Influence of Blending Method and Blending Ratio on Ring-spun Yarn Quality – a MANOVA Approach

Authors

  • Jamal Hossen Ahsanullah University of Science and Technology, Department of Textile Engineering, 141–142, Love Road, Tejgaon, Industrial Area, Dhaka-1208, Bangladesh Author https://orcid.org/0000-0001-5041-3573
  • Subrata Kumar Saha Ahsanullah University of Science and Technology, Department of Textile Engineering, 141–142, Love Road, Tejgaon, Industrial Area, Dhaka-1208, Bangladesh Author https://orcid.org/0000-0003-3275-9559

DOI:

https://doi.org/10.14502/tekstilec.66.2023023

Keywords:

Cotton-polyester, Blending, Ring-spun yarn, Profile plot, Box’s M-test, Leven’s test

Abstract

Cotton-polyester is a common and popular fibre blend in the textile industry nowadays. Its main advantage is that it improves the functional properties of clothing and textile products. In this study, fibre-blended, sliver-blended and roving-blended yarns with a fineness of 23 tex were manufactured using a ring spinning system, with blend ratios of cotton and polyester fibres of 50:50, 60:40 and 70:30. The quality parameters of the produced yarn, such as mass variations, imperfections, hairiness and bundle yarn strength, were studied. The end breakage rate of the ring frame machine was also studied during the manufacturing of the yarns. The results were analysed using multivariate analysis of variance (MANOVA) to determine the significance of the impact of the blending method and blending ratio on yarn quality and the end breakage rate of the ring frame machine. The profile plots were analysed from statistical and technical points of view. Among the three blended yarns, fibre-blended yarn demonstrated the best results in terms of mass variations and imperfections due to better blending homogeneity, while roving-blended yarn demonstrated better results in terms of hairiness. Among the blended yarn, fibre-blended yarn demonstrated the highest bundle yarn strength value, while the corresponding end breakage rate of the ring frame machine recorded the lowest value. The yarn quality was improved in terms of mass variations, imperfections, hairiness and bundle yarn strength by increasing the polyester fibre percentage in the blend ratio.

Downloads

Download data is not yet available.

References

HOSSEN, J., AHMAD, N., ALI, S. M. An application of Pareto analysis and cause-and-effect diagram (CED) to examine stoppage losses: a textile case from Bangladesh. The Journal of the Textile Institute, 2017, 108(11), 2013–2020, doi: 10.1080/00405000.2017.1308786. DOI: https://doi.org/10.1080/00405000.2017.1308786

AHMAD, N., HOSSEN, J., ALI, S. M. Improvement of overall equipment efficiency of ring frame through total productive maintenance: a textile case. The International Journal of Advanced Manufacturing Technology, 2018, 94(1–4), 239–256, doi: 10.1007/s00170-017-0783-2. DOI: https://doi.org/10.1007/s00170-017-0783-2

TEKLEHAIMANOT, M., FISSEHA, K., AYELE, M. Combined effect of carding machine process parameters on yarn properties; process optimization. Tekstilec, 2022, 65(1), 58–66, doi: 10.14502/tekstilec.65.2021020. DOI: https://doi.org/10.14502/tekstilec.65.2021020

KOPITAR, D., PAVLOVIC, Z., SKENDERI, Z., VRLJICAK, Z. Comparison of double jersey knitted fabrics made of regenerated cellulose conventional and unconventional yarns. Tekstilec, 2022, 65(1), 25–35, doi: 10.14502/tekstilec.65.2021026. DOI: https://doi.org/10.14502/tekstilec.65.2021026

DUCKETT, K. E., GOSWAMI, B. C., RAMEY JR, H. H. Mechanical properties of cotton/polyester yarns. Part I: contributions of interfiber friction to breaking energy. Textile Research Journal, 1979, 49(5), 262–267, doi: 10.1177/004051757904900504. DOI: https://doi.org/10.1177/004051757904900504

ISLAM, M. R., MIA, R., UDDIN, A. J. (2022). Investigation of the performance of okra fiber in woven fabric. Heliyon, 2022, 8(4), 1–9, doi: 10.1016/j.heliyon.2022.e09307. DOI: https://doi.org/10.1016/j.heliyon.2022.e09307

SEKERDEN, F. Investigation on the unevenness, tenacity and elongation properties of bamboo/cotton blended yarns. Fibres & Textiles in Eastern Europe, 2011, 19(3), 26–29.

SHAD, S. S., MUMTAZ, A., JAVED, I. Effect of blending ratios and techniques on the quality parameters of 30's polyester/cotton yarn. Pakistan Journal of Agricultural Sciences, 2001, 38(3–4), 35–37.

SAMANTA, A. K. Effect of blend ratio on yarn evenness and imperfections characteristics of wool/polyester ring-spun yarn. Indian Journal of Fibre & Textile Research (IJFTR), 2014, 39(1), 89–92.

BOULTON, J., CHARNLEY, F. Machinery problems in blending cotton and man-made fibres. Journal of the Textile Institute Proceedings, 1955, 46(8), P534–P548, doi: 10.1080/19447015508665065. DOI: https://doi.org/10.1080/19447015508665065

LAWRENCE, C. A. Fundamentals of spun yarn technology. Boca Raton : CRC Press, 2003. DOI: https://doi.org/10.1201/9780203009581

Advances in yarn spinning technology. Edited by C.A. Lawrence. Oxford : Woodhead Publishing, 2010.

MALIK, S. A., FAROOQ, A., GEREKE, T., CHERIF, C. Prediction of blended yarn evenness and tensile properties by using artificial neural network and multiple linear regression. Autex Research Journal, 2016, 16(2), 43–50, doi: 10.1515/aut-2015-0018. DOI: https://doi.org/10.1515/aut-2015-0018

AKTER, N., REPON, M. R., MIKUČIONIENĖ, D., JALIL, M. A., ISLAM, T., KARIM, M. R. Fabrication and characterization of stretchable denim fabric using core spun yarn. Heliyon, 2021, 7(12), 1–9, doi: 10.1016/j.heliyon.2021.e08532. DOI: https://doi.org/10.1016/j.heliyon.2021.e08532

AFROZ, F., ISLAM, M. M. Study on mechanical property of woven fabrics made from 50/50 cotton-tencel blended siro yarn. Heliyon, 2021, 7(10), 1–11, doi: 10.1016/j.heliyon.2021.e08243. DOI: https://doi.org/10.1016/j.heliyon.2021.e08243

RAY, S., GHOSH, A., BANERJEE, D. Effect of blending methodologies on cotton melange yarn quality. Fibres & Textiles in Eastern Europe, 2018, 5(131), 41–46, doi: 10.5604/01.3001.0012.2529. DOI: https://doi.org/10.5604/01.3001.0012.2529

CHANNA, A. A., SOLANGI, W. H., NOONARI, Z. A., MEMON, A. H. Comparison of Quality & Propertiesof pc (52:48) blended ring spun yarn, produced by ‘intimate’ & ‘creel’ blending. International Journal of Emerging Technology & Research, 2014, 1(3), 33–52.

NAWAZ, M., SHAHBAZ, B., IFTIKHAR, M., ILYAS, M. Cotton and polyester double rove feeding effect on blend yarn imperfections. International Journal of Agriculture & Biology, 2003, 5(3), 364–366.

SAWHNEY, A. P. S., RUPPENICKER, G. F., KIMMEL, L. B., SALAUN, H. L., ROBERT, K. Q. New technique to produce a cotton/polyester blend yarn with improved strength. Textile Research Journal, 1988, 58(10), 601–604, doi: 10.1177/004051758805801007. DOI: https://doi.org/10.1177/004051758805801007

ZHANG, A. F., XIA, Z. P. Properties of jute blended yarns spun on ring spinning system. Advanced Materials Research, 2013, 779, 290–293, doi: 10.4028/www.scientific.net/AMR.779-780.290. DOI: https://doi.org/10.4028/www.scientific.net/AMR.779-780.290

TYAGI, G. K., GOYAL, A., CHATTOPADHYAY, R. (2013). Influence of twist and blend ratio on characteristics of ring-spun tencel blended yarns. Indian Journal of Fibre & Textile Research (IJFTR), 2013, 38(2), 138–143.

KILIC, M., OKUR, A. The properties of cotton-Tencel and cotton-Promodal blended yarns spun in different spinning systems. Textile Research Journal, 2011, 81(2), 156–172, 2011, doi: 10.1177/0040517510377828. DOI: https://doi.org/10.1177/0040517510377828

BEHERA, B. K., HARI, P. K., BANSAL, S., SINGH, R. Effect of different blending methods and blending stages on properties of Milange yarn. Indian Journal of Fibre & Textile Research (IJFTR), 1997, 22(2), 84–88.

Process control and yarn quality in spinning. Edited by G. Thilagavathi and T. Karthik. New Delhi : CRC Press, 2015, doi: 10.1201/b18797. DOI: https://doi.org/10.1201/b18797

Process management in spinning. Edited by R. S. Kumar. New York: CRC Press, 2015.

LORD P. R. Handbook of yarn production. Cambridge : Woodhead Publishing, 2003, doi: 10.1533/9781855738652. DOI: https://doi.org/10.1533/9781855738652

KLEIN W. The Rieter manual of spinning - vol. 1. Rieter Holding, 2014.

REGAR, M. L., AMJAD, A. I., JOSHI, S. Effect of solvent treatment on siro and ring spun TFO polyester yarn. Tekstilec, 2021, 64(1), 1–8, doi: 10.14502/Tekstilec2021.64.47-54. DOI: https://doi.org/10.14502/Tekstilec2021.64.47-54

AMJAD, A. I., KUMAR, R. Evaluation of mechanical and physical characteristics of eco blended melange yarns. Tekstilec, 2020, 63(2), 94–103, doi: 10.14502/Tekstilec2020.63.94-103. DOI: https://doi.org/10.14502/Tekstilec2020.63.94-103

KRETZSCHMAR S. D., FURTER R. Application Report, USTER® TESTER 5-S800 Version 1.1, 2009 SE 629.

PEREIRA, J. M., BASTO, M., FERREIRA-DA-SILVA, A., RIBEIRO, H. Financial risk analysis of portuguese textile and tourism companies. Mediterranean Journal of Social Sciences, 2015, 6(3), 1–7, doi: 10.5901/mjss.2015.v6n3p471. DOI: https://doi.org/10.5901/mjss.2015.v6n3p471

CLEFF, T. Applied statistics and multivariate data analysis for business and economics. Cham : Springer, 2019, doi: 10.1007/978-3-030-17767-6. DOI: https://doi.org/10.1007/978-3-030-17767-6

PEI, J., PARK, H., ASHDOWN, S. P. Female breast shape categorization based on analysis of CAESAR 3D body scan data. Textile Research Journal, 2019, 89(4), 590–611, doi: 10.1177/0040517517753633. DOI: https://doi.org/10.1177/0040517517753633

Test method for liner density of yarn (yarn number) by the skein method. ASTM International, West Conshohocken, PA, 2018, doi: 10.1520/D1907_D1907M-12R18. DOI: https://doi.org/10.1520/D1907_D1907M-12R18

Test method for breaking strength of yarn in skein form. ASTM International, West Conshohocken, PA, 2016, doi: 10.1520/D1578-93R16. DOI: https://doi.org/10.1520/D1578-93R16

Test method for evenness of textile strands using capacitance testing equipment. ASTM International, West Conshohocken, PA, 2020, doi: 10.1520/D1425_D1425M-14. DOI: https://doi.org/10.1520/D1425_D1425M-14

GRICE, J. W., IWASAKI, M. A truly multivariate approach to MANOVA. Applied Multivariate Research, 2008, 12(3), 199–226. DOI: https://doi.org/10.22329/amr.v12i3.660

RICHARDSON, J. T. Eta squared and partial eta squared as measures of effect size in educational research. Educational Research Review, 2011, 6(2), 135–147, doi: 10.1016/j.edurev.2010.12.001. DOI: https://doi.org/10.1016/j.edurev.2010.12.001

HULLETT, C. R., LEVINE, T. R. The overestimation of effect sizes from F values in meta-analysis: the cause and a solution. Communication Monographs, 2003, 70(1), 52–67, doi: 10.1080/715114664. DOI: https://doi.org/10.1080/03637750302475

GEORGE, D., MALLERY P. IBM Statistics 25 step by step: a simple guide and reference. New York : Routledge, 2018, doi: 10.4324/9781351033909. DOI: https://doi.org/10.4324/9781351033909

ANDERSON, M. J. A new method for non‐parametric multivariate analysis of variance. Austral Ecology, 2001, 26(1), 32–46, doi: 10.1111/j.1442-9993.2001.01070.pp.x DOI: https://doi.org/10.1111/j.1442-9993.2001.01070.pp.x

SARMA, K. V. S., VARDHAN, R. V. Multivariate statistics made simple: a practical approach. Boca Raton : CRC Press, 2019. DOI: https://doi.org/10.1201/9780429465185

PALANIVEL, R. V., GANESH, K. S., NYANGOSI, R. A study on socio-economic conditions and work life balance of women workers in textile spinning mills. International Journal of Business Management Insight & Transformations, 2019, 3(1), 1–8.

HAHS-VAUGHN, D. L. Applied multivariate statistical concepts. New York: Routledge, 2016, doi: 10.4324/9781315816685. DOI: https://doi.org/10.4324/9781315816685

GHOSH, Anil K. Applied MANOVA and discriminant analysis. Journal of the American Statistical Association, 2007, 102(479), 1075–1076, doi: 10.1198/jasa.2007.s203. DOI: https://doi.org/10.1198/jasa.2007.s203

SARIOĞLU, E., KAYNAK, H. K. PET bottle recycling for sustainable textiles. In Polyester-production, characterization and innovative applications. Edited by Nurhan Onar Camlibel. London : IntechOpen, 2017, 5–20, doi: 10.5772/intechopen.72589. DOI: https://doi.org/10.5772/intechopen.72589

BULUT, Okan, DESJARDINS, Christopher David. Profile analysis of multivariate data: a brief introduction to the ProfileR package. 2020 Feb 10; Available from: http://dx.doi.org/10.31234/osf.io/sgy8m. DOI: https://doi.org/10.31234/osf.io/sgy8m

DAVISON, M. L., KIM, S. K., CLOSE, C. Factor analytic modeling of within person variation in score profiles. Multivariate Behavioral Research, 2009, 44(5), 668–687, doi: 10.1080/00273170903187665. DOI: https://doi.org/10.1080/00273170903187665

KIM, S. K., FRISBY, C. L., DAVISON, M. L. Estimating cognitive profiles using profile analysis via multidimensional scaling (PAMS). Multivariate Behavioral Research, 2004, 39(4), 595–624, doi: 10.1207/s15327906mbr3904_2. DOI: https://doi.org/10.1207/s15327906mbr3904_2

Downloads

Published

2023-09-29

Issue

Section

Scientific article

Categories

How to Cite

Hossen, J., & Saha, S. K. (2023). Influence of Blending Method and Blending Ratio on Ring-spun Yarn Quality – a MANOVA Approach. Tekstilec, 66, 227-239. https://doi.org/10.14502/tekstilec.66.2023023