• DocumentCode
    591698
  • Title

    Modelling yarn frictions with validated uniaxial-puncture plain 1/1 woven fabric models

  • Author

    Yahya, M.F. ; Salleh, J. ; Ahmad, Wan Yunus Wan ; Ghani, S.A.

  • Author_Institution
    Fac. of Appl. Sci., Univ. Teknol. MARA (UiTM), Shah Alam, Malaysia
  • fYear
    2012
  • fDate
    23-26 Sept. 2012
  • Firstpage
    462
  • Lastpage
    467
  • Abstract
    The article presents simulation work to model puncture impact damage of woven fabric with multitude of yarn frictions settings. Woven fabric models were developed with ABAQUS finite element analysis software package. Large scale woven fabric models consisting of 112 yarns in both warp and weft direction were developed with ABAQUS preprocessor module prior to simulation analysis. Woven fabric model development procedure for finite element analysis was based on the validated uniaxial tensile model reported in the earlier publication. It was found from the simulations that puncture and uniaxial tensile had similar stress-strain behavior especially at low strains. Woven fabric with high yarn friction settings would presence stiffer behavior as opposed to its lower friction settings.
  • Keywords
    fabrics; finite element analysis; friction; stress-strain relations; woven composites; yarn; ABAQUS finite element analysis software package; ABAQUS preprocessor module; puncture impact damage model; simulation analysis; stress strain behavior; uniaxial tensile model; validated uniaxial puncture plain; weft direction; woven fabric model; yarn friction modelling; yarn friction settings; Business; Decision support systems; Plain 1/1; finite element analysis; isotropic; puncture; stress-strain; woven fabrics; yarn frictions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business, Engineering and Industrial Applications (ISBEIA), 2012 IEEE Symposium on
  • Conference_Location
    Bandung
  • Print_ISBN
    978-1-4577-1632-4
  • Type

    conf

  • DOI
    10.1109/ISBEIA.2012.6422928
  • Filename
    6422928