Estimation of Yarn-Level Simulation Models for Production Fabrics

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.

Automated summary

This paper introduces a methodology for inverse-modeling the yarn-level mechanics of cloth based on real-world fabric mechanical responses. The authors compiled a database of physical tests from different types of knitted fabrics used in the textile industry, demonstrating diverse physical properties. They then developed a system for approximating these mechanical responses with yarn-level cloth simulation and introduced an efficient pipeline for converting fabric-level data to yarn-level simulation.