Evaluation of the elastic properties of composite materials by the rule of mixtures and computer program

Okabe, Ives; Miranda, Geisiane Freitas; Kuwahara, Moacir; Fujiyama, Roberto Tetsuo; Branco, César Tadeu Nasser Medeiros; Santos, Susana; Silva, Douglas; Almeida, Luciano Monteiro; Sousa, Fábio de; Marques, Luiz Fernando Nazaré; Figueiredo, Jullyane Milena Silva de

doi:10.26678/abcm.cobem2017.cob17-2837

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“…Melenka et al 3 , and Dutra et al 4 proposed models for mechanical properties prediction for this specific type of composites. Implementation of numerical models has been done using finite elements for uniaxial direction 5 and uniaxial and transverse directions 4,6 . However, such models consider individual fiber and matrix properties to predict the composite's properties using, at least, the Vf as the decisive parameter.…”

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confidence: 99%

Evaluation Through SEM Image Processing of the Volumetric Fiber Content in Continuos Fiber-Reinforced Additive Manufacturing Composites

et al. 2021

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This work shows the estimation of the volumetric fiber content (Vf) using image processing techniques. The Vf is needed to establish mechanical properties of composites using the rule of mixtures or other more advanced prediction models for the mechanical properties. The proposed method is tested with images acquired for carbon, Kevlar, and fiberglass fiber bundles used in the fiber deposition modeling (FDM) in the additive manufacturing process. The fiber bundles are provided by Markforged ® and are used in the Markforged Two ® printer. Then, different gray threshold and segregation algorithms are convolved with the digitized images to to isolate matrix from fibers such that a separate fiber and matrix area counting can be done and an appropriate Vf can be established. Results obtained with image analysis are close to values reported using technical standards, hence validating the proposed method.

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