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Estatística
Título: QUANTIFICATION OF AUSTENITE-MARTENSITE IN LOW ALLOY STEEL BY IMAGE ANALYSIS
Autor: JULIO DAMIAN SUNI MAMANI
Colaborador(es): SIDNEI PACIORNIK - Orientador
IVANI DE SOUZA BOTT - Coorientador
Catalogação: 05/MAI/2014 Língua(s): PORTUGUESE - BRAZIL
Tipo: TEXT Subtipo: THESIS
Notas: [pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio.
[en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio.
Referência(s): [pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=22902&idi=1
[en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=22902&idi=2
DOI: https://doi.org/10.17771/PUCRio.acad.22902
Resumo:
This dissertation proposed the development of a quantification method, by microscopy, of the microconstituent Martensite-Austenite (MA) in a High Strength Low Alloy (HSLA) steel of the API5LX80 class. Images were obtained by Optical Microscopy (OM) and Scanning Electron Microscopy (SEM), in secondary electron (SE) and backscattered electron (BSE) modes. Digital Image Processing and Analysis (IA) was employed to process and quantify the acquired images and compare the results of the two types of microscopy. The main challenge was to discriminate the MA amidst a complex multiphase microstructure with varying fractions of ferrite, bainite and MA itself. To reveal the MA different chemical and electrolytic etching sequences were tested. The results showed that a mixed combination with an extra step of modified LePera etchant issued the best contrast for both OM and BSE mode SEM. SEM images in SE mode showed edge problems due to the location of the electron detector, what prevented the correct discrimination of MA regions. The accelerating voltage in the BSE mode was reduced to 5 kV which in turn decreased beam penetration and increase contrast due to the thin MA layer. These images were filtered to reduce noise and segmented by a simple threshold to quantify MA. In the color OM images MA was segmented by thresholds in the RGB or HSB color spaces and subsequently quantified. Employing Co-Site Microscopy images of identical fields acquired by OM and SEM, a direct comparison of the techniques was allowed. It was show that, for the same magnification, optical microscopy tends to underestimate the MA fraction when compared to electron microscopy in BSE mode.
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