Skip to main content
Log in

Regression Analysis of the Strength Characteristics of Filaments of Modern Aramid Fibers

  • Published:
Fibre Chemistry Aims and scope

Quantitative characteristics of the interrelation between the strength characteristics of filaments of the aramid fibers tvaron and taparan and a copolymer fiber are determined. The parameters of the linear regression model are determined. It is shown how a variation in one property may vary the other properties. For the copolymer para-aramid fiber and tvaron fiber, the work of disintegration of a filament does not have any effect on the ultimate strength. Examples are presented that illustrate how to use regression relationships to predict a variation of the strength characteristics once one of the basic technological characteristics, that of linear density, varies.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1.
Fig. 2.

Similar content being viewed by others

References

  1. S. M. Shebanov and I. K. Novikov, Sodruzhestvo (Russian-Chinese Science Journal), No. 2, Part 3, 60–63 (2016).

  2. S. M. Shebanov, I. K. Novikov, et al., Khim. Volokna, No. 4, 60–65 (2016).

  3. S. M. Shebanov, I. K. Novikov, et al., Mechanics Compos. Materials, No. 2, 1–4 (2017).

  4. Yu. G. Korabel’nikov, V. P. Tamuzh, et al., Mekh. Kompos. Materialov, No. 2, 195–200 (1984).

  5. Yu. G. Korabel’nikov, Information Level of Certain Methods Used in the Study of the Mechanisms of Disintegration of Structural Plastics [in Russian], Komp. Sputnik+, Moscow (2004), 397 pp.

    Google Scholar 

  6. P. E. Pikshe, V. P. Tamuzh, and M. Ya. Mikel’son, Mekh. Kompos. Materialov, No. 4, 725–728 (1981).

  7. S. M. Shebanov, V.G. Bova, and I. K. Novikov, Kompoz. Mir, No. 1, 66–69 (2016).

  8. A. N. Kobzar’, Applied Mathematical Statistics for Engineers and Scientific Researchers [in Russian], Fizmatgiz, Moscow (2006), 810 pp.

    Google Scholar 

  9. G. A. F. Seber, Linear Regression Analysis [Russian translation], Mir, Moscow (1980), 456 pp.; John Wiley & Sons, New York (1977).

  10. A. M. Dubrov, V. S. Mkhitaryan, and L. I. Troshin, Multidimensional Statistical Methods [in Russian], Financy i Statistika, Moscow (2003), 351 pp.

    Google Scholar 

  11. E. Furster and B. Runz, Methods of Correlation and Regression Analysis [in Russian], Financy i Statistika, Moscow (1982); 351 pp.; Verlag die Wirtschaft, Berlin (1979).

  12. V. N. Tumubalin, Probability Theory and Random Processes. Textbook [in Russian], Moscow University, Moscow (1992), 400 pp.

    Google Scholar 

  13. M. B. Lagutin, Descriptive Mathematical Statistics [in Russian], P-tsentr, Moscow (2003), Book 2, 282 pp.

Download references

Acknowledgements

The authors wish to express their appreciation to the firm of “Yantai Tayho Advanced Materials Co. Ltd.” at the fair, “Interpolitekh 2015”, Qiu Zhaoming, James Lee, and David Lin for providing information and samples for the present investigation.

The authors are also grateful to the managing director of OOO “Teydzhin Rus”, M. A. Frolov for providing information and samples for the investigation.

Author information

Authors and Affiliations

Authors

Additional information

Translated from Khimicheskie Volokna, 49, No. 4, pp. 28–35, July–August, 2017.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shebanov, S.M., Novikov, I.K., Gumargalieva, K.Z. et al. Regression Analysis of the Strength Characteristics of Filaments of Modern Aramid Fibers. Fibre Chem 49, 256–264 (2017). https://doi.org/10.1007/s10692-018-9879-1

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10692-018-9879-1

Keywords

Navigation