EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 434 (2023) E3S Web Conf., 434 (2023) 03020 References
Open Access
Issue
E3S Web Conf.
Volume 434, 2023
4th International Conference on Energetics, Civil and Agricultural Engineering (ICECAE 2023)
Article Number 03020
Number of page(s) 11
Section Agricultural Engineering
DOI https://doi.org/10.1051/e3sconf/202343403020
Published online 12 October 2023
  1. O. Babaarslan, Md Abul Shahid, F. Dogan, Comparative analysis of cotton covered elastomeric hybrid yarns and denim fabric properties, Journal of Engineered Fibers and Fabrics 16 (2021) [Google Scholar]
  2. Q.J. Jumaniyazov, Yu.M. Polvonov, Designing technological processes of cotton spinning, TTESI, Tashkent (2007) [Google Scholar]
  3. S.L. Matismailov, Q. Jumaniyazov, Q.G'. Gafurov, A. Pirmatov, Preparation of raw materials for spinning, Tashkent (2015) [Google Scholar]
  4. Y. Liu, B. Todd Campbell, Ch. Delhom, V. Martin, Comparative Relationship of Fiber Strength and Yarn Tenacity in Four Cotton Cultivars, Journal of Materials Science Research 5, 46–53 (2015) [CrossRef] [Google Scholar]
  5. K. Sultanov, S. Ismoilova, Strength of the yarns at high velocities of their motion in technological processes of textile production, AIP Conference Proceedings 2637, 030020 (2022) [CrossRef] [Google Scholar]
  6. Yu.M. Pavlov, Theory of process technology and equipment for the use of cotton and other chemical fibers, IGTA, Ivanovo (2000) [Google Scholar]
  7. D. Kazakova, I. Abbazov, S. Gafurova, K. Baratova, Kh. Аripov, I. Allenova, A research on productivity of newly created cotton varieties and evaluation of cotton fiber quality indicators, E3S Web of Conferences 377, 03014 (2023) [Google Scholar]
  8. M. Ismatova, M. Yuldasheva, Mathematical processing of the influence of cotton storage conditions on yarn quality indicators, IOP Conf. Ser.: Earth Environ. Sci. 1142, 012071 (2023) [CrossRef] [Google Scholar]
  9. S.V. Khiste, V. Ranganath, A.S. Nichani, Evaluation of tensile strength of surgical synthetic absorbable suture materials: an in vitro study, Journal of Periodontal & Implant Science 43(3), 130–135 (2013) [CrossRef] [PubMed] [Google Scholar]
  10. D.E. Kazakova, Changes in the indicators of produced yarns depending on the blend composition, Ekonomikaisotsium 94, 666–670 (2022) [Google Scholar]
  11. J.I. Mwasiagi, X.B. Huang, X.H. Wang, Performance of neural network algorithms during the prediction of yarn breaking elongation, Fibers and Polymers 9, 80–86 (2008) [CrossRef] [Google Scholar]
  12. D.E. Kazakova, S. Tojimuradov, Yu. Mutalova, Influence of the composition of the mixture on the indicators of yarn quality, Ekonomikaisotsium 3, 106 (2023) [Google Scholar]
  13. D. Kazakova, K. Baratova, Yu. Mutalova, Analysis of the qualitative indicators of spinning yarns from different grades of cotton, Khorezm science 1, 43–50 (2023) [Google Scholar]
  14. K. Djumaniyazov, D. Kazakova, Effect of different mixture composition on iop road and number of neps, International Journal of Research 7, 1011–1017 (2020) [Google Scholar]
  15. N. Bakhsh, M.Q. Khan, A. Ahmad, T. Hassan, Recent Advancements in Cotton Spinning, Springer Nature, Singapore (2020) [Google Scholar]
  16. Q.J. Jumaniyazov, D.E. Kazakova, Z.F. Valieva, Comprehensive assessment of the quality indicators of yarns obtained from different mixtures, Composite Materials 3, 88–89 (2019) [Google Scholar]
  17. Q.J. Jumaniyazov, D.E. Kazakova, Statistical processing of research results, NamMTI Scientific and Technical Journal 2 (2020) [Google Scholar]
  18. D.E. Kazakova, N. Samieva, The effect of cotton fiber micronaire indicator on yarn univennes, Spectrim Journal of Innovation, Reforms and Development 4, 601–604 (2022) [Google Scholar]
  19. D.E. Kazakova, M.M. Ismatova, I. Asatova, The influence of the number of neps in different mixtures on the quality of spun yarn, International Conference on Developments in Education 83–85 (2022) [Google Scholar]
  20. S. Novruzov, A. Djuraev, I. Abbazov, N. Toshpulatov, K. Aripov, Friction force determination between the inclined piles of the cotton gin drum from small impurities and seed of the fiber, E3S Web of Conferences 377, 03015 (2023) [CrossRef] [EDP Sciences] [Google Scholar]
  21. I. Abbazov, A. Usmankulov, B. Sharopov, Investigation of local resistance and air velocity in narrowing pipes for the transport of fibrous materials, IOP Conference Series: Earth and Environmental Science 1142(1), 012093 (2023) [CrossRef] [Google Scholar]
  22. I. Abbazov, M. Khodjiev, A. Salimov, F. Egamberdiyev, Investigation of air velocity in expanding and contracting pipes for the transport of fibrous materials, IOP Conference Series: Earth and Environmental Science 1142(1), 012101 (2023) [CrossRef] [Google Scholar]
  23. A. Usmankulov, A. Salomov, I. Abbazov, F. Egamberdiev, Creation of improved UXK equipment for cleaning cotton from large impurities, IOP Conference Series: Earth and Environmental Science 1142(1), 012080 (2023) [CrossRef] [Google Scholar]
  24. F. Egamberdiev, K. Jumaniyazov, I. Abbazov, H. Yodgorova, Theoretical study of the effect of improving cleaning efficiency and fiber quality from a double-drum fiber cleaner, IOP Conference Series: Earth and Environmental Science 1142(1), 012088 (2023) [CrossRef] [Google Scholar]
  25. A.Z. Mamatov, A.K. Usmankulov, I.Z. Abbazov, U.A. Norboyev, E.T. Mukhametshina, Determination of Temperature of Components of Cotton-Raw Material in a Drum Dryer with a Constant, IOP Conference Series: Earth and Environmental Science 939(1), 012052 (2021) [CrossRef] [Google Scholar]
  26. Q. Jumaniyazov, M. Ismatova, I. Abbazov, D. Kazakova, Study on the influence of the cotton storage process on the quality indicators of fiber and yarn, IOP Conference Series: Earth and Environmental Science 939(1), 012053 (2021) [CrossRef] [Google Scholar]
  27. A. Ilkhom, D. Kadam, K. Dilafruz, Change of physical and mechanical indicators of yarn depending on the design of the sampling drum, Journal of Critical Reviews 7(3), 411–415 (2020) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.