Semi-automatic determination of geometrical properties of short natural fibers in biocomposites by digital image processing

Victoria Mera-Moya, Jorge I. Fajardo, Iális C. de Paula Junior, Leslie Bustamante, Luis J. Cruz, Thiago Barros

    Research output: Chapter in Book/Report/Conference proceedingConference and proceedingspeer-review

    3 Scopus citations

    Abstract

    The present article proposes a method for the estimation of geometrical properties of short natural fibers that act as reinforcing phase in polymeric composites. The extraction of the image attributes is performed based on the analysis of microscopic images taken in different sections of the material, requiring a minimal user intervention. The proposed method estimates the orientation tensor of the short fibers from geometrical characteristics such as inclination, length, width and aspect ratio, using an elliptical covering on each fiber. The method validation was performed on a polypropylene composite reinforced with 30% by weight of bamboo short fibers (guadua angustifolia species), the accuracy and precision of the proposed method proved to be adequate. The a11 element of the orientation tensor was evaluated and the results agree in 98% with respect to the commercial software. This technique is a fast alternative of low cost in characterization of new materials.

    Original languageEnglish
    Title of host publicationProceedings of the International Conference on Information Technology and Systems, ICITS 2018
    EditorsAlvaro Rocha, Teresa Guarda
    PublisherSpringer Verlag
    Pages387-396
    Number of pages10
    ISBN (Print)9783319734491
    DOIs
    StatePublished - 2018
    EventInternational Conference on Information Technology and Systems, ICITS18 - Libertad city, Ecuador
    Duration: 11 Jan 201713 Jan 2017

    Publication series

    NameAdvances in Intelligent Systems and Computing
    Volume721
    ISSN (Print)2194-5357

    Conference

    ConferenceInternational Conference on Information Technology and Systems, ICITS18
    Country/TerritoryEcuador
    CityLibertad city
    Period11/01/1713/01/17

    Bibliographical note

    Publisher Copyright:
    © Springer International Publishing AG 2018.

    Keywords

    • Biomaterials
    • Composite materials
    • Digital image processing
    • Orientation tensor

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