Abstract
This article correlates draw frame settings with quality characteristics of sliver and ring spun yarn using artificial neural networks. Considering the importance of draw frame as the last quality improvement machine in the spinning process, the quality influencing parameters of the draw frame were used as input for artificial neural networks. The neural networks were trained using a combination of Levenberg-Marquardt algorithm and Bayesian regularization for better generalization of the networks. Cross validation was performed for each trained network to test the performance of networks. The promising results achieved by this research work emphasize the ability of neural networks to predict the quality characteristics of sliver and yarn using the artificial neural networks. Therefore, draw frame parameters can be adjusted on the basis of required sliver and yarn quality. Furthermore, machines can be involved in the decision making process in spinning mills.
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References
C. Cherif, Habilitation, Rheinisch-Westfälische Technische Hochschule Aachen, Germany, 2001.
M. C. Ramesh, R. Rajamanickam, and S. Jayaraman, J. Text. Inst., 86, 459 (1995).
D. Veit, Ph.D. Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen Germany, 1999.
L. S. Admuthe and S. Apte, Text. Res. J., 80, 841 (2010).
C. C. Huang and K. T. Chang, Text. Res. J., 71, 987 (2001).
R. Beltran, L. Wang, and X. Wang, Text. Res. J., 74, 757 (2004).
A. Farooq and C. Cherif, Text. Res. J., 78, 502 (2008).
T. Mac, Ph.D. Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen Germany, 2007.
P. G. Ünal, C. Arikan, N. Özdil, and C. Taskin, Text. Res. J., 80, 1751 (2010).
Z. Khan, A. E. K. Lim, L. Wang, X. Wang, and R. Beltran, Text. Res. J., 79, 714 (2009).
C. M. Murrells, X. M. Tao, B. G. Xu, and K. P. S. Cheng, Text. Res. J., 79, 227 (2009).
M. Slah, H. T. Amine, and S. Faouzi, J. Text. Inst., 97, 17 (2006).
B. K. Behera and Y. Goyal, J. Ind. Text., 39, 45 (2009).
B. M. Wilamowski, S. Iplikci, O. Kaynak, and M. Ö. Efe, “Proc. of International Joint Conference on Neural Networks”, Vol. 2, p.1778, USA, 2001.
T. L. Fine, “Feedforward Neural Network Methodology”, Springer Verlag, New York, 1999.
D. J. C. Mackay, Neural Comp., 4, 415 (1992).
Internet FAQ Archive [homepage on the Internet]. Warren, S.: Advameg, Inc.; c 2004 [updated 2011 February 04; cited 2011 July 21]. Available from: http://www.faqs.org/faqs/ai-faq/neural-nets/.
F. D. Foresee and M. T. Hagan, “Proc. of the International Joint Conference on Neural Networks”, p.1930, 1997.
G. Zhang, M. Y. Hu, B. E. Patuwo, and D. C. Indro, Eur. J. Operat. Res., 116, 16 (1999).
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Farooq, A., Cherif, C. Development of prediction system using artificial neural networks for the optimization of spinning process. Fibers Polym 13, 253–257 (2012). https://doi.org/10.1007/s12221-012-0253-2
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DOI: https://doi.org/10.1007/s12221-012-0253-2