Modelling Surface Roughness of 3/1 Twill Fabric Using Weft Yarn Count and Weft Thread Density

Wassie Mengie; Kura Alemayehu Beyene; Getaneh Alamir Eshetie

doi:10.14502/tekstilec.67.2023083

Authors

Wassie Mengie Ethiopian Institute of Textile and Fashion Technology, Bahir Dar University, Bahir Dar, P.O. Box 1037, Ethiopia Author https://orcid.org/0000-0001-6715-8839
Kura Alemayehu Beyene Ethiopian Institute of Textile and Fashion Technology, Bahir Dar University, Bahir Dar, P.O. Box 1037, Ethiopia Author https://orcid.org/0000-0002-2293-5048
Getaneh Alamir Eshetie Ethiopian Institute of Textile and Fashion Technology, Bahir Dar University, Bahir Dar, P.O. Box 1037, Ethiopia Author https://orcid.org/0009-0004-0363-7346

DOI:

https://doi.org/10.14502/tekstilec.67.2023083

Keywords:

surface roughness, 3/1 twill weave, weft yarn count, weft thread density, predictive model

Abstract

The surface roughness of fabric is one of the fabric properties that is used to evaluate the sensorial comfort of clothes. However, its objective evaluation requires sophisticated and expensive testing instruments and skilled testing expertise. Developing a predictive model is therefore an alternative approach to overcome such limitations. This study investigated a regression model to predict the surface roughness of 3/1 twill fabric using weft yarn count and weft thread density. Nine samples were produced by varying the weft yarn count and weft thread density at three different levels, while their surface roughness was determined using a Kawabata instrument (KES-FB4) under standard testing conditions. A two-factor predictive model equation was developed using design expert software. Based on the results and findings, the effects of count and density on the roughness of 3/1 twill fabric were found to be statistically significant for the developed model at a confidence interval of 95%. The model was tested by correlating the measured and predicted surface roughness values of 100% cotton 3/1 twill fabric. The results of the model test indicate a significant correlation (R² = 0.9644) between the measured and predicted surface roughness values of 3/1 twill fabric, with a 95% confidence interval.

Model validation was performed, and the study showed that the measured and predicted values of the surface roughness of 3/1 twill fabric have a 0.828 coefficient of determination (R²). This indicates that the surface roughness of 3/1 twill fabric can be predicted well by weft yarn count and weft thread density. This model can be thus used in textile industries and by research institutes for predicting the surface roughness of 3/1 twill fabrics in the new product development process.

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References

AKGÜL, E., KIZILKAYA AYDOĞAN, E., SINANOĞLU, C. Investigation of different denim fabrics with fabric touch tester and sensory evaluation. Journal of Natural Fibers, 2022, 19(13), 5551-5565, doi: 10.1080/15440478.2021.1881687. DOI: https://doi.org/10.1080/15440478.2021.1881687

SAVILLE, B. Physical testing of textiles. Cambridge : Woodhead Publishing, 1999. DOI: https://doi.org/10.1201/9781439822753

WANG, H., MAHAR, T.J., HALL, R. Prediction of the handle characteristics of lightweight next-to-skin knitted fabrics using a fabric extraction technique. The Journal of The Textile Institute, 2012, 103(7), 691–697, doi: 10.1080/00405000.2011.602230. DOI: https://doi.org/10.1080/00405000.2011.602230

ZOUHAIER, R., MOHAMED, H., AYDA, B., NAJEH, M., SADOK, R. Surface roughness evaluation of treated woven fabric by using a textile surface tester. Research Journal of Textile and Apparel, 2013, 17(2), 51–60, doi: 10.1108/RJTA-17-02-2013-B008. DOI: https://doi.org/10.1108/RJTA-17-02-2013-B008

CLASSEN, E. 3 - Comfort testing of textiles. In Advanced characterization and testing of textiles. Edited by Patricia Dolez, Olivier Vermeersch and Valério Izquierdo. Woodhead Publishing, 2018, 59–69, doi: 10.1016/B978-0-08-100453-1.00004-0. DOI: https://doi.org/10.1016/B978-0-08-100453-1.00004-0

WAN, T., STYLIOS, G.K. Effects of coating process on the surface roughness of coated fabrics. The Journal of The Textile Institute, 2017, 108(5), 712–719, doi: 10.1080/00405000.2016.1180951. DOI: https://doi.org/10.1080/00405000.2016.1180951

MATSUDAIRA, M. Fabric handle and its basic mechanical properties. Journal of Textile Engineering, 2006, 52(1), 1–8, doi: 10.4188/jte.52.1. DOI: https://doi.org/10.4188/jte.52.1

MILITKÝ, J.Í., MAZAL, M. Image analysis method of surface roughness evaluation. International Journal of Clothing Science and Technology, 2007, 19(3/4), 186–193, doi: 10.1108/09556220710741650. DOI: https://doi.org/10.1108/09556220710741650

VASSILIADIS, S.G., PROVATIDIS, C.G. Structural characterization of textile fabrics using surface roughness data. International Journal of Clothing Science and Technology, 2004, 16(5), 445–457, doi: 10.1108/09556220410554633. DOI: https://doi.org/10.1108/09556220410554633

PHOOPHAT, P., KUMPHAI, P., SUWONSICHON, S., BOONYARIT, J., PLANGMON, C., CHOLLAKUP, R. Application of Kawabata evaluation system for the tactile properties of woven silk fabrics in textile industry. IOP Conference Series: Materials Science and Engineering, 2020, 773(1), 1–6, doi: 10.1088/1757-899X/773/1/012035. DOI: https://doi.org/10.1088/1757-899X/773/1/012035

SISODIA, N., PARMAR, M., JAIN, S. Effect of pretreatment on the smoothness behaviour of cotton fabric. Fibres & Textiles in Eastern Europe, 2019, 5(137), 47–52. DOI: https://doi.org/10.5604/01.3001.0013.2901

TIAN, Y., SUN, Y., DU, Z., ZHENG, D., ZOU, H., LIU, Z, LIU, G., PAN, X. Tactile evaluation of down jacket fabric by the comprehensive handle evaluation system for fabrics and yarns. Textile Research Journal, 2020, 91(11–12), 1227–1238, doi: 10.1177/0040517520977207. DOI: https://doi.org/10.1177/0040517520977207

BEYENE, K.A., GEBEYEHU, E.K., ADAMU, B.F. The effects of pretreatment on the surface roughness of plain-woven fabric by the Kawabata Evaluation System. Textile Research Journal, 2022, 93(9-10), 2149–2157, doi: 10.1177/00405175221139322. DOI: https://doi.org/10.1177/00405175221139322

MAHAR, T.J., WANG, H., POSTLE, R. A review of fabric tactile properties and their subjective assessment for next-to-skin knitted fabrics. The Journal of The Textile Institute, 2013, 104(6), 572–589, doi: 10.1080/00405000.2013.774947. DOI: https://doi.org/10.1080/00405000.2013.774947

MATUSIAK, M., BAJZIK, V. Surface characteristics of seersucker woven fabrics. Autex Research Journal, 2021, 21(3), 284–292, doi: 10.2478/aut-2019-0079. DOI: https://doi.org/10.2478/aut-2019-0079

McGREGOR, B.A., NAEBE, M., WANG, H., TESTER, D., ROWE, J. Relationships between wearer assessment and the instrumental measurement of the handle and prickle of knitted wool fabrics. Textile Research Journal, 2014, 85(11), 1140–1152, doi: 10.1177/0040517514551460. DOI: https://doi.org/10.1177/0040517514551460

MOONEGHI, S.A., SAHARKHIZ, S., VARKIANI, S.M.H. Surface roughness evaluation of textile fabrics: a literature review. Journal of Engineered Fibers and Fabrics, 2014, 9(2), 1–18, doi: 10.1177/155892501400900201. DOI: https://doi.org/10.1177/155892501400900201

THAMIZHMANII, S., SAPARUDIN, S., HASAN, S. Analyses of surface roughness by turning process using Taguchi method. Journal of Achievements in Materials and Manufacturing Engineering, 2007, 20(1–2), 503–506.

JOSHI, K., PATIL, B. Prediction of surface roughness by machine vision using principal components based regression analysis. Procedia Computer Science, 2020, 167, 382–391, doi: 10.1016/j.procs.2020.03.242. DOI: https://doi.org/10.1016/j.procs.2020.03.242

TAIEB, A.H., MSHALI, S., SAKLI, F. Predicting fabric drapability property by using an artificial neural network. Journal of Engineered Fibers and Fabrics, 2018, 13(3), 1–7, doi: 10.1177/155892501801300310. DOI: https://doi.org/10.1177/155892501801300310

YU, Z., ZHONG, Y., GONG, R.H., XIE, H. Predicting the bending rigidity and shearing stiffness of fabric based on three-dimensional drape model. The Journal of The Textile Institute, 2022, 113(9), 1767–1774, doi: 10.1080/00405000.2021.1947638. DOI: https://doi.org/10.1080/00405000.2021.1947638

SARKAR, J., PROTTOY, Z.H., BARI, M.T., Al FARUQUE, M.A. Comparison of ANFIS and ANN modeling for predicting the water absorption behavior of polyurethane treated polyester fabric. Heliyon, 2021, 7(9), 1–9, doi: 10.1016/j.heliyon.2021.e08000. DOI: https://doi.org/10.1016/j.heliyon.2021.e08000

EZAZSHAHABI, N., LATIFI, M., MADANIPOUR, K. Modelling of surface roughness based on geometrical parameters of woven fabrics. Indian Journal of Fibre & Textile Research, 2017, 42, 43–50.

BEYENE, K.A., SAMPATH, V. Modeling surface roughness for prediction and evaluation of bed-sheet woven fabric. In International Conference Proceedings CTA – 2019, EiTEX, BDU, Ethiopia, 42–48.

SALMAN, M., IFTIKHAR, F., KHAN, M.Q., HUSSAIN, T., AHMED, N., FAZAL, M.Z., JAVED, Z.,NAEEM, M.S. Development and characterization of knitted fabrics for better sensorial comfort properties in sportswear by using grey rational analysis. Journal of Natural Fibers, 2022, 19(14), 8514–8528, doi: 10.1080/15440478.2021.1964138. DOI: https://doi.org/10.1080/15440478.2021.1964138

ATALIE, D., ROTICH, G.K. Impact of cotton parameters on sensorial comfort of woven fabrics. Research Journal of Textile and Apparel, 2020, 24(3), 281–302, doi: 10.1108/RJTA-01-2020-0004. DOI: https://doi.org/10.1108/RJTA-01-2020-0004

HOSSEINI RAVANDI, S.A., VALIZADEH, M. 2 - Properties of fibers and fabrics that contribute to human comfort. In Improving comfort in clothing. Edited by Guowen Song. Woodhead Publishing, 2011, 61–78, doi: 10.1533/9780857090645.1.61. DOI: https://doi.org/10.1533/9780857090645.1.61

BEYENE, K.A., KUMELACHEW, D.M. An investigation of the effects of weave types on surface roughness of woven fabric. Textile Research Journal, 2021, 92(13–14), 2276–2284, doi: 10.1177/00405175211010683. DOI: https://doi.org/10.1177/00405175211010683

KAMALHA, E., ZENG, Y., MWASIAGI, J.I., KYATUHEIRE, S. The comfort dimension; a review of perception in clothing. Journal of Sensory Studies, 2013, 28(6), 423–444, doi: 10.1111/joss.12070. DOI: https://doi.org/10.1111/joss.12070

BECERIR, B., AKGUN, M., ALPAY, H.R. Effect of some yarn properties on surface roughness and friction behavior of woven structures. Textile Research Journal, 2015, 86(9), 975–989, doi: 10.1177/0040517515606354. DOI: https://doi.org/10.1177/0040517515606354

AKGUN, M. Assessment of the effect of fabric constructional parameters on surface roughness of wool fabrics. The Journal of The Textile Institute, 2015, 106(8), 845–852, doi: 10.1080/00405000.2014.948730. DOI: https://doi.org/10.1080/00405000.2014.948730

KAWABATA, S., NIWA, M. Objective measurement of fabric mechanical property and quality. International Journal of Clothing Science and Technology, 1991, 3(1), 7–18, doi: 10.1108/eb002968. DOI: https://doi.org/10.1108/eb002968

ISO 2060. Textiles – yarn from packages – determination of linear density (mass per unit length) by the skein method. Geneva : International Organization for Standardization, 1994, 1–13.

ISO 7211-2. Textiles – woven fabrics – construction – methods of analysis. Part 2: determination of number of threads per unit length. Geneva : International Organization for Standardization, 1984, 1–6.