Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

The effects of yarn and fabric structural parameters on surface friction of plain-woven fabrics

The effects of yarn and fabric structural parameters on surface friction of plain-woven fabrics Friction is considered to be one property of cloth that has considerable importance in the fields of both technological and subjective assessment for surface properties of textile fabrics. The purpose of this study is to investigate the affective aspects of yarn and fabric structural parameters on the behavior of surface friction of plain woven fabrics.Design/methodology/approachIn this study, nine varieties of half-bleached cotton plain-woven fabrics with three weft yarn count (tex) and three weft thread density (ppc) are produced and will be examined for their frictional characteristics. The surface frictional properties of plain-woven fabrics were measured by using Kawabata (KES-Fb4) testing instrument. The ANOVA analysis is used to determine how yarn (count) and fabric (density) structural parameters does influence the surface friction properties of the fabrics. Also, the interaction effects between the factors (count and density) on the response variable (surface friction) of plain-woven fabrics.FindingsThe findings of this study revealed that the effects of weft yarn count and pick-density have statistically significant on the frictional behavior of the fabric surface properties at a 95% confidence interval. Thus, weft yarn count has a positive correlation with both coefficient of friction (MIU) and mean deviation of coefficient of friction (MMD) on frictional behavior of the fabric surface properties. On the other hand, pick density has a negative correlation with both MIU and MMD on frictional behavior of the fabric surface properties. The weft count, pick density and their interactions (Count X Density) have multicollinearity in the experiment term because the variance inflation factor values were greater than one.Originality/valueThe findings of this study can be routinely used across the textile industries and laboratories to provide a fundamental understanding regarding the surface frictional properties of the woven fabric for different end applications concerning the yarn structural parameters and fabric structural parameters. And the relationship of count and density with surface friction of plain woven fabrics. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Research Journal of Textile and Apparel Emerald Publishing

The effects of yarn and fabric structural parameters on surface friction of plain-woven fabrics

Download PDF
12 pages

Loading next page...
 
/lp/emerald-publishing/the-effects-of-yarn-and-fabric-structural-parameters-on-surface-b1w50yYA4A
Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
1560-6074
DOI
10.1108/rjta-03-2021-0029
Publisher site
See Article on Publisher Site

Abstract

Friction is considered to be one property of cloth that has considerable importance in the fields of both technological and subjective assessment for surface properties of textile fabrics. The purpose of this study is to investigate the affective aspects of yarn and fabric structural parameters on the behavior of surface friction of plain woven fabrics.Design/methodology/approachIn this study, nine varieties of half-bleached cotton plain-woven fabrics with three weft yarn count (tex) and three weft thread density (ppc) are produced and will be examined for their frictional characteristics. The surface frictional properties of plain-woven fabrics were measured by using Kawabata (KES-Fb4) testing instrument. The ANOVA analysis is used to determine how yarn (count) and fabric (density) structural parameters does influence the surface friction properties of the fabrics. Also, the interaction effects between the factors (count and density) on the response variable (surface friction) of plain-woven fabrics.FindingsThe findings of this study revealed that the effects of weft yarn count and pick-density have statistically significant on the frictional behavior of the fabric surface properties at a 95% confidence interval. Thus, weft yarn count has a positive correlation with both coefficient of friction (MIU) and mean deviation of coefficient of friction (MMD) on frictional behavior of the fabric surface properties. On the other hand, pick density has a negative correlation with both MIU and MMD on frictional behavior of the fabric surface properties. The weft count, pick density and their interactions (Count X Density) have multicollinearity in the experiment term because the variance inflation factor values were greater than one.Originality/valueThe findings of this study can be routinely used across the textile industries and laboratories to provide a fundamental understanding regarding the surface frictional properties of the woven fabric for different end applications concerning the yarn structural parameters and fabric structural parameters. And the relationship of count and density with surface friction of plain woven fabrics.

Journal

Research Journal of Textile and Apparel – Emerald Publishing

Published: Nov 28, 2022

Keywords: Fabric; Natural fiber; Yarn; Woven fabric; Textile; Instrumental analysis; ANOVA; Fabric structure; Parameters; Plain weave; Surface friction; Surface properties; Yarn structure

References

  • Best-practice recommendations for defining, identifying, and handling outliers
    Aguinis, H.; Gottfredson, R.K.; Joo, H.
  • Impact of cotton parameters on sensorial comfort of woven fabrics
    Atalie, D.; Rotich, G.K.
  • Features and performance of some outlier detection methods
    Barbato, G.; Barini, E.; Genta, G.; Levi, R.
  • Effect of some yarn properties on surface roughness and friction behavior of woven structures
    Becerir, B.; Akgun, M.; Alpay, H.R.
  • Comfort and handle behaviour of linen-blended fabrics
    Behera, B.
  • Principles and procedures of exploratory data analysis
    Behrens, J.T.
  • An investigation of the effects of weave types on surface roughness of woven fabric
    Beyene, K.A.; Kumelachew, D.M.
  • Modeling surface roughness for prediction and evaluation of bed-sheet woven fabric
    Beyene, K.A.; Sampath, V.
  • Fabrics: sensory and mechanical properties
    Bishop, D.
  • The significance and use of the friction coefficient
    Blau, P.J.
  • Exploratory regression analysis: a tool for selecting models and determining predictor importance
    Braun, M.T.; Oswald, F.L.
  • Comfort testing of textiles
    Classen, E.
  • Model-dependent variance inflation factor cutoff values
    Craney, T.A.; Surles, J.G.
  • A study on frictional characteristics of woven fabrics
    Das, A.; Kothari, V.; Vandana, N.
  • Frictional characteristics of woven suiting and shirting fabrics
    Dasa, A.; Kothari, V.; Nagaraju, V.
  • Collinearity: a review of methods to deal with it and a simulation study evaluating their performance
    Dormann, C.F.; Elith, J.; Bacher, S.; Buchmann, C.; Carl, G.; Carré, G.; Marquéz, J.R.G.; Gruber, B.; Lafourcade, B.; Leitao, P.J.
  • Characterizing frictional properties of fabrics to surface
    Du, Z.; Yu, W.
  • Study of skin–fabric interactions of relevance to decubitus: friction and contact-pressure measurements
    Gerhardt, L.C.; Mattle, N.; Schrade, G.; Spencer, N.; Derler, S.
  • Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations
    Greenland, S.; Senn, S.J.; Rothman, K.J.; Carlin, J.B.; Poole, C.; Goodman, S.N.; Altman, D.G.
  • Design of experiments and data analysis
    Guo, H.; Mettas, A.
  • Experimental methods for analyzing friction in textiles
    Gupta, B.; Ajayi, J.; Kutsenko, M.
  • The experiential analysis of woven fabric for reproduction
    Islam, S.; Chowdhury, S.; Akter, S.
  • Sensory and instrumental techniques evaluating the effect of structure parameters on the tactile properties of knitted fabrics
    Jeguirim, S.E.G.; Dhouib, A.B.; Sahnoun, M.; Cheickrouhou, M.; Schacher, L.; Adolphe, D.
  • Objective measurement of fabric mechanical property and quality-its application to textile and apparel manufactures
    Kawabata, S.; Niwa, M.
  • Sensorial comfort of textile materials
    Kayseri, G.Ö.; Özdil, N.; Mengüç, G.S.
  • Objective evaluation of fabric hand: part I: relationships of fabric hand by the extraction method and related physical and surface properties
    Kim, J.O.; Slaten, B.L.
  • A review of fabric tactile properties and their subjective assessment for next-to-skin knitted fabrics
    Mahar, T.; Wang, H.; Postle, R.
  • Collinearity diagnostics of binary logistic regression model
    Midi, H.; Sarkar, S.K.; Rana, S.
  • Surface friction characteristics of woven fabrics with nonconventional fibers and their blends
    Moorthy, R.R.; Kandhavadivu, P.
  • Comfort properties of suiting fabrics
    Nayak, R.; Punj, S.; Chatterjee, K.; Behera, B.
  • The effects of yarn and fabric structural parameters on the seam slippage, abrasion and pilling properties of double woven upholstery fabrics
    Özdemir, H.; Yavuzkasap, D.
  • An empirical model for fabric hand: part ii: subjective assessment
    Raheel, M.; Liu, J.
  • Robust regression and outlier detection
    Rousseeuw, P.J.; Leroy, A.M.
  • Roughness and frictional properties of cotton and polyester woven fabrics
    Sülar, V.; Öner, E.; Okur, A.
  • Visualization of textile surface roughness based on silhouette image analysis
    Xin, B.; Hu, J.; Baciu, G.
  • Textiles and human skin, microclimate, cutaneous reactions: an overview
    Zhong, W.; Xing, M.M.; Pan, N.; Maibach, H.I.