This investigation presents a detailed description to evaluate and predict the orientation state of short fibers of "Guadua Angustifolia Kunth" (GAK) as reinforcement in polypropylene (PP) matrix by using the second order orientation tensor. For this, several samples were prepared by injection molding and then metallographically polished. The aim of this work is to predict the state planar orientation for short natural fibers as an initial stage to determine the mechanical behavior of composite materials. The tensor orientation is determined by using digital image processing in selected polished sections of different material samples. For both digital images processing and computational modeling it was possible to find different orientation states over all specimens. This method will allow us to know the real effect of the flow fibers on the main mechanical properties of the biocomposites.

Author Name: Jorge Isaac Fajardo Seminario, Gustavo Suarez, Luis Javier Cruz, Luis Eduardo Garzón Muñoz, Luis Marcelo López

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Keywords: Orientation tensor, polymeric composites, image processing

ISSN: 2068-0783

EISSN: 2068-0783

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