Estimation of Yarn-Level Simulation Models for Production Fabrics

Georg Sperl$^{1}$, Rosa M. Sánchez-Banderas$^{2}$, Manwen Li$^{3}$, Chris Wojtan$^{1}$, Miguel A. Otaduy$^{4}$.

  1. Institute of Science and Technology Austria, Austria
  2. SEDDI, Spain
  3. Under Armour, USA
  4. Universidad Rey Juan Carlos, Spain

Click here to download the dataset.

Dataset explorer

How to use

The following Jupyter notebook visualizes the dataset used to fit the simulation models described in the paper. Run the following cells to generate a summary of the data contained in the dataset.

Yarn types summary

The following table contains the properties of all yarns present in the fabrics of the data set: material, denier (i.e., mass density), and stretch stiffness.

Fabric types summary

The following table contains a detailed description of the composition of each fabric, applied finishes, as well as other measurements such as fabric density, thickness and size of the periodic repeat.

Per-fabric data

This section examines in detail the captured data per-fabric: stretch force, compression and bending per direction, high resolution photographs and the registered geometry.