Computed Tomography of Polymer Composites Reinforced with Natural Short Fiber

Paltán, César A.; Costa, J.; Fajardo, Jorge I.

doi:10.1007/978-3-030-24308-1_37

Cited by 2 publications

(1 citation statement)

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“…The images were created from the central area of the PP+30GAK S +4M and PP+40GAK S +8M specimens. The images were acquired with a resolution of 6.5 µm using a voltage of 45 kV and current of 160 µA, by means a Novadep micro-tomograph according to the method described by Paltán in [44]. The reconstructed three-dimensional images were filtered and subsequently thresholded to identify fibers, pores and matrix.…”

Section: Microtomography X (µ-Ct)mentioning

confidence: 99%

Micromechanical Model for Predicting the Tensile Properties of Guadua angustifolia Fibers Polypropylene-Based Composites

et al. 2022

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In this paper, the one-dimensional tensile behavior of Guadua angustifolia Kunth fibre/polypropylene (PP+GAKS) composites is modeled. The classical model of Kelly–Tyson and its Bowyer–Bader’s solution is not able to reproduce the entire stress—strain curve of the composite. An integral (In-Built) micromechanical model proposed by Isitman and Aykol, initially for synthetic fiber-reinforced composites, was applied to predict micromechanical parameters in short natural fiber composites. The proposed method integrates both the information of the experimental stress-strain curves and the morphology of the fiber bundles within the composite to estimate the interfacial shear strength (IFSS), fiber orientation efficiency factor ηFOD, fiber length efficiency factor ηFLD and critical fiber length lc. It was possible to reproduce the stress-strain curves of the PP+GAKS composite with low residual standard deviation. A methodology was applied using X-ray microtomography and digital image processing techniques for the precise extraction of the micromechanical parameters involved in the model. The results showed good agreement with the experimental data.

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Section: Microtomography X (µ-Ct)mentioning

confidence: 99%