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BY-NC-ND 4.0 license Open Access Published by De Gruyter Open Access May 23, 2017

An Investigation On Air and Thermal Transmission Through Knitted Fabric Structures Using the Taguchi Method

  • Anindya Ghosh , Prithwiraj Mal EMAIL logo , Abhijit Majumdar and Debamalya Banerjee
From the journal Autex Research Journal

Abstract

Knitted fabrics have excellent comfort properties because of their typical porous structure. Different comfort properties of knitted fabrics such as air permeability, thermal absorptivity, and thermal conductivity depend on the properties of raw material and knitting parameters. In this paper, an investigation was done to observe the effect of yarn count, loop length, knitting speed, and yarn input tension in the presence of two uncontrollable noise factors on selected comfort properties of single jersey and 1×1 rib knitted fabrics using the Taguchi experimental design. The results show that yarn count and loop length have significant influence on the thermo-physiological comfort properties of knitted fabrics.

References

[1] Skenderi, Z., Cubric, I. S., Srdjak, M., (2009). Water Vapour Resistance of Knitted Fabrics under Different Environmental Conditions. Fibres & Textiles in Eastern Europe, 17, 72-75.Search in Google Scholar

[2] Kotb, N. A., Salman, A. A., Ghazy, H. M., Abu El-Anain, E. H., (2011). Quality of Summer Knitted Fabrics Produced from Microfiber / Cotton Yarns. Journal of Basic and Applied Scientific Research, 1(12), 3416-3423.Search in Google Scholar

[3] Ramachandran, T., Manomani, G., Vigneswaran, C., (2010). Thermal behavior of ring - and compact - spun yarn single jersey, rib and interlock knitted fabrics. Indian Journal of Fibre & Textile Research, 35, 250-257.Search in Google Scholar

[4] Oglakcioglu, N., Marmarali, A., (2007). Thermal Comfort Properties of Some Knitted Structure. Fibres & Textiles in Eastern Europe, 15, 94-96.Search in Google Scholar

[5] Chidambaram, P., Govind, R., Venkataraman, K. C., (2011). The Effect of Loop Length and Yarn Linear Density on the Thermal Properties of Bamboo Knitted Fabric. Autex Research Journal, 11(4), 102-105.Search in Google Scholar

[6] Ogulata, R. T., Mavruz, S., (2010). Investigation of Porosity and Air Permeability Values of Plain Knitted Fabrics. Fibres and Textiles in Eastern Europe, 18, 71-75.Search in Google Scholar

[7] Onofrei, E., Rocha, A. M., Catarino, A., (2011). The Influence of Knitted Fabrics’ Structure on the Thermal and Moisture Management Properties. Journal of Engineered Fibres and Fabrics, 6(4), 10-22.10.1177/155892501100600403Search in Google Scholar

[8] Ramakrishnan, G., Dhurai, B., Mukhopadhyay, S., (2009). An Investigation into the Properties of Knitted Fabrics made from Viscose Microfibres. Journal of Textile and Apparel, Technology and Management, 6(1), 1-9.Search in Google Scholar

[9] Mavruz, S., Ogulata, R. T., (2010). Optimization of air permeability of interlock knitted fabrics using different experimental design. Proceedings on 7th International Conference, TEXSCI, Liberec, Czech Republic.Search in Google Scholar

[10] Fayala, F., Alibi, H., Benltoufa, S., Jemni, A., (2008). Neural Network for Predicting Thermal Conductivity of Knit Materials. Journal of Engineered Fibres and Fabrics, 3(4), 53-59.10.1177/155892500800300407Search in Google Scholar

[11] Mitra, A., Majumdar, A., Majumdar, P. K., Banerjee, D., (2013). Predicting thermal resistance of cotton fabrics by artificial neural network model. Experimental Thermal and Fluid Science, 50, 172-177.10.1016/j.expthermflusci.2013.06.006Search in Google Scholar

[12] Luo, X., Hou, W., Li, Y., Wang, Z., (2007). A fuzzy neural network model for predicting clothing thermal comfort. Computers and Mathematics with Applications, 53, 1840-1846.10.1016/j.camwa.2006.10.035Search in Google Scholar

[13] Cubric, I. S., Skenderi, Z., Bogdanic, A. M., Andrassy, M., (2012). Experimental study of thermal resistance of knitted fabrics. Experimental Thermal and Fluid Science, 38, 223-228.10.1016/j.expthermflusci.2011.12.010Search in Google Scholar

[14] Dias, T., Delkumburewatte, G. B., (2008). Changing Porosity of Knitted Structures by Changing Tightness. Fibers and Polymers, 9, 76-79.10.1007/s12221-008-0012-6Search in Google Scholar

[15] Hes, L., (1987). Thermal properties of nonwovens. Proceedings of Congress Index 87, Geneva.Search in Google Scholar

[16] Pac, M. J., Bueno, M. A., Renner, M., (2001). Warm cool feeling relative to tribological properties of fabrics. Textile Research Journal, 71, 806-812.10.1177/004051750107100910Search in Google Scholar

[17] Park, C. K., Ha, J. Y., (2005). A process for Optimization Sewing Conditions to Minimize Seam Pucker Using the Taguchi Method. Textile Research Journal, 75(3), 245-252.10.1177/004051750507500310Search in Google Scholar

[18] Singh, S., Shan, H. S., Kumar, P., (2005). Quality and Reliability Engineering Handbook, John Wiley & Sons.Search in Google Scholar

[19] Zeydan, M., (2008). Modelling the woven fabric strength using artificial neural network and Taguchi methodologies. International Journal of Clothing Science and Technology, 20, 104-118.10.1108/09556220810850487Search in Google Scholar

[20] Ross, P. J., (1996). Taguchi Techniques for Quality Engineering, McGraw-Hill International Editions.Search in Google Scholar

[21] Taguchi, G., Chowdhury, S., Wu, Y., (2005). Taguchi’s Quality Engineering Handbook, John Wiley & Sons.10.1002/9780470258354Search in Google Scholar

[22] Majumdar, A., Mukhopadhyay, S., Yadav, R., (2010). Thermal properties of knitted fabrics made from cotton and regenerated bamboo cellulosic fibres. International Journal of Thermal Sciences, 49, 2042-2048. 10.1016/j.ijthermalsci.2010.05.017Search in Google Scholar

Published Online: 2017-5-23
Published in Print: 2017-6-27

© Autex Research Journal

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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