Image-based finite element modelling of fibre dynamics in polyester staple spun yarns

Haoqi Zhang, Abdul Jabbar, Aonan Li, Xinxin Wang, Muhammad Tausif, Dongmin Yang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper introduces an innovative finite element (FE) modelling approach for fibre dynamics in a staple spun yarn based on the geometrical model derived from X-ray microcomputed tomography (μCT) images. The FE model retains crucial in situ information on fibre anisotropy, length, and continuity while employing advanced stitched scanning technique to reconstruct a 15mm yarn length containing individual fibres with ∼10μm diameter. The research focuses on 100% polyethylene terephthalate (PET) staple ring-spun yarn as a case study, conducting both single fibre and yarn tensile tests to characterise material properties and validate the FE model, respectively. Beyond examining the mechanical response at the yarn level, the model facilitates the investigation of individual fibre’s tensile stress, frictional forces, and extent of migration, thereby enhancing the understanding of fibre interactions during yarn tensile loading. Furthermore, the model enables parametric studies through manipulation of inter-fibre friction coefficients allowing assessment of their impact on overall mechanical behaviour. This innovative modelling approach demonstrates significant potential for exploring the constitutive and failure mechanisms for formation of microplastics from textiles and textile materials in general as well as fibre-reinforced composites. It addresses the critical research gaps in simulating anisotropic behaviours of materials containing textile fibres, paving the way for advanced material design and analysis in materials science and engineering.
Original languageEnglish
Article number111036
JournalComposites Science and Technology
Volume261
Early online date3 Jan 2025
DOIs
Publication statusPublished - 1 Mar 2025

Keywords / Materials (for Non-textual outputs)

  • Finite element method
  • Image-based modelling
  • Microplastics
  • Staple spun yarn
  • X-ray microcomputed tomography (μCT)

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