Fabric Attribute

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The Experts below are selected from a list of 15 Experts worldwide ranked by ideXlab platform

Jun Xu - One of the best experts on this subject based on the ideXlab platform.

  • A New Method for Measuring Fabric Drape with a Novel Parameter for Classifying Fabrics
    Fibers, 2019
    Co-Authors: Jun Xu
    Abstract:

    With huge varieties of Fabrics, the first challenge for any performance evaluation is to categorize the vast types of the products into fewer, more homogeneous and akin groups. Classification or sorting is arguably the first step of any scientific investigation, and comparison of product quality is meaningful only when conducted within a group of comparable products. A new criterion termed Fabric linear density λ is first proposed in this paper so that Fabrics can in general be divided into four groups. The derivation and validation of this parameter are provided. The importance of Fabric drape is almost self-evident, but there are still no effective ways to easily measure this Fabric Attribute. A few existing instruments, notably the Cusick Drapemeter, suffer from low repeatability and low sensitivity and are hence not widely or frequently used. It is demonstrated in this study that, by using the PhabrOmeter, along with the Fabric linear density λ, a much more efficient alternative for Fabric drape test can be achieved. By actually testing 40 various Fabrics, the principle, procedure and results of this method is presented in this paper.

  • A New Method for Measuring Fabric Drape with a Novel Parameter for Classifying Fabrics
    2018
    Co-Authors: Jun Xu, Vikki Martin
    Abstract:

    With huge varieties of Fabrics, the first challenge for any performance evaluation is to categorize the vast types of the products into fewer, more homogeneous and thus akin groups. Classification or sorting is arguably the first step of any scientific investigation, and comparison of product quality is meaningful only when conducted within a group of comparable products. A new criterion termed Fabric linear density λ is first proposed in this paper so that Fabrics can in general be divided into 4 groups. The derivation and validation of this parameter are provided.  The importance of Fabric drape is almost self-evident, but there is still no effective ways to measure this Fabric Attribute. The Cusick Drapemeter suffers from its low repeatability and low sensitivity, and is hence not widely or frequently used. The PhabrOmeter, along with the Fabric linear density λ, is proposed and demonstrated in this study as a much more efficient alternative for Fabric drape test. By actually testing 40 various Fabrics, the principle, procedure and results of this method is presented in this paper.

Vikki Martin - One of the best experts on this subject based on the ideXlab platform.

  • A New Method for Measuring Fabric Drape with a Novel Parameter for Classifying Fabrics
    2018
    Co-Authors: Jun Xu, Vikki Martin
    Abstract:

    With huge varieties of Fabrics, the first challenge for any performance evaluation is to categorize the vast types of the products into fewer, more homogeneous and thus akin groups. Classification or sorting is arguably the first step of any scientific investigation, and comparison of product quality is meaningful only when conducted within a group of comparable products. A new criterion termed Fabric linear density λ is first proposed in this paper so that Fabrics can in general be divided into 4 groups. The derivation and validation of this parameter are provided.  The importance of Fabric drape is almost self-evident, but there is still no effective ways to measure this Fabric Attribute. The Cusick Drapemeter suffers from its low repeatability and low sensitivity, and is hence not widely or frequently used. The PhabrOmeter, along with the Fabric linear density λ, is proposed and demonstrated in this study as a much more efficient alternative for Fabric drape test. By actually testing 40 various Fabrics, the principle, procedure and results of this method is presented in this paper.

S. A. Agrawal - One of the best experts on this subject based on the ideXlab platform.

  • Node Parameters and Its Relation with Constructional and Bending Properties of PC Blended Fabric.
    2020
    Co-Authors: S. A. Agrawal
    Abstract:

    Drape is the most important aesthetic concept characteristics. Various methods have been employed to study this concept objectively. For many years textile researchers studied this Fabric Attribute in order to evaluate the drape quality, improve and design the drape ability of garments. In this present study the concept of drape parameters in terms of Node parameters have been studied using software made in Macromedia Flash Player thus removing the chances of human error. Here, this study also analyses the correlation between the Node parameters with constructional and bending properties of PC blended Fabric. Results obtained show that the drape properties of the Fabric can be connected to various Fabric structure parameters. The greatest correlation is obtained between Node parameters and GSM, thickness, Flexural rigidity, and good correlation with other parameters.

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

  • Tappan-Pelepai Woven Fabric, Social Status and Caring for Local Culture in a Multicultural Society at Lampung, Indonesia
    International Journal of Multicultural and Multireligious Understanding, 2019
    Co-Authors: Bartoven Vivit Nurdin, Damayanti Damayanti
    Abstract:

    This paper examines the tappan and pelepai woven Fabric, a kind of woven cloth that shows the social status and position of a person in an ethnic group, as well as the preservation of the woven Fabric in the Lampung Sanggi Unggak Museum which is now almost extinct. In fact, tappan woven Fabric is an important symbol of identity for indigenous people of Lampung. Its extraordinary beauty is almost unrecognizable.The research method used is ethnography, by conducting in-depth interviews and engaging observations. The results of the study show that the tappan cloth was not known by the people of Lampung in general.However, one of the pioneers of local cultural preservation in the village of Sanggi Unggak Tanggamus, built a museum that collects various kinds of traditional objects, one of which is tappan cloth. The effort to preserve local culture is a form of concern of traditional leaders for extinction of Lampung culture, one of which is tappan cloth. The symbolic meaning becomes shifted or even extinct. This shows that this Fabric Attribute is a culture that is easy to change as indicated by Linton (1977) that there is a culture that is easy to change because it is no longer considered effective and efficient.

Anjan Biswas - One of the best experts on this subject based on the ideXlab platform.

  • Empirical modelling of tensile strength of woven Fabrics
    Fibers and Polymers, 2008
    Co-Authors: Abhijit Majumdar, Anindya Ghosh, Shib Sankar Saha, Subir Barman, Dhrubajyoti Panigrahi, Anjan Biswas
    Abstract:

    Aesthetic properties of Fabrics have been considered as the most important Fabric Attribute for years. However, recently there has been a paradigm shift in the domain of textile material applications and consequently more emphasis is now being given on the mechanical and functional properties of Fabrics rather than its aesthetic appeal. Moreover, in certain woven Fabrics used for technical applications, strength is a decisive quality parameter. In this work, tensile strength of plain woven Fabrics has been predicted by using two empirical modelling methods namely artificial neural network (ANN) and linear regression. Warp yarn strength, warp yarn elongation, ends per inch (EPI), picks per inch (PPI) and weft count (Ne) were used as input parameters. Both the models were able to predict the Fabric strength with reasonably good precision although ANN model demonstrated higher prediction accuracy and generalization ability than the regression model. The warp yarn strength and EPI were found to be the two most significant factors influencing Fabric strength in warp direction.