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  • SAGE Publications  (6)
  • 1
    Online Resource
    Online Resource
    SAGE Publications ; 2022
    In:  Textile Research Journal Vol. 92, No. 9-10 ( 2022-05), p. 1466-1483
    In: Textile Research Journal, SAGE Publications, Vol. 92, No. 9-10 ( 2022-05), p. 1466-1483
    Abstract: Vortex spinning technology adopts a high-speed swirling airflow to rotate the fibers with open-ends to form yarn with real twists. The airflow behavior within the nozzle has a great effect on the yarn-formation process. In this study, a three-dimensional calculation nozzle model and corresponding three-dimensional airflow region model were established to enable the numerical calculation; airflow behavior—pressure, velocity, and the turbulent airflow field, and the streamline of airflow—was investigated in the presence of fiber bundles within the vortex spinning nozzle. Hybrid hexahedral/tetrahedral control volumes were utilized to mesh the grids in the calculation region. To consider airflow diffusion and convection in the nozzle, the Realizable k- ε turbulence model with wall function was adopted to conduct the calculation. Dynamic and static pressure values were obtained by numerical analysis to predict the action of the inner surface of nozzle and the wall resistance on the high-speed swirling airflow. The numerical simulation of dynamic airflow behavior can generate great insight into the details of airflow behavior and its distribution characteristics, and is helpful for understanding the spinning mechanism and promoting optimization of the spinning process.
    Type of Medium: Online Resource
    ISSN: 0040-5175 , 1746-7748
    RVK:
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 2209596-2
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  • 2
    Online Resource
    Online Resource
    SAGE Publications ; 2023
    In:  Textile Research Journal Vol. 93, No. 13-14 ( 2023-07), p. 3171-3187
    In: Textile Research Journal, SAGE Publications, Vol. 93, No. 13-14 ( 2023-07), p. 3171-3187
    Abstract: The application of high speed air flow in the textile field represents the frontier development direction in this field. However, the coupling mechanism between air flow and fiber is extremely complicated which greatly limits the development and application of new textile technologies. For this reason, this research study is intended to focus on the common cutting-edge basic scientific problem of the air-flow-fiber coupling mechanism, the vortex spinning technology is taken as a breakthrough point for research. Three-dimensional numerical models of air flow in vortex spinning nozzle and a free-end fiber were established. The hybrid grids including the structured hexahedral grids and the unstructured tetrahedral grids were used to divide the air-flow computational region, the realizable κ- ε model was used to solve the turbulent characteristics of air flow, and the wall function method was used to solve the air flow in the near wall region. The displacement and deformation of a single free-end fiber under the action of the air-flow force was solved by the second-order nonlinear double asymptotic method and interpolation method. The dynamic twist process of a free-end fiber was simulated in three-dimensional space by taking into account the fiber characteristics, such as straightening, bending, and torsion. In addition, a high magnification microscope was used to observe the free-end fiber motion during the spinning process. The results show that the numerical simulation is consistent with the experimental observation, proving that dynamic numerical simulation can solve difficult problems in the unobserved dynamic twisting process, and this deepens the understanding of the spinning mechanism in vortex spinning.
    Type of Medium: Online Resource
    ISSN: 0040-5175 , 1746-7748
    RVK:
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2209596-2
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  • 3
    Online Resource
    Online Resource
    SAGE Publications ; 2019
    In:  Textile Research Journal Vol. 89, No. 16 ( 2019-08), p. 3401-3410
    In: Textile Research Journal, SAGE Publications, Vol. 89, No. 16 ( 2019-08), p. 3401-3410
    Abstract: Textile motion in a front-loading washer has been characterized via video capturing, and a processing system developed based on image geometric moment. Textile motion significantly contributes to the mass transfer of the wash solution in porous materials, particularly in the radial direction (perpendicular to the rotational axis of the inner drum). In this paper, the velocity profiles and residence time distributions of tracer textiles have been investigated to characterize the textile dynamics in a front-loading washer. The results show that the textile motion varies significantly with the water volume and rotational speed, and that the motion path follows certain patterns. Two regions are observed in the velocity plots: a passive region where the textile moves up with low velocity and an active region where the textile falls down with relatively high speed. A stagnant area in the residence time profile is observed. This corresponds to the passive region in the velocity profile. The stagnant area affects the mechanical action, thus influencing washing efficiency and textile performance. The findings on textile dynamics will help in the development of better front-loading washers.
    Type of Medium: Online Resource
    ISSN: 0040-5175 , 1746-7748
    RVK:
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2019
    detail.hit.zdb_id: 2209596-2
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  • 4
    Online Resource
    Online Resource
    SAGE Publications ; 2020
    In:  Journal of Engineered Fibers and Fabrics Vol. 15 ( 2020-01), p. 155892502092154-
    In: Journal of Engineered Fibers and Fabrics, SAGE Publications, Vol. 15 ( 2020-01), p. 155892502092154-
    Abstract: To fill the binary image of draped fabric into a comparable grayscale image with detailed shade information, the three-dimensional point cloud of draped fabric was obtained with a self-built three-dimensional scanning device. The three-dimensional point cloud of drape fabric is encapsulated into a triangular mesh, and the binary and grayscale images of draped fabric were rendered in virtual environments separately. A pix2pix convolutional neural network with the binary image of draped fabric as input and the grayscale image of draped fabric as output was constructed and trained. The relationship between the binary image and the grayscale image was established. The results show that the trained pix2pix neural network can fill unknown binary top view images of draped fabric to grayscale images. The average pixel cosine similarity between filling results and ground truth could reach 0.97.
    Type of Medium: Online Resource
    ISSN: 1558-9250 , 1558-9250
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2020
    detail.hit.zdb_id: 2393988-6
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  • 5
    Online Resource
    Online Resource
    SAGE Publications ; 2018
    In:  Textile Research Journal Vol. 88, No. 12 ( 2018-06), p. 1367-1376
    In: Textile Research Journal, SAGE Publications, Vol. 88, No. 12 ( 2018-06), p. 1367-1376
    Abstract: Easy care for clothing is increasingly important, but the major problem is still the severe wrinkles formed on garments after machine washing. In this research, orthogonal tests and the analysis of variance (ANOVA) at a 95% confidence level were used to determine the critical parameters that affect fabric smoothness. We developed a video capturing and processing system for dynamic measurements of fabric in a top-loading washer to find the relationship between fabric movement and wrinkling performance during laundering. The ANOVA results showed that the smoothness of woven cotton fabrics was mainly affected by the washing load and the drum rotating speed, with p values of 0.000 and 0.036, respectively. Additionally, a relation models for fabric movements suggested by a curvilinear regression analysis indicated that the main causes of fabric wrinkling during top-loading washing were liquor ratio and the centrifugal force imposed on the fabric. The smoothness grade increased with the decrease of washing load and drum rotating speed, since these settings led to lower liquor ratio with a constant water volume and less stress on the fabric. The results of this study provide valuable information for the optimization of washing programs for fabric smoothness.
    Type of Medium: Online Resource
    ISSN: 0040-5175 , 1746-7748
    RVK:
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2018
    detail.hit.zdb_id: 2209596-2
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  • 6
    Online Resource
    Online Resource
    SAGE Publications ; 2020
    In:  Textile Research Journal Vol. 90, No. 11-12 ( 2020-06), p. 1291-1300
    In: Textile Research Journal, SAGE Publications, Vol. 90, No. 11-12 ( 2020-06), p. 1291-1300
    Abstract: To evaluate the ability of woven fabrics to drape in a more accurate way, a three-dimensional point cloud of a draped woven fabric was captured via an in-house drape-scanner. A new indicator, total drape angle (TDA), was proposed based on the three-dimensional fabric drape to characterize the ability of a woven fabric to drape. The relationship between TDA and the drape coefficient (DC) was analyzed to validate the performance of TDA. The result indicated that TDA is more stable and representative than the traditional DC in characterizing the ability of a woven fabric to drape. In addition, the drape angle distribution function (DADF) of the triangular mesh was employed to describe fabric drape, as well as to bridge the gap between drape configuration and the warp bending rigidity of woven fabric. The results showed that the correlation coefficient between the real warp bending rigidity value and what was predicted warp based on DADF and fabric weight was 0.952.
    Type of Medium: Online Resource
    ISSN: 0040-5175 , 1746-7748
    RVK:
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2020
    detail.hit.zdb_id: 2209596-2
    Location Call Number Limitation Availability
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