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Master's Dissertation
DOI
https://doi.org/10.11606/D.85.2020.tde-18112021-124214
Document
Author
Full name
Victor Ansarah Mancini
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Paulo, 2020
Supervisor
Committee
Mesquita, Roberto Navarro de (President)
Iambartsev, Anatoli
Sene, Frank Ferrer
Title in Portuguese
Caracterização espacial e simulação microestrutural de compósitos unidirecionais
Keywords in Portuguese
compósitos
estatística espacial
padrão espacial de pontos
processamento de imagens
simulação microestrutural
transformada circular de Hough
Abstract in Portuguese
O presente trabalho tem por objetivo apresentar uma metodologia para a caracterização microestrutural de um material compósito a partir da técnica de processamento de imagens. Inicialmente foram obtidas imagens por microscopia óptica da seção transversal de um laminado unidirecional, em que se aplicaram o algoritmo da transformada circular de Hough para detecção das fibras e geração de máscaras binárias da microestrutura. A fração volumétrica local de fibra foi determinada pelas técnicas de contagem de pixels unitários e de razão entre áreas. A distribuição espacial das fibras foi analisada por métricas de estatística espacial,como distribuição dos vizinhos mais próximos, função intensidade de segunda ordem e função distribuição radial. A metodologia proposta apresentou como principal vantagem a capacidade de prover informações sobre a variação da fração volumétrica e da distribuição espacial de fibra ao longo da microestrutura do material compósito, podendo ser utilizada em análise e simulação micromecânica.
Title in English
Spatial characterization and microstructural simulation of unidirectional composites
Keywords in English
circle Hough transform
composites
image processing
microstructural simulation
optical microscopy
spatial statistics
Abstract in English
The main goal of this work is to present a methodology for the microstructural characterization of a composite material based on image processing techniques. Digital micrographs of the composite cross section were obtained from optical microscopy, which were processed by the circular Hough transform algorithm to detect fibers and to generate microstructural binary masks. The local fiber volume fraction was determined by the unitary pixels counting and area ratio techniques. Fibers spatial distribution was analyzed by spatial statistical metrics,such as nearest neighbor distribution,second-order intensity function and radial distribution function. The proposed methodology presented the advantage of providing data about volume fraction variation and fiber spatial distribution across the composite microstructure,which could be used in micromechanical analysis and simulation.
 
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Publishing Date
2021-11-29
 
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