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

Author:

Maheswaran R1,Srinivasan V2

Affiliation:

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

2. Department of Textile Technology , P.A.C. Ramasamy Raja Polytechnic College , Rajapalayam - 626108 , Tamil Nadu, India , Tel:0091-9443455876,

Abstract

Abstract 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.

Publisher

Walter de Gruyter GmbH

Subject

General Materials Science

Reference21 articles.

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2. [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. [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. [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. [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.

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