Investigations of the spinning consistency index (SCI) and its impact on yarn quality

Purpose This study aims to analyze the spinning consistency index (SCI) and its impact on yarn quality. It focuses on the relationship between SCI and the final properties of 30 Ne carded hosiery yarn. By evaluating key quality parameters, the research seeks to determine how SCI can serve as a predictive tool for optimizing yarn production. Design/methodology/approach The study involved producing 30 Ne carded hosiery yarn and rigorously testing its properties using the Uster Evenness Tester-5. Various quality parameters, including neps content, mass irregularity, yarn imperfections and tensile behavior, were evaluated at each processing stage. Findings The findings reveal that Type 1 yarn demonstrated a count strength product value approximately 15% higher than the other two types. In addition, it exhibited a CVm% that was 18% lower, highlighting reduced mass variation and enhanced uniformity. Regarding imperfections, Type 1 yarn showed a 25% reduction compared to the other two types, reflecting improved fiber spinnability and overall yarn performance. Originality/value This research thoroughly examines SCI’s role in yarn production, highlighting its predictive value for optimizing yarn quality. The study offers valuable insights for textile manufacturers seeking to enhance the efficiency and effectiveness of their spinning processes, ultimately contributing to the development of higher-quality textile products.

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Publication Details

Journal
Research Journal of Textile and Apparel
Published
2025-02-13
DOI
https://doi.org/10.1108/rjta-07-2024-0129
Citations
6
Primary Topic
Textile materials and evaluations
Type
article
Field-Weighted Citation Impact
3.64
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article

Investigations of the spinning consistency index (SCI) and its impact on yarn quality

Siyam Quddus Khan, Ahmed Jalal Uddin, Md. Anwar Hossain, Sifat Kibria Srijan et al.
6 citations
Research Journal of Textile and Apparel
Textile materials and evaluations
3.64
article

Investigations of the spinning consistency index (SCI) and its impact on yarn quality

Siyam Quddus Khan, Ahmed Jalal Uddin, Md. Anwar Hossain, Sifat Kibria Srijan, Kazi Rashed Rinaz
article en
6 citations

Abstract

Purpose This study aims to analyze the spinning consistency index (SCI) and its impact on yarn quality. It focuses on the relationship between SCI and the final properties of 30 Ne carded hosiery yarn. By evaluating key quality parameters, the research seeks to determine how SCI can serve as a predictive tool for optimizing yarn production. Design/methodology/approach The study involved producing 30 Ne carded hosiery yarn and rigorously testing its properties using the Uster Evenness Tester-5. Various quality parameters, including neps content, mass irregularity, yarn imperfections and tensile behavior, were evaluated at each processing stage. Findings The findings reveal that Type 1 yarn demonstrated a count strength product value approximately 15% higher than the other two types. In addition, it exhibited a CVm% that was 18% lower, highlighting reduced mass variation and enhanced uniformity. Regarding imperfections, Type 1 yarn showed a 25% reduction compared to the other two types, reflecting improved fiber spinnability and overall yarn performance. Originality/value This research thoroughly examines SCI’s role in yarn production, highlighting its predictive value for optimizing yarn quality. The study offers valuable insights for textile manufacturers seeking to enhance the efficiency and effectiveness of their spinning processes, ultimately contributing to the development of higher-quality textile products.

Research Journal of Textile and ApparelVol. 30(1)
Ahsanullah University of Science and Technology (BD), Uttara University (BD), Bangladesh University of Textiles (BD)
Openalex Percentile: Top 8%
Textile materials and evaluations
3.64
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Investigations of the spinning consistency index (SCI) and its impact on yarn quality — Siyam Quddus Khan, Ahmed Jalal Uddin, et al. · Research Journal of Textile and Apparel (2025) | TGRS Research Map | TGRS