Cotton Fiber Imperfections and Their Probable Relation to Yarn Quality

In order to determine the relationship between the fiber properties of the yarn quality in the article, experiments were conducted using a passive method of mathematical planning and a regression equation was obtained for each optimal parameter. Based on the experiments, it was found that a decrease in fiber micronaire, an increase in tensile strength, fiber length and uniformity, leads to an increase in the specific tensile strength of yarn, a decrease in the coefficient of variation in tensile strength and the number of breaks in the yarn.

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Theoretical and experimental analysis of the process of discretization of cotton fiber in OE spinning

E3S Web of Conferences ◽

10.1051/e3sconf/202130403032 ◽

2021 ◽

Vol 304 ◽

pp. 03032

Author(s):

Kamol Akhmedov ◽

Saypila Matismailov ◽

Botir Mardonov ◽

Alisher Yuldashev

Keyword(s):

Experimental Analysis ◽

Cotton Fiber ◽

Regression Equation ◽

Planning Method ◽

Mathematical Planning ◽

Yarn Quality ◽

Optimal Values

This article examines the influence of the parameters of the coating teeth of the discrete drum on the quality of the OE yarn. Based on the analysis of the conditions for retention of fibers by the covering teeth of the discrete drum, equations were obtained to determine the angle of inclination of the teeth. To determine the effect of the coating parameters of the discrete drum teeth on yarn quality, experiments were performed using the Full Factor Experiments mathematical planning method, and a regression equation was obtained for each variable. As a result, the optimal values of the discretization drum coating teeth of the OE spinning machine were determined.

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Optimization of Spacer Size and Degree of Shore Hardness on Yarn Quality in Ring Frame Machine

Advance Research in Textile Engineering ◽

10.26420/advrestexteng.2021.1058 ◽

2021 ◽

Vol 6 (1) ◽

Author(s):

Shiferaw M ◽

◽

Muhammed A ◽

Keyword(s):

Cotton Fiber ◽

Quality Parameters ◽

Ring Spinning ◽

Shore Hardness ◽

Testing Methods ◽

Standard Testing ◽

Yarn Quality ◽

Ring Frame ◽

Pink Color ◽

Yarn Production

This study was mainly focused on the optimization of spacer size and degree of shore hardness in ring frame drafting systems to improve yarn quality parameters. The 100% cotton fiber carded yarn samples of 35.5Nm were produced to analyze the effect of spacer size and degree of shore hardness with different combinations. The spacers were 4.2 and 4.5 mm and the shore hardness was 70 back & 62 front and 70 back & 65 front. All yarn samples of the same count were produced on the same spinning positions by changing the spacer’s size and degree of shore hardness by keeping all other parameters constant. The produced samples were tested according to standard testing methods and instruments. After testing, the tested results were compared to analyze the influence of spacer size and shore hardness on yarn quality in a ring spinning frame. The technologist needs to understand this and act on it to optimize the yarn production. The specific size of the spacer with specific shore hardness should be used for a particular count of yarn. The results showed that yarn quality i.e. U%, Cvm, Neps +200%/km, Thick +50%/km, Thin -50%/ km, TIPI are considerably influenced by the spacer size with different shore hardness. So it is concluded that the best result has been obtained in the case of using a pink color spacer (4.2mm) with 70 degrees back and 65 front degree front top rollers.

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Characterizing the total within-sample variation in cotton fiber length using the High Volume Instrument fibrogram

Textile Research Journal ◽

10.1177/0040517520935212 ◽

2020 ◽

Vol 91 (1-2) ◽

pp. 175-187

Author(s):

Md Abu Sayeed ◽

Mithcell Schumann ◽

John Wanjura ◽

Brendan R Kelly ◽

Wayne Smith ◽

...

Keyword(s):

Cotton Fiber ◽

Fiber Length ◽

Length Distribution ◽

High Volume ◽

Partial Least Square ◽

Least Square ◽

Length Variation ◽

Yarn Quality ◽

Length Measurements ◽

Better Than

Within-sample variation in cotton fiber length is important when explaining variation in yarn quality. However, typical High Volume Instrument (HVI) length parameters, the Upper Half Mean Length (UHML) and Uniformity Index (UI), do not characterize the total within-sample variation in fiber length. HVI fiber length measurements are based on the fibrogram principle where the HVI generates a curve called a fibrogram and reports the UHML and UI. Our results, based on 19,628 commercial bales, reveal that the typical HVI length measurements do not characterize unique types of length variation. Fibrograms from a subset of 538 commercial samples suggest that the fibrograms capture additional within-sample variation in fiber length that is not being currently reported. Two additional sets of samples were then used to evaluate the importance of this additional length variation. Partial Least Square Regression models and leave-one-out cross-validation reveal that the HVI fibrogram explains yarn quality better than current HVI length parameters and is comparable with the Advanced Fiber Information System (AFIS) length distribution by number. The validation results show that the models built with the HVI fibrogram are better than models with the current HVI length parameters and at least as good as the AFIS length distribution by number when predicting yarn quality. Fiber length variation captured by the whole fibrogram could provide a new tool to breeders for selecting breeding lines and spinners for purchasing cotton bales.

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Genetic improvement in cotton fiber elongation can impact yarn quality

Industrial Crops and Products ◽

10.1016/j.indcrop.2018.11.066 ◽

2019 ◽

Vol 129 ◽

pp. 1-9 ◽

Cited By ~ 2

Author(s):

Carol M. Kelly ◽

Juliana Osorio-Marin ◽

Neha Kothari ◽

Steve Hague ◽

Jane K. Dever

Keyword(s):

Cotton Fiber ◽

Genetic Improvement ◽

Fiber Elongation ◽

Yarn Quality

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Statistical analysis of fiber quality to obtain a correlation between the fiber and yarn quality

Journal of Textile Engineering & Fashion Technology ◽

10.15406/jteft.2020.06.00256 ◽

2020 ◽

Vol 6 (6) ◽

Author(s):

Rony Mia ◽

Sheikh Sad Habib-A-Rasul ◽

Md Arif Saleh Tasin ◽

Md Abdullah Al Mamun ◽

Md Fahim Ahmed ◽

...

Keyword(s):

Statistical Analysis ◽

Cotton Fiber ◽

Fiber Quality ◽

High Volume ◽

Yarn Strength ◽

Fiber Properties ◽

Yarn Quality ◽

Fiber Maturity

The purpose of this research was to make a correlation between the fiber and yarn quality based on different properties of the fiber. The properties of cotton fiber were tested by the High Volume Instrument (HVI) machine. Firstly, we collect fiber from a different lot and then tested the properties by the High Volume Instrument (HVI) Machine. After that, we made yarn from that lot and made the same count of yarn. The tested properties were mic, length, maturity, strength, elongation, moisture, etc. The same count of yarn was tested by the USTER EVENESS TESTER machine. Comparing the HVI report and the USTER TESTER report, we saw that how to effect different fiber properties of the different lot on the same count of yarn quality. Then we made a correlation between them. The observation suggested that yarn strength and fineness are depended upon fiber maturity. This paper reports a glimpse of the effect of fiber properties on yarn quality.

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Effect of Cleaning Treatment and Cotton Cultivar on Cotton Fiber and Textile Yarn Quality

Applied Engineering in Agriculture ◽

10.13031/2013.42468 ◽

2012 ◽

Vol 28 (6) ◽

pp. 833-840 ◽

Cited By ~ 3

Author(s):

C. Li ◽

D. Thibodeaux ◽

A. R. Knowlton ◽

J. Foulk

Keyword(s):

Cotton Fiber ◽

Textile Yarn ◽

Yarn Quality ◽

Cleaning Treatment ◽

Cotton Cultivar

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Selecting Cotton Fiber Properties for Fitting Reliable Equations to HVI Data

Textile Research Journal ◽

10.1177/004051758805800704 ◽

1988 ◽

Vol 58 (7) ◽

pp. 392-397 ◽

Cited By ~ 25

Author(s):

Yehia E. El Mogahzy

Keyword(s):

Cotton Fiber ◽

Sequential Analysis ◽

Statistical Procedure ◽

Reliable Prediction ◽

Independent Variables ◽

Fiber Properties ◽

Yarn Quality ◽

Scientists And Engineers ◽

Proper Context ◽

Selection Of

An advanced statistical procedure for developing reliable prediction equations relating cotton fiber properties and the skein break factor of yarn is demonstrated. The procedure consists of a sequential analysis in which subsets of independent variables are obtained by linear regression to best predict a dependent variable. Selection of the most reliable equation is based on three main criteria: the R2 statistic, the Cp statistic, and the MSE. The independent variables considered in the analysis are the cotton fiber properties measured by the HVI system (MCI3000). A reliable regression equation relating cotton fiber properties and yarn quality should simultaneously satisfy the two criteria: it has a high R2 value and uses only the most important fiber properties. Written primarily for textile scientists and engineers, the details of the statistical analysis are minimized, and the analysis is presented in its proper context, as a useful tool for the nonstatistician.

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