Modal–Cotton Fibre Blend Ratio and Ring Frame Parameter Optimisation Through the Taguchi Method

• Autorzy: Maheswaran R , Srinivasan V

Identyfikatory

DOI

10.1515/aut-2018-0036

• Języki publikacji: EN

Abstrakty

EN

The influence of Modal–cotton (MC) fibre blend ratio and ring frame machine parameters such as front top roller loading and break draft on the blended yarn properties has been studied. Compact MC blended yarn samples of 14.75 tex with three different MC fibre blend ratio has been produced in a LR 6 ring spinning frame fitted with Suessen Compact drafting system. A robust design optimisation to minimise the variations of the output yarn properties such as blended yarn tenacity, yarn unevenness and hairiness caused because of the variations in the material as well as machine setting parameters is achieved through the Taguchi parametric design approach. It is found that the maximum compact MC blended yarn tenacity is 23.76 g/tex, which is influenced very much by MC fibre blend ratio but meagrely by top roller loading and break draft. Similarly, the minimum 9.54 U% and 3.59 hairiness index are achieved with 100:0 and 70:30 MC fibre blend ratio, respectively, at 23-kg top roller loading. Statistical ANOVA analysis is performed on the results and optimum values are obtained within the 95% confidential level through confirmation experiments.

Słowa kluczowe

EN

break draft; blended yarn; modal–cotton fibre blend ratio; robust design; Taguchi method; top roller loading

PL

przędza mieszana; włókno modalno-bawełniane; projektowanie niezależne; metoda Taguchiego

• Wydawca: Lodz University of Technology, Faculty of Material Technologies and Textile Design
• Czasopismo: Autex Research Journal
• Rocznik: 2019
• Tom: Vol. 19, no. 1
• Strony: 86--96
• Opis fizyczny: Bibliogr. 21 poz.

Twórcy

autor

Maheswaran R

• Department of Mechanical Engineering, Mepco Schlenk Engineering College, Sivakasi-626005, Tamil Nadu, India

autor

Srinivasan V

• Department of Textile Technology, P.A.C. Ramasamy Raja Polytechnic College, Rajapalayam-626108, Tamil Nadu, India, Tel:[phone]

Bibliografia

• [1] Subramanian, N., Venkatachalam, A., Subramaniam, V (2007). Prediction and Optimization of Yarn Properties using Genetic Algorithm/Artificial Neural Network, Indian Journal of Fibre & Textile Research, 32, 409-413.
• [2] Sette,S, van Langenhove, L (2002). Optimising the fibre-to-yarn production process: Finding a blend of fibre qualities to create an optimal Price/quality yarn, AUTEX Research Journal, Vol. 19, No 1, March 2019, 2(2), 57-63.
• [3] Malik, S. A.; Tanwari, A., Syed, U., Qureshi, R. F.; & Mengal, N. (2012). Blended Yarn Analysis: Part I—Influence of Blend Ratio and Break Draft on Mass Variation, Hairiness, and Physical Properties of 15 Tex PES/CO Blended Ring Spun Yarn. Journal of Natural Fibers, 9(3), 197-206.
• [4] Samander Ali Malik, Assad Farooq, Thomas Gereke & Chokri Cherif (2016). Prediction of Blended Yarn Evenness and Tensile properties by using Artificial Neural Network and Multiple Linear Regression, AUTEX Research Journal, Vol. 19, No 1, March 2019, 16(2), 43-50.
• [5] Sekerden, F (2011). Investigation on the Unevenness, Tenacity and Elongation Properties of Bamboo/Cotton Blended Yarns, Fibres & Textiles in Eastern Europe,19(3), 26-29.
• [6] Bhattacharya, S., S., Ajmeri, J. R (2013). Investigation of Air Permeability of Cotton & Modal Knitted Fabrics, International Journal of Engineering Research and Development, 6(12), 01-06.
• [7] Gonca Balic Kilic, Ayse okur (2016). A Comparison of the Physical Properties of Cotton, Modal and Acrylic Yarns spun in Ring and OE-Rotor Spinning Systems, Industria Textila,67(2), 81-90.
• [8] Majumdar, A., Das, A., Alagirusamy, R., Kothari, V K (Ed) (2013). Process control in Textile Manufacturing, Wood head publishing (Cambridge),191.
• [9] Ishtiaque, S. M., Rengasamy, R. S., Ghosh, A. (2004). Optimization Of Ring Frame Process Parameters For Better Yam Quality And Production, Indian Journal of Fibre & Textile Research, 29(2), 190-195.
• [10] Ghane, M., Semnani, D., Saghafi, R. and Beigzadeh, H. (2008). Optimization of Top Roller Diameter of Ring Machine to Enhance Yarn Evenness by using Artificial Intelligence, Indian Journal of Fibre & Textile Research, 33(1), 365-370.
• [11] Khalilur Rahman Khan, Md., Ronobir Chandra Sarker, Mohammad Mahmudur Rahman Khan. (2014). Interactive Effect of Blend Proportion and Process Parameters on Ring Spun Yarn Properties and Fabric GSM Using Box and Behnken Experimental Design, International Journal of Engineering Research and Technology, 3(11), 1609-1613.
• [12] Arindam Basu,. Rajanna Gotipamul (2005). Effect of Some Ring Spinning and Winding Parameters on Extra Sensitive Yarn Imperfections, Indian Journal of Fibre & Textile Research, 30, 211-214.
• [13] Mohammad Hatamvand, Seyed Abbas Mirjalili, Saeid Fattahi, Tariq Bashir, Mikael Skrifvars (2017). Optimum Drafting Conditions of Polyester and Viscose Blend Yarns, AUTEX Research Journal, Vol. 19, No 1, March 2019, 17 (3), 213-218.
• [14] Khalilur Rahman Khan, Md., Mohammad Mobarak Hossain, Ronobir Chandra Sarker (2015). Statistical Analyses and Predicting the Properties of Cotton/Waste Blended Open-End Rotor Yarn using Taguchi OA Design, International Journal of Tex Science, 4(2), 27-35.
• [15] Taguchi, G., Chowdhury, S., Wu, Y. (2004). Taguchi’s Quality Engineering handbook, John Wiley & sons, Inc., New jersey, 501.
• [16] Akshay Kumar, Ishtiaque, S. M. and Salhotra, K. R. (2006). Study of effect of spinning process variables on the packing density of ring, rotor and air-jet yarns using the Taguchi method, AUTEX Research Journal, Vol. 19, No 1, March 2019, 6(3), 122-135.
• [17] Akshay Kumar, Ishtiaque, S. M. and Salhotra, K. R. (2006). Analysis of Spinning Process Using Taguchi Method Part IV: Effect of Spinning Process Variables on Tensile Properties of Ring, Rotor and Air-Jet Yarns, Journal of Text Institute, 97(5), 385-390.
• [18] Akshay Kumar, Ishtiaque, S. M. and Salhotra, K. R. (2006). Analysis of Spinning Process Using Taguchi Method Part V: Effect of Spinning Process Variables on Physical Properties of Ring, Rotor And Air-Jet Yarns, Journal of Text Institute, 97(6), 463-473.
• [19] Serin Mavruz, Tugrul Ogulata, R.(2010). Taguchi Approach for the Optimization of the Bursting Strength of Knitted Fabrics, Fibres & Textiles in Eastern Europe, 18(2), 78-83.
• [20] Tanveer Hussain, Farooq Ahmed Arain, Zulfiqar Ali Malik (2017). Use Of Taguchi Method And Grey Relational Analysis To Optimize Multiple Yarn Characteristics In Open-End Rotor Spinning, AUTEX Research Journal, Vol. 19, No 1, March 2019, 17(1), 67-72.
• [21] Anindya Ghosh, Prithwiraj Mal, Abhijit Majumdar, and Debamalya Banerjee (2017). An Investigation on Air and Thermal Transmission through Knitted Fabric Structures using the Taguchi Method, AUTEX Research Journal, Vol. 19, No 1, March 2019, 17(2), 152-163.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).