Study to relate mini-spun yarn tenacity with cotton fiber strength

2019 ◽  
Vol 89 (21-22) ◽  
pp. 4491-4501 ◽  
Author(s):  
Yongliang Liu ◽  
B Todd Campbell ◽  
Christopher Delhom
Keyword(s):  
Cotton Fiber ◽  
Fiber Strength ◽  
Pearson Correlation ◽  
High Volume ◽  
Short Fiber ◽  
Ratio Method ◽  
Linear Regression Models ◽  
Fiber Properties ◽  
Yarn Tenacity ◽  
Cotton Cultivar

There has been great interest in assessing yarn tenacity directly from available cotton fiber property data acquired by various means, including high-volume instrumentation (HVI). The HVI test is a primary and routine measurement providing fiber properties to cotton researchers. Knowledge about yarn tenacity within a cotton cultivar or between cultivars could be useful with regard to understanding the selection of cotton cultivars. This study examined the effect of cotton growth location, crop year, and cultivar on three relationships (fiber strength versus fiber micronaire, yarn tenacity versus fiber micronaire, and fiber strength versus yarn tenacity), and found great variations in the Pearson correlation and the gradients of respective regression lines. Instead of developing linear regression models from HVI fiber properties to predict yarn tenacity, this study applied a simple ratio method (i.e. normalized fiber strength or yarn tenacity against five HVI fiber properties) to relate fiber strength with yarn tenacity. The short fiber index was found to have a greater effect on the correlation between modified yarn tenacity and modified fiber strength than micronaire, yellowness, upper-half mean length, or uniformity index. This result implied the feasibility of utilizing HVI fiber short fiber index and strength data, as a semiquantitative and fast approach, to compare yarn tenacity performance within a cotton cultivar or between cultivars.

Comparative Relationship of Fiber Strength and Yarn Tenacity in Four Cotton Cultivars

2015 ◽  
Vol 5 (1) ◽  
pp. 46
Author(s):  
Yongliang Liu ◽  
B. Todd Campbell ◽  
Chris Delhom ◽  
Vikki Martin
Keyword(s):  
Fiber Strength ◽  
Fiber Quality ◽  
High Volume ◽  
Quality Data ◽  
Ratio Method ◽  
Linear Regression Models ◽  
Yarn Quality ◽  
Yarn Tenacity ◽  
Simple Ratio ◽  
Cotton Cultivar

<p class="1Body">High volume instrumentation (HVI<sup>TM</sup>) measurement is a primary and routine tool of providing fiber properties to cotton researchers. There have been considerable studies designed to derive yarn quality from acquired fiber quality data by various means, including HVI. There is also of desired information about the comparison of yarn quality within a cotton cultivar or among the cultivars, as such knowledge could be informative in attempts to understand the selection of cotton cultivars. The purpose of this preliminary study was to characterize the fiber HVI strength and yarn skein tenacity of four cotton cultivar harvested from three locations in different crop years. Instead of developing linear regression models from acquired fiber property parameters to predict yarn tenacity, this study applied a simple ratio method (i.e., correct fiber strength or yarn tenacity with fiber micronaire component) to relate fiber strength with yarn tenacity. The results indicate that three cultivars (DP 393, Phytogen 72, and FM 958) show stronger correlation between micronaire corrected yarn tenacity and micronaire corrected fiber HVI strength. It implies the feasibility of utilizing HVI fiber micronaire and strength property data, as a semi-quantitative and fast tool, to compare the yarn tenacity performance within a cotton cultivar or between cultivars.</p>

scholarly journals Use of Pressured-Air for Cotton Lint Cleaning

2019 ◽  
Vol 12 (1) ◽  
pp. 31
Author(s):  
Ruixiu Sui
Keyword(s):  
Cotton Fiber ◽  
Fiber Length ◽  
Fiber Quality ◽  
High Volume ◽  
Short Fiber ◽  
Fiber Content ◽  
Mechanical Contact ◽  
Cotton Lint ◽  
Fiber Properties ◽  
Cotton Fiber Quality

Saw-type lint cleaner (STLC) was most efficient lint cleaner in cotton ginning. However, STLC damaged fiber quality. An air-bar lint cleaner (ABLC) was developed and evaluated to preserve cotton fiber quality. The ABLC used pressurized-air to remove non-lint materials from cotton fiber. During lint cleaning process, non-lint materials attached to the fiber were blown off the fiber without the fiber making aggressive mechanical contact with a grid bar in conventional saw-type lint cleaner (STLC). It was expected using this concept that the fiber quality could be preserved by reducing the damage from mechanical impact of the fiber against the grid bar. Preliminary testing of the ABLC prototype showed that ABLC generated less lint waste and had a higher turnout rate than STLC. Use of ABLC could save 2.8 kg of lint in each 225 kg bale of cotton. The High Volume Instrument (HVI) analysis indicated the fiber properties in fiber length, uniformity, short fiber content, and color were not significantly different between ABLC and STLC. However, the Advanced Fiber Information System (AFIS) tests showed STLC had better performance than ABLC in fiber length and short fiber content while the trash and dust content with ABLC was lower than the STLC. More research was necessary to further prove the concept of ABLC and improve its performance in preserving cotton fiber quality.

Discriminant analysis-based modeling of cotton fiber and yarn properties

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Baneswar Sarker ◽  
Shankar Chakraborty
Keyword(s):  
Discriminant Analysis ◽  
Physical Properties ◽  
Cotton Fiber ◽  
Fiber Strength ◽  
Natural Fibers ◽  
Content Type ◽  
Fiber Properties ◽  
Yarn Properties ◽  
Fiber Fineness ◽  
Genetic And Environmental Factors

Purpose Like all other natural fibers, the physical properties of cotton also vary owing to changes in the related genetic and environmental factors, which ultimately affect both the mechanics involved in yarn spinning and the quality of the yarn produced. However, information is lacking about the degree of influence that those properties impart on the spinnability of cotton fiber and the strength of the final yarn. This paper aims to discuss this issue. Design/methodology/approach This paper proposes the application of discriminant analysis as a multivariate regression tool to develop the causal relationships between six cotton fiber properties, i.e. fiber strength (FS), fiber fineness (FF), upper half mean length (UHML), uniformity index (UI), reflectance degree and yellowness and spinning consistency index (SCI) and yarn strength (YS) along with the determination of the respective contributive roles of those fiber properties on the considered dependent variables. Findings Based on the developed discriminant function, it can be revealed that FS, UI, FF and reflectance degree are responsible for higher YS. On the other hand, with increasing values of UHML and fiber yellowness, YS would tend to decrease. Similarly, SCI would increase with higher values of FS, UHML, UI and reflectance degree, and its value would decrease with increasing FF and yellowness. Originality/value The discriminant functions can effectively envisage the contributive role of each of the considered cotton fiber properties on SCI and YS. The discriminant analysis can also be adopted as an efficient tool for investigating the effects of various physical properties of other natural fibers on the corresponding yarn characteristics.

Influence of Cotton Fiber Strength and Fineness on Fiber Damage during Lint Cleaning

1988 ◽  
Vol 58 (8) ◽  
pp. 433-438 ◽  
Author(s):  
J. K. Dever ◽  
J. R. Gannaway ◽  
R. V. Baker
Keyword(s):  
Significant Relationship ◽  
Cotton Fiber ◽  
Fiber Length ◽  
Fiber Strength ◽  
Fiber Breakage ◽  
Fiber Damage ◽  
Fiber Properties ◽  
Fiber Fineness ◽  
Wide Range ◽  
Induced Changes

Seven sources of cotton representing a wide range of fiber properties were roller ginned, saw ginned, or saw ginned plus processed through tandem saw lint cleaners or through an aggressive carding-type cleaner (Cottonmaster1). Lint cleaner induced changes in fiber length and nep count were compared to fiber property measurements from roller ginned samples. Fiber length deterioration from saw ginning was negatively correlated with fiber strength. Fiber breakage in lint cleaning was positively correlated with fiber fineness. Resistance to fiber length damage in ginning was explained best by fiber strength and fineness, or an estimate of individual fiber strength. Initial and final nep level were related to fineness, nonlint content, and upper quartile length, but an increase in neps due to lint cleaning had no significant relationship to fiber properties.

Understanding the influence of fiber length on the High Volume Instrument™ measurement of cotton fiber strength

2014 ◽  
Vol 84 (9) ◽  
pp. 979-988 ◽  
Author(s):  
Geoffrey RS Naylor ◽  
Christopher D Delhom ◽  
Xiaoliang Cui ◽  
Jean-Paul Gourlot ◽  
James Rodgers
Keyword(s):  
Cotton Fiber ◽  
Fiber Length ◽  
Fiber Strength ◽  
High Volume

Measurement of Cotton Fiber Tenacity on 1/8 Gage HVI Tapered Bundles

1982 ◽  
Vol 104 (2) ◽  
pp. 169-174 ◽  
Author(s):  
R. A. Taylor
Keyword(s):  
Conventional Method ◽  
Cotton Fiber ◽  
Fiber Strength ◽  
High Volume ◽  
Fiber Bundles ◽  
Tapered Fiber ◽  
Yarn Strength ◽  
Spun Yarns ◽  
Precision And Accuracy ◽  
Predetermined Number

The inherent precision and accuracy of the methods used for measuring the fiber bundles strength of cotton encompass the variability among individual measurements and the confidence with which the measurements can be used to predict the strength of yarn or fabric. A high volume instrument developed for measuring the length characteristics of cotton fiber in tapered fiber beards was used to break the same beard for a measure of fiber strength. A method of breaking fiber bundles at a predetermined distance from the sampling clamp was compared with the conventional method—breaking a predetermined number of fibers. Sources contributing to variability of both measurements were defined, analyzed, and compared to sources of variability in Pressley and Stelometer measurements of the same cotton samples. All methods of measuring bundle strength were evaluated for accuracy as predictors of yarn strength for both open-end and ring-spun yarns. Data agreed closely between two methods tested with the high volume instrument. Data from conventional testers (Pressley and Stelometer), however, were better predictors of yarn strength than either HVI method.

“Regressional” Observations of HVI Fiber Properties, Yarn Quality, and Processing Performance of Medium Staple Cotton

1992 ◽  
Vol 62 (4) ◽  
pp. 218-226 ◽  
Author(s):  
Yehia E. El Mogahzy ◽  
Roy M. Broughton
Keyword(s):  
Multivariate Analyses ◽  
High Volume ◽  
Short Fiber ◽  
Fiber Content ◽  
Empirical Equations ◽  
Fiber Properties ◽  
Yarn Quality ◽  
Correlation Analyses ◽  
Wide Range ◽  
Fiber Maturity

Fiber data (USDA) representing six cotton crops (1984–1989) were analyzed using regression and correlation analyses. These data consist of two high volume instrument systems (MCI and SpinLab) fiber properties and corresponding properties measured by traditional systems (the Suter-Webb array method, the Peyer Almeter, the Shirley FMT, the Shirley trash analyzer, and the Pressley strength tester). Different testing systems were compared using bivariate and multivariate analyses, and empirical equations for predicting fiber maturity and short fiber content suggested. The reliability of the results shown in this study is driven by the fact that the data examined involve a wide range of varieties and properties and a large number of observations.

Response of Fiber Properties to Gin Machinery and Moisture During Ginning as Measured by HVI

1983 ◽  
Vol 105 (1) ◽  
pp. 1-5 ◽  
Author(s):  
W. S. Anthony
Keyword(s):  
Moisture Content ◽  
Fiber Length ◽  
Fiber Strength ◽  
High Volume ◽  
Manufacturing Industries ◽  
Detailed Characterization ◽  
Fiber Properties

The High Volume Instrument (HVI) classification of cotton provides a detailed characterization of fiber properties that are important to the cotton marketing and manufacturing industries. Several of these properties are influenced by gin machinery; for example, lint cleaners improve the trash grade, grayness, and yellowness of cotton. HVI measurements revealed that moisture content of the cotton during gin processing influenced fiber properties more than did gin machinery. Fiber length, fiber strength, length uniformity, and trash grade decreased as the moisture content during gin processing decreased.

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