Project

A novel high fidelity and fibre-based modelling framework enabling textile manufacturing digital twins

Code
G059425N
Duration
01 January 2025 → 31 December 2028
Funding
Research Foundation - Flanders (FWO)
Promotor-spokesperson
Research disciplines
  • Engineering and technology
    • Textile technology
    • Computational materials science
    • Materials processing
    • Textiles
Keywords
Predictive modelling Fiber-based modelling
 
Project description

Material and process optimization are key factors that could improve textile production and application, especially with the quest for faster and better production processes as well as higher material performance in technical applications. Although a model-based digital twin is often used in other industries, the multi-scale nature of textile materials makes this a challenging topic and requires advanced modelling procedures. The main goal of this research proposal is to expand the virtual fibre modelling framework developed in my junior postdoctoral fellowship towards textile materials and manufacturing, requiring new methodologies for advanced material behaviour under dynamical and rate-dependent conditions. The project covers all scales from fibre to fabric, and foresees multiple new developments in the virtual fibre methodology. With this framework, we can then simulate typical textile manufacturing processes (weaving, knitting, braiding) and analyse for example the effect of material properties, the occurrence of defects and the processing speed and timing, to optimise current manufacturing routes for better material performance and more energy efficient processes.