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Fibers and Polymers

, Volume 20, Issue 1, pp 199–209 | Cite as

Tactile Comfort Prediction of Functional Fabrics from Instrumental Data Using Intelligence Systems

  • Melkie Getnet TadesseEmail author
  • Yan Chen
  • Lichuan Wang
  • Vincent Nierstrasz
  • Carmen Loghin
Open Access
Article
  • 96 Downloads

Abstract

Subjective and objective evaluations of the handle of textile materials are very important to describe its tactile comfort for next-to-skin goods. In this paper, the applicability of artificial neural-network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) modeling approaches for the prediction of the psychological perceptions of functional fabrics from mechanical properties were investigated. Six distinct functional fabrics were evaluated using human subjects for their tactile score and total hand values (THV) using tactile and comfort-based fabric touch attributes. Then, the measurement of mechanical properties of the same set of samples using KES-FB was performed. The RMSE values for ANN and ANFIS predictions were 0.014 and 0.0122 and are extremely lower than the variations of the perception scores of 0.644 and 0.85 for ANN and ANFIS, respectively with fewer prediction errors. The observed results indicated that the predicted tactile score and THV are almost very close to the actual output obtained using the human judgment. Fabric objective measurement technology, therefore, provides reliable measurement approaches for functional fabric quality inspection, control, and design specification.

Keywords

ANFIS ANN Mechanical properties Total hand value Tactile comfort 

Notes

Funding note: Open access funding provided by University of Boras.

References

  1. 1.
    R. Nayak, L. Wang, and R. Padhye in “Electronic Textiles: Smart Fabrics and Wearable Technology”, 1st ed. (T. Dias Ed.), pp.239-256, Elsevier, Amsterdam, 2015.Google Scholar
  2. 2.
    J. Berzowska, Textile, 3, 58 (2005).CrossRefGoogle Scholar
  3. 3.
    T. Dias and A. Ratnayake in “Electronics Textiles:Smart Fabrics and Wearable Technology”, 1st ed. (T. Dias Ed.), pp.110–145, Elsevier, Amsterdam, 2015.Google Scholar
  4. 4.
    V. Bartels, “Hnadbook of Medical Textiles”, pp.18–50, Woodhead, Oxford, 2011.CrossRefGoogle Scholar
  5. 5.
    N. V. Bhat, D. T. Seshadri, M. M. Nate, and A. V. Gore, J. Appl. Polym. Sci., 102, 4690 (2006).CrossRefGoogle Scholar
  6. 6.
    M. G. Tadesse, C. Loghin, Y. Chen, L. Wang, D. Catalin, and V. Nierstrasz, Smart Mater. Struct., 26, 065016 (2017).CrossRefGoogle Scholar
  7. 7.
    M. G. Tadesse, D. Dumitrescu, C. Loghin, Y. Chen, L. Wang, and V. Nierstrasz, J. Electron. Mater., 47, 2082 (2018).CrossRefGoogle Scholar
  8. 8.
    V. T. Bartels in “Handbook of Medical Textiles” (V. T. Bartels Ed.), pp.221–247, Woodhead Publishing, Oxford, 2011.Google Scholar
  9. 9.
    H. Behery, “Effect of Mechanical Propeeties on Fabric Hand”, pp.81–105, Woodhead, Boca Raton, 2005.CrossRefGoogle Scholar
  10. 10.
    L. M. Sztandera, Proc. 8th WSEAS Int. Conf. Appl. Comput. Sci., 221 (2008).Google Scholar
  11. 11.
    S. Kawabata and M. Niwa, Int. J. Cloth. Sci. Tech., 3, 7 (1991).CrossRefGoogle Scholar
  12. 12.
    F. T. Peirce, J. Text. Inst. Trans., 21, T377 (1930).CrossRefGoogle Scholar
  13. 13.
    S.-W. Park, Y.-G. Hwang, B.-C. Kang, and S.-W. Yeo, Text. Res. J., 70, 675 (2000).CrossRefGoogle Scholar
  14. 14.
    X. Zeng and L. Koehl, Int. J. Intell. Syst., 18, 355 (2003).CrossRefGoogle Scholar
  15. 15.
    S. E.-G. Jeguirim, A. B. Dhouib, M. Sahnoun, M. Cheikhrouhou, L. Schacher, and D. Adolphe, J. Intell. Manuf., 22, 873 (2011).CrossRefGoogle Scholar
  16. 16.
    X. Luo, W. Hou, Y. Li, and Z. Wang, Comput. Math. Appl., 53, 1840 (2007).CrossRefGoogle Scholar
  17. 17.
    S. E.-G. Jeguirim, D. C. Adolphe, M. Sahnoun, A. B. Douib, L. M. Schacher, and M. Cheikhrouhou, J. Eng. Fiber. Fabr., 7, 88 (2012).Google Scholar
  18. 18.
    L. M. Sztandera Proc. 8th WSEAS Int. Conf. Appl. Comput. Sci., 217 (2008).Google Scholar
  19. 19.
    T. Melkie Getnet, R. Harpa, Y. Chen, L. Wang, V. Nierstrasz, and C. Loghin, J. Ind. Text., doi:10.1177/ 1528083718764906 (2018).Google Scholar
  20. 20.
    X. Zeng, D. Ruan, and L. Koehl, Math. Comput. Simul., 77, 443 (2008).CrossRefGoogle Scholar
  21. 21.
    S. E. G.G. Jeguirim, A. B. Dhouib, M. Sahnoun, M. Cheikhrouhou, N. Njeugna, L. Schacher, and D. Adolphe, J. Sens. Stud., 25, 201 (2010).CrossRefGoogle Scholar
  22. 22.
    F. Sun, C. Sun, C. Chen, Z. Du, and W. Yu, Text. Res. J., doi:10.1177/0040517517690624 (2018).Google Scholar
  23. 23.
    R. J. Schalkoff, “Artificial Neural Networks”, Vol. 1, pp.422–451, McGraw-Hill, New York, 1997.Google Scholar
  24. 24.
    K. L. Hsu, H. V. Gupta, and S. Sorooshian, Water Resour. Res., 31, 2517 (1995).CrossRefGoogle Scholar
  25. 25.
    W. Suparta and K. M. Alhasa in “Modeling of Tropospheric Delays Using ANFIS” (W. Suparta Ed.), pp.5–18, Springer, Cham, 2016.Google Scholar
  26. 26.
    N. Gupta, Network Complex. Syst., 3, 24 (2013).Google Scholar
  27. 27.
    W. Duch and N. Jankowski, Neural Comput. Survey, 2, 163 (1999).Google Scholar
  28. 28.
    T. Terano, K. Asai, and M. Sugeno, “Fuzzy Systems Theory and Its Applications”, Academic Press Professional Inc., San Diago, 1992.Google Scholar
  29. 29.
    J. S. Jang, IEEE Trans. Syst. Man. Cyb., 23, 665 (1993).CrossRefGoogle Scholar
  30. 30.
    T. Takagi and M. Sugeno in “Readings in Fuzzy Sets for Intelligent Systems” (D. Dubois Ed.), pp.387–403, Elsevier, New York, 1993.Google Scholar
  31. 31.
    W. Suparta and K. M. Alhasa, in: Space Sci. Comm. (IconSpace), IEEE Int. Conf. on, 2013.Google Scholar
  32. 32.
    R. A. Raj, M. D. Anand, K. L. D.D. Wins, and A. S. Varadarajan, Indian J. Sci. Technol., 9, 1 (2016).Google Scholar

Copyright information

© The Author(s), corrected publication 2019 2019

Open Access: This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  • Melkie Getnet Tadesse
    • 1
    • 2
    • 3
    Email author
  • Yan Chen
    • 3
  • Lichuan Wang
    • 3
  • Vincent Nierstrasz
    • 2
  • Carmen Loghin
    • 1
  1. 1.Faculty of TextilesLeather & Industrial ManagementIasiRomania
  2. 2.Textile Materials Technology, Department of Textile Technology, Faculty of Textiles, Engineering and BusinessUniversity of BoråsBoråsSweden
  3. 3.The College of Textile and Clothing EngineeringSoochow UniversitySuzhouChina

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