3D microstructure reconstruction of nonwoven fabrics based on depth from focus

He, Yan; Deng, Na; Xin, Binjie; Liu, Lulu

doi:10.1016/j.micron.2021.103035

Cited by 14 publications

(6 citation statements)

References 22 publications

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“…30,31 The conductive llers would be self-assembled at the porous platforms due to the synergistic effect of the BF process and the Pickering emulsion effect, leading to high electrical conductivity. 32,33 The conductive porous microstructured ber (F@CPMs) was successfully obtained aer thermal drying in an oven. Aerwards, the NiCo-LDH active materials of the positive electrode grew along both the ber surface and the curved surface inside the pores via the hydrothermal method.…”

Section: Resultsmentioning

confidence: 99%

A hierarchical layered double hydroxide electrode with surface porous microstructured fibers for flexible and wearable energy storage

Huang,

Xu,

et al. 2024

J. Mater. Chem. A

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Section: Resultsmentioning

confidence: 99%

A hierarchical layered double hydroxide electrode with surface porous microstructured fibers for flexible and wearable energy storage

Huang,

Xu,

et al. 2024

J. Mater. Chem. A

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“…The method of using a sphere to scroll along the fiber skeleton to obtain the point cloud of a fiber surface results in a large volume of data and point cloud redundancy. 25 Therefore, making the annulus point cloud perpendicular to the x-y plane is more conducive to reconstruction, speeds up the operation, and achieves better results when encapsulating the surface. The tests show that the fibers are separated accurately based on the preprocessing algorithm described above and the most important result is that the continuous depth information is well displayed.…”

Section: Resultsmentioning

confidence: 99%

An improved algorithm for three-dimensional reconstruction of nonwoven microstructures by using multi-focus images

Zhang

et al. 2022

Textile Research Journal

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The filtration performance of nonwovens, such as virus protection and air purification, depends largely on their microstructure, that is, their internal structure. With the development of manufacturing techniques, nonwovens can be produced with complex microstructures to deliver low air resistance and high filtration efficiency. Therefore, it seems important to reconstruct an accurate three-dimensional (3D) model to describe the various microstructures for performance evaluation and product development. Multi-focus image fusion is one of the most effective ways used for the 3D nonwoven reconstruction. However, the overlapping and crossing of fibers in multi-focus images taken on an optional microscope make 3D fiber reconstruction incomplete and discontinuous. In this study, we developed a novel fiber segmentation and 3D nonwoven reconstruction algorithm to restore fiber continuity. The fiber web image was firstly thinned into the fiber mid-axis or skeleton, and fiber fragments were detected by searching the intersections. The features, such as the angle and depth, of each fiber fragment were obtained using Harris corner detection. A cluster technique was used to group the head-points of the fiber fragments that have similar features into one cluster. All fiber fragments in the same cluster are fitted with a polynomial curve to form a complete fiber in the 3D space. The experimental results show that this new method is suitable for the reconstruction of nonwovens with complex structures, such as fiber bonding or crossing, and can automatically detect and connect fiber fragments in 3D space. It provides an effective way for the subsequent simulation/evaluation of filtration characteristics.

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“…2(a), it presents great difficulty for constructing an accurate geometric model. [48][49][50] In this work, the spatial layering growth approach was applied to establish the geometric model for the polishing pad by script, 51 with the detailed modeling steps illustrated in Fig. 3(a) while the established model is shown in Fig.…”

Section: Large-sized Random Fiber Polishing Pad Modelmentioning

confidence: 99%

Atomic surface achieved through a novel cross-scale model from macroscale to nanoscale

Zhao,

Zhang,

Deng

et al. 2024

Nanoscale

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3D microstructure reconstruction of nonwoven fabrics based on depth from focus

Cited by 14 publications

References 22 publications

A hierarchical layered double hydroxide electrode with surface porous microstructured fibers for flexible and wearable energy storage

A hierarchical layered double hydroxide electrode with surface porous microstructured fibers for flexible and wearable energy storage

An improved algorithm for three-dimensional reconstruction of nonwoven microstructures by using multi-focus images

Atomic surface achieved through a novel cross-scale model from macroscale to nanoscale

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