VISUALIZING SPUN YARN DEFORMATION: INSIGHTS FROM OPTICAL INSTRUMENTATION
Shokirjon Abdulazizov , Doctoral Student, Department Of Metrology, Standardization And Quality Management, Namangan Institute Of Engineering And Technology, Namangan, Uzbekistan Jamshid Yuldashev Qambaraliyevich , Dsc, Associate Professor, Department Of Technology Of Textile Industrial Products, Namangan Textile Industry Institute, Namangan, Uzbekistan Khusankhon Bobojanov Tokhirovich , Dsc, Associate Professor, Department Of Technology Of Textile Industrial Products, Namangan Textile Industry Institute, Namangan, Uzbekistan Akbarkhon Sidikov Khojiakhmadkhanovich , Associate Professor, Department Of Metrology, Standardization And Quality Management, Namangan Institute Of Engineering And Technology, Namangan, UzbekistanAbstract
This article presents a comprehensive analysis of key quality indicators for spun yarns, focusing on yarns with a linear density of T=20 (Ne=30) tex produced on both simple and compact ring spinning machines. Through the utilization of optical instrumentation, various parameters including relative breaking strength (Rkm), strength, elongation at break (E %), and hairiness (H %) were meticulously examined to evaluate yarn quality. The study delves into the assessment of yarn unevenness (CV %) as a crucial quality metric, aiming to provide insights into the deformation characteristics of spun yarns. By employing advanced optical techniques, such as high-resolution imaging and precise measurements, the deformation behaviour of yarns under different spinning conditions is elucidated. The findings shed light on the influence of spinning machine type on yarn quality parameters, revealing nuanced differences in strength, elongation, and hairiness between simple and compact spinning processes. Additionally, the analysis highlights the correlation between yarn deformation and overall yarn quality, emphasizing the significance of understanding deformation mechanisms in optimizing textile manufacturing processes. Through a rigorous examination of these quality indicators, this research contributes valuable insights into the intricate dynamics of spun yarn deformation and its implications for textile production. The utilization of optical instrumentation offers a novel approach to visualize and quantify yarn deformation, providing a deeper understanding of the factors influencing yarn quality and performance in industrial settings.
Keywords
Deformation, fibre, cotton yarn
References
Improvement of Yarn Quality by Placing an Additional Compacting Device Between the Stretching Rollers in A Ring Spinning Machine A Yusupov, H Bobojanov, S Yusupov, M Yo'ldoshev - Eurasian Journal of Engineering and Technology, 2022.
Evaluation of the relationship between the deformation properties of spun yarn and the properties of the fabric J Soloxiddinov, H Bobojabov, A Yusupov, S Alixonov… - AIP Conference Proceedings, 2023. https://doi.org/10.1063/5.0145421
Yusupov Alijon Abdujabbor o’g’li, Yo’ldoshev Muxriddin To’xtamurod o’g’li, Jurayeva Muslima Mahmudjon qizi, & Mirzayeva Ravshanoy Mirzarahmat qizi. (2022). Improving the quality of yarns by installing an additional compactor on the spinning machine. E Conference Zone, 280–282. Retrieved from https://www.econferencezone.org/index.php/ecz/article/view/723
Yusupov Alijon Abdujabbor o’g’li, Yusupov Sabirjon Abdujabborovich, Yo’ldoshev Muxriddin To’xtamurod o’g’li, & Jurayeva Muslima Mahmudjon qizi. (2022). Scientific research of improving the quality of yarns on a spinning machine. e Conference Zone, 19–21. Retrieved from https://www.econferencezone.org/index.php/ecz/article/view/907
https://lex.uz/uz/docs/-5721862#-5722069
Kukin G.N., Sоlоvyov А.I., Kоblyakоv А.А.
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