An Artificial Neural Network-based Hairiness Prediction Model for Worsted Wool Yarns

Textile Research Journal

Volumn 79, Issue 8, 2009, Pages 714-720

  Khan, Zulfiqar ^a   Lim, Allan E K ^b   Wang, Lijing ^b   Wang, Xungai ^b   Beltran, Rafael ^c  

^a Textile Institute of Pakistan   (Pakistan)

^b DEAKIN UNIVERSITY   (Australia)

^c RMIT UNIVERSITY   (Australia)

Author keywords

Artifical Neural Network; Hairiness Prediction; Spinning; Top Specification; Worsted Wool Yarns

Indexed keywords

FORECASTING; METAL SPINNING; MULTILAYER NEURAL NETWORKS; PREDICTIVE ANALYTICS; SENSITIVITY ANALYSIS; SPINNING (FIBERS); TEXTILE INDUSTRY; WOOL;

ARTIFICAL NEURAL NETWORKS; AVERAGE FIBER LENGTHS; FIBER DIAMETERS; MULTI LAYER PERCEPTRON; MULTIVARIATE LINEAR REGRESSIONS; PREDICTION MODEL; PROCESSING PARAMETERS; WOOL YARNS;

YARN;

FIBER DIMENSIONS; MATHEMATICAL MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS; SENSITIVITY; SPECIFICATIONS; SPINNING; WOOL; YARN;

HAIRINESS; MATHEMATICAL MODEL; PREDICTION; SPINNING; WOOL YARN; WORSTED YARN;

EID: 65549123306     PISSN: 00405175     EISSN: None     Source Type: Journal    
DOI: 10.1177/0040517508094171     Document Type: Article

References (19)

1. Goswami, B.C., Martindale, J.G., and Scardino, F.L., “Textile Yarns: Technology, Structure, and Applications,” Wiley-Interscience, New York, USA (1977).
2. Kenins, P., Influence of Fiber Type and Moisture on Measured Fabric-to-skin Friction, Textile Res. J. 64(12), 722-728 (1994).
3. Namboodri, C.G., Foam Sizing of Cotton and Blend Yarns: Slashing Trial, Textile Res. J. 56(2), 87-92 (1986).
4. Naylor, G.R.S., Phillips, D.G., and Veitch, C.J., Fabric-evoked Prickle in Worsted Spun Single Jersey Fabrics - Part 3: Wear Trial Studies of Absolute Fabric Acceptability, Textile Res. J. 67(6), 413-416 (1997).
5. Peykamian, S., and Rust, J.P., Yarn Quality Indexing Using a Mechanical Stylus, Textile Res. J. 69(6), 394-400 (1999).
6. Plate, D.E.A., and Lappage, J., An Alternative Approach to Twofold Weaving Yarn - Part 1: Control of Surface Fibres, J. Textile Inst. 73(3), 99-106 (1982).
7. Slauson, S.D., Miller, B., and Rebenfeld, L., Physicochemical Properties of Sized Yarns, Textile Res. J. 54(10), 655-664 (1984).
8. Tanaka, K., On Fuzz of Spun Yarns, J. Textile Mach. Soc. Jpn. 12(4), 147-155 (1966).
9. Tanaka, K., Effect of the Structure of Spun Yarns and Fabrics on their Fuzz, J. Textile Mach. Soc. Jpn. 13(3), 81-89 (1967).
10. Vincent, J.J., and Robinson, D.M., The Sizing of Singles Worsted Warp Yarn, Textile Inst. Ind. 9, 181-184 (1971).
11. Boswell, H.R., and Townend, P.P., Some Factors Affecting the Hairiness of Worsted Yarns, J. Textile Inst. 48, T135-T142 (1957).
12. Hunter, L., The Hairiness of Wool Worsted Single Yarns, SAWTRI Tech. Rep. 350, 1-13 (1977).
13. Ukidve, A.V., Munshi, P.K., and Viswanathan, G., Studies on Spectrum Density Analysis of Yarn Hairiness Variation, Indian J. Fibre Textile Res. 20(6), 92-96 (1995).
14. Lamb, P.R., and Yang, S., Choosing the Right Top for Spinning, in “Proceedings of Top-tech '96 Conference at CSIRO,” Geelong, Australia, pp. 258-276 (1996).
15. Beltran, R., Wang, L., and Wang, X., Predicting Worsted Spinning Performance with an Artificial Neural Network Model, Textile Res. J. 74(9), 757-763 (2004).
16. Beltran, R., Wang, L., and Wang, X., Mill Specific Prediction of Worsted Yarn Performance, J. Textile Inst. 97(1), 11-16 (2006).
17. Haykin, S., “Neural Networks: a Comprehensive Foundation,” Prentice Hall Inc., New Jersey, USA (1994).
18. Rumelhart, D., Hinton, G., and Williams, R., Learning Representations by Backpropagation Errors, Nature 323, 533-536 (1986).
19. Barella, A., Yarn Hairiness, Textile Prog. 13(1), 1-61 (1983).