estudio se centró en micrografías de una incisión en una lámina de aluminio, utilizando SIFT para detectar puntos característicos y el método de box counting para la dimensión fractal. Los resultados demostraron coherencia entre los perfiles de rugosidad medidos y los obtenidos mediante un perfilómetro, además de establecer correlaciones significativas entre la rugosidad promediada y la dimensión fractal. Este enfoque multidimensional proporciona una perspectiva más completa de la rugosidad, superando las limitaciones de las mediciones lineales y contribuyendo al entendimiento detallado de las superficies a nivel microscópico. (Texto tomado de la fuente).
dc.description.abstractThis research focuses on determining surface roughness and its correlation with the fractal dimension from images obtained through Scanning Electron Microscopy (SEM). Open-source software was used to process images and calculate roughness parameters and fractal dimension in 3D. The study centered on micrographs of an incision in an aluminum sheet, using SIFT to detect characteristic points and the box counting method for fractal dimension. The results demonstrated coherence between the measured roughness profiles and those obtained by a profilometer, in addition to establishing significant correlations between averaged roughness and fractal dimension. This multidimensional approach provides a more comprehensive perspective on roughness, overcoming the limitations of linear measurements and contributing to a detailed understanding of surfaces at the microscopic level.
dc.format.extentxv, 73 páginas
dc.format.mimetypeapplication/pdf
dc.language.isospa
dc.publisherUniversidad Nacional de Colombia
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.ddc000 - Ciencias de la computación, información y obras generales::005 - Programación, programas, datos de computación
dc.subject.ddc620 - Ingeniería y operaciones afines::621 - Física aplicada
dc.titleObtención de la rugosidad a partir de imágenes obtenidas en un Microscopio Electrónico de Barrido
dc.typeTrabajo de grado - Maestría
dc.type.driverinfo:eu-repo/semantics/masterThesis
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dc.publisher.programBogotá - Ciencias - Maestría en Ciencias - Física
dc.contributor.researchgroupMicroscopía Electrónica
dc.description.degreelevelMaestría
dc.description.degreenameMagíster en Ciencias - Física
dc.description.researchareaMicroscopía electrónica
dc.identifier.instnameUniversidad Nacional de Colombia
dc.identifier.reponameRepositorio Institucional Universidad Nacional de Colombia
dc.identifier.repourlhttps://repositorio.unal.edu.co/
dc.publisher.facultyFacultad de Ciencias
dc.publisher.placeBogotá, Colombia
dc.publisher.branchUniversidad Nacional de Colombia - Sede Bogotá
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dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.subject.proposalRugosidad
dc.subject.proposalMicroscopio Electrónico de Barrido
dc.subject.proposalReconstrucción en 3D
dc.subject.proposalNubes de puntos
dc.subject.proposalRoughness
dc.subject.proposalScanning Electron Microscopy
dc.subject.proposal3D reconstruction
dc.subject.proposalPoint clouds
dc.subject.proposalFractal dimension
dc.subject.proposalAlgoritmos de detección de puntos característicos
dc.subject.proposalDimensión fractal
dc.subject.proposalCharacteristic point detection algorithms
dc.title.translatedDetermination of roughness from images obtained with a Scanning Electron Microscope
dc.type.coarhttp://purl.org/coar/resource_type/c_bdcc
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.contentText
dc.type.redcolhttp://purl.org/redcol/resource_type/TM
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2
dcterms.audience.professionaldevelopmentEstudiantes
dcterms.audience.professionaldevelopmentInvestigadores
dc.subject.wikidataRugosidad (electrónica)
dc.subject.wikidatamicroscopio electrónico
dc.subject.wikidataelectron microscope
dc.subject.wikidatadimensión fractal
dc.subject.wikidatafractal dimension
dc.subject.wikidataalgoritmo
dc.subject.wikidataalgorithm


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