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An optimized yarn-level geometric model for Finite Element Analysis of weft-knitted fabrics
Journal article   Open access   Peer reviewed

An optimized yarn-level geometric model for Finite Element Analysis of weft-knitted fabrics

Paras Wadekar, Vignesh Perumal, Genevieve Dion, Antonios Kontsos and David Breen
Computer aided geometric design, v 80, 101883
Jun 2020
url
https://doi.org/10.1016/j.cagd.2020.101883View
Accepted (AM)Open Access (Publisher-Specific) Open

Abstract

Knitted fabrics Yarn interpenetration Yarn level model Geometric modeling FEA simulation Catmull-Rom splines
•Yarn-level model for weft-knitted fabrics that can be used for FEA simulations.•Framed as an optimization problem to capture required features of geometric model.•Finding the minimum value of the function generates the desired geometric result.•Based on physical parameters such as yarn interpenetration, length and bending energy.•Method creates geometric models from arbitrary patterns of knit and purl stitches. Knitted fabrics are widely used in clothing because of their distinctive ability to be shaped and formed, which is fundamentally different from the behavior of woven cloth. Since stitches produce complex interactions between yarns, the macroscopic behavior of knitted fabrics depends more on their loop structure and stitch patterns than on the physical properties of the yarn. In order to explore the unique mechanical properties of knitted textiles we have developed a yarn-level model for weft-knitted fabrics that can be used in Finite Element Analysis (FEA) simulations. Producing geometric models of yarns in a knitted material is framed as an optimization problem. In this computing context, a single “cost” function is defined that captures the various required features of the final geometric model. The function is specified in such a way that finding the variable values that results in a minimum function evaluation produces the desired geometric result. The centerlines of the fabric's yarns are defined as Catmull-Rom splines, and the cost function is minimized by adjusting the locations of the spline's control points. The optimization is based on physical parameters such as yarn interpenetration, length of the yarn and bending energy. The optimized models are written to a file which can be directly read by an FEA software. The results show that our approach can create yarn-level models of weft-knitted fabrics consisting of an arbitrary pattern of knit and purl stitches, with a range of sizes, that are suitable for FEA simulations.

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Web of Science research areas
Computer Science, Software Engineering
Mathematics, Applied
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