Estimation of yarn-level simulation models for production fabrics

Abstract

This paper introduces a methodology for inverse-modeling of yarn-level mechanics of cloth, based on the mechanical response of fabrics in the real world. We compiled a database from physical tests of several different knitted fabrics used in the textile industry. These data span different types of complex knit patterns, yarn compositions, and fabric finishes, and the results demonstrate diverse physical properties like stiffness, nonlinearity, and anisotropy. We then develop a system for approximating these mechanical responses with yarn-level cloth simulation. To do so, we introduce an efficient pipeline for converting between fabric-level data and yarn-level simulation, including a novel swatch-level approximation for speeding up computation, and some small-but-necessary extensions to yarn-level models used in computer graphics. The dataset used for this paper can be found at http://mslab.es/projects/YarnLevelFabrics.

How Will It Drape Like? Capturing Fabric Mechanics from Depth Images

“…See Figure 2 for a visualization of our capture setup and the accompanying video for an illustration of the process. We capture ten fabrics of diverse compositions and structures, for which we have ground truth mechanical parameters previously obtained with specific equipment and methods [SSBL * 22].…”

Simulation of printed-on-fabric assemblies

“…By contrast, Clyde et al [2017] rely on simpler standardized tests but their multi-stage optimization-based fitting procedure is rather involved. Closest to our work is that of Sperl et al [2022] who also consider an augmented anisotropic Saint-Venant-Kirchhoff material law for their intermediate thin shell model. However, their model leaves aside path-dependent behavior such as hysteresis that is important for our targeted application.…”

High‐Order Elasticity Interpolants for Microstructure Simulation

“…We produce training data in a controlled way, generating microstructure deformations that span planar uniaxial stretch deformations in all directions. These cover situations where there is a dominant direction of deformation, and were also the main focus of attention of several previous works [WOR11,SMGT18,SSBL*22]. The rotation‐invariant part of the deformation gradient can be defined as F = Rot(θ)diag(λ 1 ,λ 2 )Rot(θ) T , where λ 1 and λ 2 are principal stretches, and θ is the direction of stretch.…”

“…Accurately representing the elastic response of complex materials is an ongoing challenge across computer graphics and computational mechanics. This problem has application in fitting material models to physical tests of real‐world objects [BBO*09, WOR11, SSBL*22], developing mesoscale models for microscale materials [SBR*15], or designing simulation models with nonlinear response [XSZB15].…”