Open-End Yarn Properties Prediction Using HVI Fibre Properties and Process Parameters

• Autorzy: Ghanmi H. , Ghith A. , Benameur T.

Identyfikatory

DOI

10.1515/aut-2015-0026

• Języki publikacji: EN

Abstrakty

EN

This article provides three models to predict rotor spun yarn characteristics which are breaking strength, breaking elongation and unevenness. These models used noncorrelated raw material characteristics and some processing parameters. For this purpose, five different cotton blends were processed into rotor spun yarns having different metric numbers (Nm10, Nm15, Nm18, Nm22, Nm30 and Nm37). Each count was spun at different twist levels. Response surface method was used to estimate yarn quality characteristics and to study variable effects on these characteristics. In this study, predicting models are given by the analysis of response surface after many iterations in which nonsignificant terms are excluded for more accuracy and precision. It was shown that yarn count, twist and sliver properties had considerable effects on the open-end rotor spun yarn properties. This study can help industrial application since it allows a quality management-prediction based on input variables such as fibre characteristics and process parameters.

Słowa kluczowe

EN

HVI characteristics; open-end rotor yarn; process parameters; response surface method

PL

HVI; parametry procesu; metoda płaszczyzny odpowiedzi

• Wydawca: Lodz University of Technology, Faculty of Material Technologies and Textile Design
• Czasopismo: Autex Research Journal
• Rocznik: 2017
• Tom: Vol. 17, no. 1
• Strony: 6--11
• Opis fizyczny: Bibliogr. 10 poz.

Twórcy

autor

Ghanmi H.

• University of Monastir, National Engineering School, Laboratory of Mechanic Engineering LGM_MA05, 5019 Monastir, Tunisia
• University of Monastir, National Engineering School, Department of Textile Engineering, ENIM, 5019 Monastir, Tunisia

autor

Ghith A.

• University of Monastir, National Engineering School, Department of Textile Engineering, ENIM, 5019 Monastir, Tunisia
• University of Monastir, National Engineering School, Research Unit Automatic Image and Signal Processing, 5019 Monastir, Tunisia

autor

Benameur T.

• University of Monastir, National Engineering School, Laboratory of Mechanic Engineering LGM_MA05, 5019 Monastir, Tunisia

Bibliografia

• [1] Arain F A, Tanwari A, Hussain T & Z A Malik, (2012). Multiple Response Optimization of Rotor Yarn for Strength, Unevenness, Hairiness and Imperfections. Polymers and Fibers, vol13, N°1, 118-122.
• [2] Atkinson A.C. and Donev A.N., (1992). Optimum Experimental Designs, Oxford university press, Oxford, 132-189.
• [3] Erol R & Sagbas A, (2009). Multiple Response Optimization of Staple-Yarn Production Process of Hairiness, Strength and Cost. Fibers and Textiles in Eastern Europe, 17, 40-42.
• [4] Kuo C F J, Wei H J, Huang C C & Su T L, (2010). Processing Parameters Optimization of Multiple Quality Characteristics of Open-End Rotor Spinning Process for Bamboo Charcoal and CVC Blended Fibers. Fibers and Polymers, vol11, N°6, 891-898.
• [5] Lawrence C A & Finikopulos E, (1992). Factors Affecting changes in The Structure and Properties of Open-End Rotor Yarns. Indian Journal of Fiber & Textile Research, vol17 (4), 201-208.
• [6] Lord P R & Grady P L, (1976). The Twist Structure of Open-End yarns. Textile Research Journal, 46, 123-129.
• [7] Moghassem A, Fallahpour A & Shanbeh M, (2012). An Intelligent Model to Predict Breaking Strength of Rotor Spun Yarns Using Gene Expression Programming. Journal of Engineered Fibers and Fabrics, vol7, Issue2, 1-10.
• [8] Padamanabhan A R, (1989). A Comparative Study of the Properties of Cotton Yarns Spun on the DREF-3 and Ring and Rotor Spinning Systems. Journal of textile Institute, 80, 555-562.
• [9] Sami B A & Naima H, (2009). Prediction of the Behavior of Open-End and Ring Spun yarns. Journal of Applied Sciences 9(8), 1466-1473.
• [10] Sharma I C, Gupta N K, Agarwal B R & Pataik N R, (1987). Effect of twist factor and stitch length of open-end spun cotton yarn on properties of Rib Knitted fabrics. Textile research journal, 57, 73-81.

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).