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Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Optimizing Speed Frame Drafting Variables for Yarn Uniformity and Hairiness Using Taguchi Design

Authors: G. K. Tyagi, Ashvani Goyal, and Sushant Dhiman;

Optimizing Speed Frame Drafting Variables for Yarn Uniformity and Hairiness Using Taguchi Design

Abstract

Background: The drafting system configuration in speed frames significantly influences the quality ofspun yarn. Factors such as yarn irregularity, coefficient of variation (CV %), imperfections, and hairinessare crucial parameters for evaluating yarn quality. This study compares the performance of PK 1500and PK 1600 drafting systems with 3-over-3 and 4-over-4 configurations using Taguchi methods tooptimize drafting variables for better yarn uniformity and reduced hairiness.Methodology: The study analyzed the effects of front and back top roller pressure, spacer size, andoverhang in the drafting region for PK 1500 (3/3 and 4/4) and PK 1600 (4/4) systems. Taguchi designand analysis of variance (ANOVA) were employed to evaluate the impact of these variables on yarnproperties, including irregularity, CV%, imperfections, and hairiness.Results: The 3-over-3 configuration of the PK 1500 drafting system outperformed the 4-over-4 setups inproducing yarn with lower unevenness, reduced CV%, and fewer imperfections. Additionally, thehairiness was found to be significantly higher in yarns produced with the 4-over-4 configurations of bothPK 1500 and PK 1600 systems.Conclusion: The study concluded that the 3-over-3 drafting system in the PK 1500 configuration offerssuperior yarn quality for the tested material and machine settings. This configuration is recommendedfor achieving optimal yarn uniformity and minimized hairiness, highlighting its advantages over 4-over4 setups.

Keywords

Drafting system, PK 1500 3/3, PK 1500 4/4, PK 1600 4/4, Taguchi method

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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