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Ananjan Basu - One of the best experts on this subject based on the ideXlab platform.

  • analysis of the electromagnetic shielding behavior of stainless steel filament and pet ss hybrid yarn incorporated conductive woven Fabrics
    Fibers and Polymers, 2014
    Co-Authors: J Krishnasamy, R Alagirusamy, Ananjan Basu
    Abstract:

    An investigation was done on a stainless steel filament and stainless steel/polyester (SS/PET) fibres blended hybrid yarn incorporated conductive Fabric to study the significance of SS/PET blended hybrid yarn on electromagnetic shielding when woven with SS filaments. The variations of shielding effectiveness of woven Fabric with proportion of SS content, Fabric Density and weave structure were studied in detail. Electromagnetic shielding effectiveness (EMSE) of Fabrics was measured using vector network analyzer along with coaxial transmission holder in accordance with ASTM D4935. The experiment was conducted in the frequency range of 0.3 to 1.5 GHz for all the Fabrics. The experimental results showed that increase in Fabric Density increased the shielding effectiveness (SE) of Fabric. Analysis of structure of weave revealed that twill weave has higher shielding effectiveness than plain weave which confirms the yarn float length has positive influence on shielding efficiency of Fabrics. Compared to SS/PET blended hybrid yarn based Fabric, higher shielding was obtained for SS filament Fabric. In addition, the SE of Fabric woven with SS filament and SS/PET hybrid yarn was found to be higher than the Fabric with only SS filaments. ANOVA analysis was carried out to confirm the higher shielding effect of Fabric made from SS/PET blended hybrid yarn and SS filament compared with SS filament woven Fabric.

  • Analysis of the electromagnetic shielding behavior of stainless steel filament and PET/SS hybrid yarn incorporated conductive woven Fabrics
    Fibers and Polymers, 2014
    Co-Authors: Amit Das, J Krishnasamy, R Alagirusamy, Ananjan Basu
    Abstract:

    An investigation was done on a stainless steel filament and stainless steel/polyester (SS/PET) fibres blended hybrid yarn incorporated conductive Fabric to study the significance of SS/PET blended hybrid yarn on electromagnetic shielding when woven with SS filaments. The variations of shielding effectiveness of woven Fabric with proportion of SS content, Fabric Density and weave structure were studied in detail. Electromagnetic shielding effectiveness (EMSE) of Fabrics was measured using vector network analyzer along with coaxial transmission holder in accordance with ASTM D4935. The experiment was conducted in the frequency range of 0.3 to 1.5 GHz for all the Fabrics. The experimental results showed that increase in Fabric Density increased the shielding effectiveness (SE) of Fabric. Analysis of structure of weave revealed that twill weave has higher shielding effectiveness than plain weave which confirms the yarn float length has positive influence on shielding efficiency of Fabrics. Compared to SS/PET blended hybrid yarn based Fabric, higher shielding was obtained for SS filament Fabric. In addition, the SE of Fabric woven with SS filament and SS/PET hybrid yarn was found to be higher than the Fabric with only SS filaments. ANOVA analysis was carried out to confirm the higher shielding effect of Fabric made from SS/PET blended hybrid yarn and SS filament compared with SS filament woven Fabric.

Ruru Pan - One of the best experts on this subject based on the ideXlab platform.

  • Woven Fabric Density Measurement by Using Multi-Scale Convolutional Neural Networks
    IEEE Access, 2019
    Co-Authors: Shuo Meng, Ruru Pan, Weidong Gao, Zhou Jian, Jingan Wang
    Abstract:

    Fabric Density measurement plays a key role in the analysis of Fabric structural parameters. Existing automatic measurement methods lack varieties of adaptability and present poor performance in practical application. In order to solve these problems, we use convolutional neural networks (CNNs) to locate warps and wefts for woven Fabric Density measurement. First, we use a portable wireless device to capture high-resolution Fabric images and set up a new dataset with labeled yarns location. Based on this dataset, we propose an effective multi-scale convolutional neural network (MSnet) architecture to locate warps and wefts. Then, by using Hough transform and image projection of predicted yarns location, the Fabric Density is measured accurately. The experimental results emphasize that the proposed method has reached high accuracy under various kinds of patterns and densities of the Fabrics and is superior to the state-of-the-art methods in terms of its accuracy and robustness. Promisingly, the proposed method can provide novel ideas for more Fabric structural parameter analyses.

  • Automatic inspection of Density in yarn-dyed Fabrics by utilizing Fabric light transmittance and Fourier analysis.
    Applied optics, 2015
    Co-Authors: Jie Zhang, Ruru Pan, Weidong Gao
    Abstract:

    Yarn Density measurement is a significant part of yarn-dyed Fabric analysis, traditionally based on reflective image analysis. In this paper, utilizing Fabric light transmittance, a method for two-dimensional discrete Fourier transform (2D DFT) analysis on the transmission Fabric image is developed for Fabric Density inspection. First, the power spectrum is generated from the Fabric image by a 2D DFT. Next, the yarn skew angles are detected based on the power spectrum analysis. Then the Fabric image is reconstructed by an inverse 2D DFT. Finally, projection curves are generated from the reconstructed images and the number of yarns is counted according to the peaks and valleys to obtain the Fabric Density. Through a comparison between analysis on the reflective and transmission images of multiple-color Fabrics, it is proved that the latter method can segment the yarns with more satisfactory accuracy. Furthermore, the experimental and theoretical analyses demonstrate that the proposed method is effective for the Density inspection of yarn-dyed Fabrics with good robustness and great accuracy.

  • Automatic inspection of yarn-dyed Fabric Density by mathematical statistics of sub-images
    The Journal of The Textile Institute, 2014
    Co-Authors: Jie Zhang, Ruru Pan, Weidong Gao, Dandan Zhu
    Abstract:

    To inspect the yarn-dyed Fabric Density automatically, an effective image analysis method based on mathematical statistics of sub-images is proposed in this paper. This method consists of two main steps: rough measurement and precise measurement. The rough measurement is based on projection curve of the whole Fabric image. The Fabric image is converted into HSV model from RGB model firstly, and then the projection curve of value is gained directly. The number of yarns is obtained by counting the number of peaks in the curve roughly. The precise measurement is based on projection curves of the Fabric sub-images. According to the roughly estimated yarn number, the whole Fabric image is divided into a certain amount of sub-images and the projection method is applied to all the sub-images, respectively. The probability distribution map of peaks is obtained by processing the projection curves of all sub-images and the positions of the yarn center are located in the frequency curve generated from the map by mat...

  • Automatic inspection of double-system-mélange yarn-dyed Fabric Density with color-gradient image
    Fibers and Polymers, 2011
    Co-Authors: Ruru Pan, Weidong Gao, Jihong Liu, Hongbo Wang, Xinxin Qian
    Abstract:

    According to the color yarns in the Fabric, the yarn-dyed Fabrics are divided into two categories: single-systemmelange color Fabrics and double-system-melange color Fabrics. The method for inspecting the Density of double-systemmelange color Fabrics is discussed in this study. By analyzing the pattern and color characters of double-system-melange color Fabrics, color-gradient image is proposed to detect the Density. The gray-projection method and correlation coefficient method are selected to locate the wefts and warps. With the help of Fourier low-pass filter, the positions of yarns in double-system-melange color Fabric are found, and then the Density can be obtained by counting the yarns in a unit length automatically. The experiment proved that the method proposed can detect double-system-melange color Fabric Density successfully.

  • Automatic Inspection of Woven Fabric Density of Solid Colour Fabric Density by the Hough Transform
    Fibres & Textiles in Eastern Europe, 2010
    Co-Authors: Ruru Pan, Weidong Gao, Jihong Liu, Hongbo Wang
    Abstract:

    When analysing the colourcolours in woven Fabrics images, the Fabrics are suggested to be divided into three categories: solid colour Fabrics, single-system-melange colour Fabrics and double-system-melange colour Fabrics. Corresponding to the classification, the inspection of woven Fabric Density can be also divided into three stages. A method of inspecting the Density of solid colourcolour Fabrics is discussed in detail in this study. The Hough transform is used to detect the skew angles of warp and weft yarns, and then the pixels in the Fabric image are projected along the skew-direction. Warp and weft yarns can be segmented successfully by locating the true minimum values which indicate the interstices between the yarns. The Density of solid colourcolour Fabric can be inspected by counting the yarns in a unit length in the Fabric image.

Weidong Gao - One of the best experts on this subject based on the ideXlab platform.

  • Woven Fabric Density Measurement by Using Multi-Scale Convolutional Neural Networks
    IEEE Access, 2019
    Co-Authors: Shuo Meng, Ruru Pan, Weidong Gao, Zhou Jian, Jingan Wang
    Abstract:

    Fabric Density measurement plays a key role in the analysis of Fabric structural parameters. Existing automatic measurement methods lack varieties of adaptability and present poor performance in practical application. In order to solve these problems, we use convolutional neural networks (CNNs) to locate warps and wefts for woven Fabric Density measurement. First, we use a portable wireless device to capture high-resolution Fabric images and set up a new dataset with labeled yarns location. Based on this dataset, we propose an effective multi-scale convolutional neural network (MSnet) architecture to locate warps and wefts. Then, by using Hough transform and image projection of predicted yarns location, the Fabric Density is measured accurately. The experimental results emphasize that the proposed method has reached high accuracy under various kinds of patterns and densities of the Fabrics and is superior to the state-of-the-art methods in terms of its accuracy and robustness. Promisingly, the proposed method can provide novel ideas for more Fabric structural parameter analyses.

  • Automatic inspection of Density in yarn-dyed Fabrics by utilizing Fabric light transmittance and Fourier analysis.
    Applied optics, 2015
    Co-Authors: Jie Zhang, Ruru Pan, Weidong Gao
    Abstract:

    Yarn Density measurement is a significant part of yarn-dyed Fabric analysis, traditionally based on reflective image analysis. In this paper, utilizing Fabric light transmittance, a method for two-dimensional discrete Fourier transform (2D DFT) analysis on the transmission Fabric image is developed for Fabric Density inspection. First, the power spectrum is generated from the Fabric image by a 2D DFT. Next, the yarn skew angles are detected based on the power spectrum analysis. Then the Fabric image is reconstructed by an inverse 2D DFT. Finally, projection curves are generated from the reconstructed images and the number of yarns is counted according to the peaks and valleys to obtain the Fabric Density. Through a comparison between analysis on the reflective and transmission images of multiple-color Fabrics, it is proved that the latter method can segment the yarns with more satisfactory accuracy. Furthermore, the experimental and theoretical analyses demonstrate that the proposed method is effective for the Density inspection of yarn-dyed Fabrics with good robustness and great accuracy.

  • Automatic inspection of yarn-dyed Fabric Density by mathematical statistics of sub-images
    The Journal of The Textile Institute, 2014
    Co-Authors: Jie Zhang, Ruru Pan, Weidong Gao, Dandan Zhu
    Abstract:

    To inspect the yarn-dyed Fabric Density automatically, an effective image analysis method based on mathematical statistics of sub-images is proposed in this paper. This method consists of two main steps: rough measurement and precise measurement. The rough measurement is based on projection curve of the whole Fabric image. The Fabric image is converted into HSV model from RGB model firstly, and then the projection curve of value is gained directly. The number of yarns is obtained by counting the number of peaks in the curve roughly. The precise measurement is based on projection curves of the Fabric sub-images. According to the roughly estimated yarn number, the whole Fabric image is divided into a certain amount of sub-images and the projection method is applied to all the sub-images, respectively. The probability distribution map of peaks is obtained by processing the projection curves of all sub-images and the positions of the yarn center are located in the frequency curve generated from the map by mat...

  • Automatic inspection of double-system-mélange yarn-dyed Fabric Density with color-gradient image
    Fibers and Polymers, 2011
    Co-Authors: Ruru Pan, Weidong Gao, Jihong Liu, Hongbo Wang, Xinxin Qian
    Abstract:

    According to the color yarns in the Fabric, the yarn-dyed Fabrics are divided into two categories: single-systemmelange color Fabrics and double-system-melange color Fabrics. The method for inspecting the Density of double-systemmelange color Fabrics is discussed in this study. By analyzing the pattern and color characters of double-system-melange color Fabrics, color-gradient image is proposed to detect the Density. The gray-projection method and correlation coefficient method are selected to locate the wefts and warps. With the help of Fourier low-pass filter, the positions of yarns in double-system-melange color Fabric are found, and then the Density can be obtained by counting the yarns in a unit length automatically. The experiment proved that the method proposed can detect double-system-melange color Fabric Density successfully.

  • Automatic Inspection of Woven Fabric Density of Solid Colour Fabric Density by the Hough Transform
    Fibres & Textiles in Eastern Europe, 2010
    Co-Authors: Ruru Pan, Weidong Gao, Jihong Liu, Hongbo Wang
    Abstract:

    When analysing the colourcolours in woven Fabrics images, the Fabrics are suggested to be divided into three categories: solid colour Fabrics, single-system-melange colour Fabrics and double-system-melange colour Fabrics. Corresponding to the classification, the inspection of woven Fabric Density can be also divided into three stages. A method of inspecting the Density of solid colourcolour Fabrics is discussed in detail in this study. The Hough transform is used to detect the skew angles of warp and weft yarns, and then the pixels in the Fabric image are projected along the skew-direction. Warp and weft yarns can be segmented successfully by locating the true minimum values which indicate the interstices between the yarns. The Density of solid colourcolour Fabric can be inspected by counting the yarns in a unit length in the Fabric image.

Kadir Bilisik - One of the best experts on this subject based on the ideXlab platform.

  • Effect of Fabric Weave on Stick-Slip Properties of Woven Fabrics
    Autex Research Journal, 2014
    Co-Authors: Kadir Bilisik
    Abstract:

    Abstract The aim of this study was to understand the stick-slip properties of dry polyester plain, ribs and satin woven Fabric weaves. It was found that the amount of stick-slip force was related to the number of interlacement points in the Fabric, whereas the amount of accumulative retraction force was related to Fabric structural response. Stick-slip force and accumulative retraction force depend on Fabric weave, Fabric Density, the number of pulled ends in the Fabric and Fabric sample dimensions. The weft directional single and multiple yarn stick-slip and accumulative retraction forces of dry plain Fabrics in Fabric edge and centre regions were higher than those in the satin Fabric due to Fabric weave. In addition, the warp directional single and multiple yarn stick-slip and accumulative retraction forces in the meso-cell-1 to the meso-cell-6 of dry wide and long satin Fabric in Fabric edge were higher than those in the weft direction due to Fabric Density. Stick-slip and accumulative retraction forces of polyester Fabric in the multiple yarn pull-out test were higher than those of the single yarn pull-out test.

  • Determination of para-aramid single Fabric shear by yarn pull-out and analysis by statistical model
    Fibers and Polymers, 2013
    Co-Authors: Kadir Bilisik
    Abstract:

    The aim of this study was to determine the para-aramid Fabric shear by the pull-out method. The Fabric sample dimensions and the number of pull-out ends were identified as important parameters. Fabric shear depended on Fabric Density. Fabric shear strength increased when the number of pulled ends increased. When the Fabric length increased, Fabric shear strength generally increased. The number of pulled ends and the Fabric sample dimensions influenced the Fabric shear rigidity. Shear jamming angles were found based on the number of pulled ends. The results showed that para-aramid Fabric shear could be measured by yarn pull-out test.

  • shear characterization of para aramid twaron Fabric by yarn pull out method
    Textile Research Journal, 2012
    Co-Authors: Kadir Bilisik
    Abstract:

    The aim of this study was to determine the para-aramid Fabric shear by the pull-out method. For this purpose, Twaron® type Fabrics were used. The Fabric width/length ratio and the number of pull-out ends were identified as important testing parameters. It was found that Fabric shear depended on Fabric Density. Fabric shear strength increased when the number of pulled ends increased. When the Fabric width/length ratio decreased, Fabric shear strength increased. The number of pulled ends and the Fabric width/length ratios influenced the Fabric shear rigidity. Also, shear jamming angles were found to be based on the number of pulled ends. The results showed that para-aramid Fabric shear could be measured by the yarn pull-out test.

  • experimental determination of yarn pull out properties of para aramid kevlar woven Fabric
    Journal of Industrial Textiles, 2012
    Co-Authors: Kadir Bilisik
    Abstract:

    The aim of this study was to determine the pull-out properties of the para-aramid woven Fabrics. Para-aramid Kevlar 29® (K29) and Kevlar 129® (K129) woven Fabrics were used to conduct the pull-out tests. K29 and K129 woven Fabrics had high and low Fabric densities, respectively. For this reason, yarn pull-out fixture was developed to test various K29 and K129 Fabric sample dimensions. Data generated from single and multiple yarn pull-out tests in various dimensions of K29 and K129 woven Fabrics included Fabric pull-out forces, yarn crimp extensions in the Fabrics, and Fabric displacements. Yarn pull-out forces depended on Fabric Density, Fabric sample dimensions, and the number of pulled ends in the Fabric. Multiple yarn pull-out force was higher than single yarn pull-out force. Single- and multiple-yarn pull-out forces in K29 (tight Fabric) were higher than those of K129 (loose Fabric). Yarn crimp extension in K29 and K129 Fabrics depended on crimp ratio in the Fabrics and Fabric Density. High crimp rati...

  • Properties of yarn pull-out in para-aramid Fabric structure and analysis by statistical model
    Composites Part A: Applied Science and Manufacturing, 2011
    Co-Authors: Kadir Bilisik
    Abstract:

    The aim of this study is to analyze and determine the pull-out properties of para-aramid woven Fabrics. Para-aramid Kevlar29® and Kevlar129® woven Fabrics were used to conduct the pull-out tests. They have high and low Fabric densities. A yarn pull-out fixture was developed to test various Fabric sample dimensions. Data generated from single and multiple yarn pull-out tests in various dimensions of Kevlar29® and Kevlar129® woven Fabrics included Fabric pull-out forces, yarn crimp extensions in the Fabrics and Fabric displacements. The regression model showed that yarn pull-out forces depend on Fabric Density, Fabric sample dimensions and the number of pulled ends in the Fabric. Yarn crimp extensions depend on the crimp ratios of the Fabric and Fabric Density. Fabric displacements depend on Fabric sample dimensions and the number of pulled yarns.

J Krishnasamy - One of the best experts on this subject based on the ideXlab platform.

  • analysis of the electromagnetic shielding behavior of stainless steel filament and pet ss hybrid yarn incorporated conductive woven Fabrics
    Fibers and Polymers, 2014
    Co-Authors: J Krishnasamy, R Alagirusamy, Ananjan Basu
    Abstract:

    An investigation was done on a stainless steel filament and stainless steel/polyester (SS/PET) fibres blended hybrid yarn incorporated conductive Fabric to study the significance of SS/PET blended hybrid yarn on electromagnetic shielding when woven with SS filaments. The variations of shielding effectiveness of woven Fabric with proportion of SS content, Fabric Density and weave structure were studied in detail. Electromagnetic shielding effectiveness (EMSE) of Fabrics was measured using vector network analyzer along with coaxial transmission holder in accordance with ASTM D4935. The experiment was conducted in the frequency range of 0.3 to 1.5 GHz for all the Fabrics. The experimental results showed that increase in Fabric Density increased the shielding effectiveness (SE) of Fabric. Analysis of structure of weave revealed that twill weave has higher shielding effectiveness than plain weave which confirms the yarn float length has positive influence on shielding efficiency of Fabrics. Compared to SS/PET blended hybrid yarn based Fabric, higher shielding was obtained for SS filament Fabric. In addition, the SE of Fabric woven with SS filament and SS/PET hybrid yarn was found to be higher than the Fabric with only SS filaments. ANOVA analysis was carried out to confirm the higher shielding effect of Fabric made from SS/PET blended hybrid yarn and SS filament compared with SS filament woven Fabric.

  • Analysis of the electromagnetic shielding behavior of stainless steel filament and PET/SS hybrid yarn incorporated conductive woven Fabrics
    Fibers and Polymers, 2014
    Co-Authors: Amit Das, J Krishnasamy, R Alagirusamy, Ananjan Basu
    Abstract:

    An investigation was done on a stainless steel filament and stainless steel/polyester (SS/PET) fibres blended hybrid yarn incorporated conductive Fabric to study the significance of SS/PET blended hybrid yarn on electromagnetic shielding when woven with SS filaments. The variations of shielding effectiveness of woven Fabric with proportion of SS content, Fabric Density and weave structure were studied in detail. Electromagnetic shielding effectiveness (EMSE) of Fabrics was measured using vector network analyzer along with coaxial transmission holder in accordance with ASTM D4935. The experiment was conducted in the frequency range of 0.3 to 1.5 GHz for all the Fabrics. The experimental results showed that increase in Fabric Density increased the shielding effectiveness (SE) of Fabric. Analysis of structure of weave revealed that twill weave has higher shielding effectiveness than plain weave which confirms the yarn float length has positive influence on shielding efficiency of Fabrics. Compared to SS/PET blended hybrid yarn based Fabric, higher shielding was obtained for SS filament Fabric. In addition, the SE of Fabric woven with SS filament and SS/PET hybrid yarn was found to be higher than the Fabric with only SS filaments. ANOVA analysis was carried out to confirm the higher shielding effect of Fabric made from SS/PET blended hybrid yarn and SS filament compared with SS filament woven Fabric.