International Virtual Permeability Benchmark 3D Image Dataset of the Fiber Tow Microscopic Sample
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https://zenodo.org/records/6611926
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This microscopic 3D sample representing a part of the fiber tow of the woven composite reinforcement was used in the first phase of the international Virtual permeability benchmark. Its results are reported in [1-3]. While the permeability had been investigated before for various porous media, this benchmark exercise was the first contribution in the field of real fibrous microstructures. The 3D image was extracted from a 3D X-ray microscope scan of a composite sample prepared at Leibniz-Institut für Verbundwerkstoffe GmbH (IVW, Kaiserslautern, Germany). The segmentation of the 3D image was performed at the Research Institute in Civil Engineering and Mechanics (GeM) of Ecole Centrale de Nantes (Nantes, France). The segmented binary volume image data (.raw file) has the following characteristics: dimensions of 1003 x 124 x 973 voxels; 0.5213 µm3 voxel size; 8-bit; little-endian byte order. The provided corresponding non-segmented volume image has the following characteristics: dimensions of 1003 x 124 x 973 voxels; 0.5213 µm3 voxel size; 16-bit; little-endian byte order. The microscopic volume contains about 400 fibers of a single tow and covers the entire tow through-thickness dimension. Its average fiber volume fraction is 56.5%, though it varies locally along the fiber direction. The structure of the tow represents 3 yarns twisted together. The tow originates from the glass twill-weave fabric HexForce 01102 by HEXCEL. [1] Elena Syerko, Tim Schmidt, David May, Christophe Binetruy, Suresh G. Advani et al. Benchmark Exercise on Image-Based Permeability Determination of Engineering Textiles: Microscale Predictions // Composites Part A: Applied Science and Manufacturing – 2023: 107397. [2] Elena Syerko, Christophe Binetruy, Tim Schmidt, David May. Micro-Scale Results from the Benchmark Exercise on the Image-Based Permeability Prediction of Composite Reinforcements // Proceedings of IBSim-4i – Image-Based Simulation for Industry 2022, London, UK – 2022. [3] David May, Elena Syerko, Tim Schmidt, Christophe Binetruy, Luisa Rocha da Silva, Stepan Lomov, Suresh Advani. Benchmarking Virtual Permeability Predictions of Real Fibrous Microstructure // Proceedings of the American Society for Composites – 36th Technical Conference, Texas, USA – 2021.
创建时间:
2023-06-28



