Three-Dimensional Modeling of Spun-Bonded Nonwoven Meso-Structures

Ke, Zhenxia; Yu, Lingjie; Wang, Guanlin; Sun, Runjun; Zhu, Mengqiu; Dong, Hanrui; Xu, Ya‐Qiong; Ren, Mengyue; Fu, Sida; Zhi, Chao

doi:10.3390/polym15030600

Cited by 7 publications

(3 citation statements)

References 22 publications

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“…Wearing masks to filter droplets can help intercept viruses and serve as a crucial tool in preventing and controlling outbreaks. Therefore, there is an urgent need for energy-efficient particle cleaning technology to control PM pollution, which is crucial for human health and energy conservation [6,7]. The membrane is the central component of an air filter.…”

Section: Introductionmentioning

confidence: 99%

Fabrication of Poly(Lactic Acid)@TiO2 Electrospun Membrane Decorated with Metal–Organic Frameworks for Efficient Air Filtration and Bacteriostasis

Lin,

Shen,

Qian

et al. 2024

Polymers

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The development of high-performance filtration materials is essential for the effective removal of airborne particles, and metal–organic frameworks (MOFs) anchored to organic polymer matrices are considered to be one of the most promising porous adsorbents for air pollutants. Nowadays, most air filters are generally based on synthetic fiber polymers derived from petroleum residues and have limited functionality, so the use of MOFs in combination with nanofiber air filters has received a lot of attention. Here, a conjugated electrostatic spinning method is demonstrated for the one-step preparation of poly(lactic acid) (PLA) nanofibrous membranes with a bimodal diameter distribution and the anchoring of Zeolitic Imidazolate Framework-8 (ZIF-8) by the introduction of TiO2 and in situ generation to construct favorable multiscale fibers and rough structures. The prepared PLA/TZ maintained a good PM2.5 capture efficiency of 99.97%, a filtration efficiency of 96.43% for PM0.3, and a pressure drop of 96.0 Pa, with the highest quality factor being 0.08449 Pa−1. Additionally, ZIF-8 was uniformly generated on the surface of PLA and TiO2 nanofibers, obtaining a roughened structure and a larger specific surface area. An enhanced filtration retention effect and electrostatic interactions, as well as active free radicals, can be generated for the deep inactivation of bacteria. Compared with the unmodified membrane, PLA/TZ prepared antibacterial characteristics induced by photocatalysis and Zn2+ release, with excellent bactericidal effects against S. aureus and E. coli. Overall, this work may provide a promising approach for the development of efficient biomass-based filtration materials with antimicrobial properties.

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Section: Introductionmentioning

confidence: 99%

Fabrication of Poly(Lactic Acid)@TiO2 Electrospun Membrane Decorated with Metal–Organic Frameworks for Efficient Air Filtration and Bacteriostasis

Lin,

Shen,

Qian

et al. 2024

Polymers

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“…Existing microfiber manufacturing methods include direct spinning [ 1 , 2 ], conjugate spinning (islands-in-sea type [ 3 , 4 , 5 ], split type [ 6 , 7 , 8 ], and multi-layer type [ 9 , 10 ]), and random spinning (melt blowing [ 11 , 12 , 13 ], spun bonding [ 14 , 15 , 16 ], flash spinning [ 17 , 18 ], and electrospinning [ 19 , 20 , 21 ]). Among them, the islands-in-sea bicomponent spinning is a technique that can rapidly and efficiently prepare microfiber nonwovens, which has received widespread attention in the industry and has become the main approach for producing microfiber synthetic leather bases.…”

Section: Introductionmentioning

confidence: 99%

Asymmetrically Wettable, PET/PA6, Hollow, Segmented-Pie, Microfiber Nonwovens for a Synthetic Leather Base

Zhao,

Liu,

Wang

et al. 2024

Molecules

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PET/PA6, hollow, segmented-pie, microfiber nonwovens (PET/PA6 HSMNs) play an important role in a microfiber, synthetic leather base. Most of the current PET/PA6 HSMNs generally lack in hygiene performance. Moreover, there is an urgent need for the asymmetric wettability of PET/PA6 HSMNs to ensure the comfort of clothing. In this work, a novel, asymmetrically wettable, PET/PA6 HSMN with a gradient structure is proposed, which can regulate liquid adsorption and directional transport. An MOF-303 was successfully synthesized and loaded onto the PET/PA6 HSMN, which had been pre-treated with gradient hydrolysis under sulfuric acid. The droplet quickly permeated the modified PET/PA6 HSMN, and the droplet disappearance time decreased to 62.40 ms. The liquid strikethrough time of the modified PET/PA6 HSMN reached 5.16 s. The maximum adsorption capacity of the modified PET/PA6 HSMN was 68.161 mg/g, which was improved by 122.83%. In addition, the air permeability of the pre-treated PET/PA6 HSMN increased from 308.70 mm/s to 469.97 mm/s, with the sulfuric acid concentrations increasing from 0% to 20%, and the air permeability of the modified PET/PA6 HSMN decreased gradually from 247.37 mm/s to 161.50 mm/s. Furthermore, the tensile strength of the modified PET/PA6 HSMN treated with sulfuric acid and MOF-303 was also obviously enhanced compared with the PET/PA6 HSMN treated with pure sulfuric acid. This PET/PA6 HSMN, with asymmetric wettability, owing to its high hygiene performance and water transport capabilities, is promising and able to extend the application of a microfiber synthetic leather base for clothing.

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“…4 Therefore, image processing technology based on an optical microscope is among the most commonly utilized approaches for measuring morphological parameters, such as the fiber fineness, fiber orientation distribution and fiber arrangement structure, of nonwoven fabric. 5 Getting a clear image that contains all relevant objects in one area is the prerequisite for achieving high-precision optical measurements. 6 However, during the image acquisition process of nonwoven fabrics, partially focused images are often obtained instead of completely clear images, since the thickness of the nonwoven material exceeds the depth of field of the microscope.…”

mentioning

confidence: 99%

Spectral- and spatial-based multi-focus image fusion method towards multi-layer nonwovens

Zhu

Sun

et al. 2023

Textile Research Journal

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In the microscopic imaging scenario where the object thickness exceeds the depth of field of the microscope, multi-focus image fusion (MFF) is an effective method to generate an all-in-focus image. However, for nonwoven fabric for which the captured image number is up to 100 or more, the existing methods often underperform in areas near the fiber edges, owing to image ghosting and noise accumulation caused by the platform moving. To address the above problem, this paper presents a method designed to fuse multi-layer micro-images based on the combination of spectral and spatial features of the images. Firstly, the spectral domain-based map is generated by decomposition and reconstruction of the high-frequency and low-frequency components of the images, aimed at obtaining the edge information. Simultaneously, the spatial domain-based fuse map is built through sharpness measurement, referring to visual perception. Finally, the two methods are combined via an optimized weight to obtain an all-in-focus fused image. Four groups of real-world data consisting of 100 multi-focus nonwoven images are utilized to verify the superiority of this method. The experimental results demonstrate that the proposed method can obtain satisfactory performance in terms of both human visual evaluation and objective evaluation compared with the image fusion framework based on the convolutional neural network, MFF, region-based image fusion algorithm and convolutional neural network state-of-the-art fusion methods.

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Three-Dimensional Modeling of Spun-Bonded Nonwoven Meso-Structures

Cited by 7 publications

References 22 publications

Fabrication of Poly(Lactic Acid)@TiO2 Electrospun Membrane Decorated with Metal–Organic Frameworks for Efficient Air Filtration and Bacteriostasis

Fabrication of Poly(Lactic Acid)@TiO2 Electrospun Membrane Decorated with Metal–Organic Frameworks for Efficient Air Filtration and Bacteriostasis

Asymmetrically Wettable, PET/PA6, Hollow, Segmented-Pie, Microfiber Nonwovens for a Synthetic Leather Base

Spectral- and spatial-based multi-focus image fusion method towards multi-layer nonwovens

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