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Prediction of polypropylene yarn properties

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24410%2F12%3A%230001196" target="_blank" >RIV/46747885:24410/12:#0001196 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Prediction of polypropylene yarn properties

  • Original language description

    The models for prediction of polypropylene yarn packing density and strength are described. These models are based on the characteristics of fibers and yarns and also on the technological and material parameters of yarns. Groups of polypropylene yarns were spun in the pilot plant from the smallest to the greatest possible twist factor. Polypropylene fibers with different fineness, strength and deformation at break were used for yarn production. Radial and effective packing density were measured based onyarn cross-section analysis. For prediction of yarn packing density Neckar model was used. For prediction of yarn strength the fiber bundle strength, fiber elongation factor, yarn packing density and fiber orientation factor can be used. While studyingthe effect of the twist coefficient on the strength of polypropylene yarn the mechanism different from cotton yarn strength was found. Influence of fiber fineness on yarn packing density and strength was illustrated, too.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JJ - Other materials

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2012

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Vlakna a Textil

  • ISSN

    1335-0617

  • e-ISSN

  • Volume of the periodical

    19

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    SK - SLOVAKIA

  • Number of pages

    7

  • Pages from-to

    14-20

  • UT code for WoS article

  • EID of the result in the Scopus database