Evidence and potential explanation of the influence of fiber length on the High Volume Instrument measurement of cotton fiber strength

2013 ◽  
Vol 83 (18) ◽  
pp. 1896-1905 ◽  
Author(s):  
Geoffrey RS Naylor
Keyword(s):  
Cotton Fiber ◽  
Fiber Length ◽  
Fiber Strength ◽  
High Volume ◽  
Potential Explanation ◽  
Instrument Measurement

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

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.

Interference of Hogpotato (Hoffmanseggia glauca) with Cotton (Gossypium hirsutum)

Weed Science ◽  
1989 ◽  
Vol 37 (5) ◽  
pp. 688-694 ◽  
Author(s):  
Eric P. Castner ◽  
Don S. Murray ◽  
Neil M. Hackett ◽  
Laval M. Verhalen ◽  
David L. Weeks ◽  
...  
Keyword(s):  
Gossypium Hirsutum ◽  
Plant Height ◽  
Cotton Fiber ◽  
Fiber Length ◽  
Fiber Strength ◽  
Dry Weight ◽  
Lint Yield ◽  
Cotton Lint ◽  
Weed Interference ◽  
Cotton Lint Yield

The effects of hogpotato interference on cotton and of the crop on the weed were measured under field conditions in four environments. Full-season interference from 105 ± 21 hogpotato plants/m2reduced cotton plant height by 14 to 44%. Conversely, weed dry weight was reduced 54% through full-season interference from cotton. Lint yield reductions in cotton ranged from 31 to 98% following full-season weed interference. Interference during the first 7 weeks of crop growth reduced lint yield by approximately 40%; however, interference after 7 weeks of weed-free maintenance did not affect lint yield. Interference reduced boll size in 3 of 4 yr, lint percent in 2 of 4, and boll number in the only year it was measured. Cotton fiber length, uniformity index, and micronaire were reduced by full-season interference in 1 of 2 yr; however, fiber strength was not affected in either year. Significant use of soil water by hogpotato occurred at 120 cm and deeper in the soil while cotton used water primarily in the upper 75 cm.

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.

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.

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.

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

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.

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.

Variation in the advanced fiber information system cotton fiber length-by-number distribution captured by high volume instrument fiber length parameters

2017 ◽  
Vol 88 (7) ◽  
pp. 754-765 ◽  
Author(s):  
Brendan R Kelly ◽  
Eric F Hequet
Keyword(s):  
Information System ◽  
Cotton Fiber ◽  
Fiber Length ◽  
Fiber Quality ◽  
Length Distribution ◽  
High Volume ◽  
Statistical Technique ◽  
Quality Parameter ◽  
Sample Distribution ◽  
Cotton Fiber Quality

Variation in cotton fiber length impacts processability at the mill and the quality of spun yarns. The High Volume Instrument (HVI) and Advanced Fiber Information System (AFIS) are cotton fiber quality assessment instruments able to quickly assess a myriad of fiber quality characteristics. HVI testing provides the fiber length parameters most widely utilized by the cotton industry, Upper Half Mean Length and Uniformity Index. However, HVI fiber length parameters do not account for the complete within-sample variation in fiber length, such as the shortest fibers in the sample. AFIS testing is able to characterize the complete within-sample distribution of fiber length within a sample of cotton by evaluating individual fibers. Within-sample variation in fiber length is an important cotton fiber quality concern because it impacts processing performance and yarn quality. In this paper, the fiber length for 9127 commercial cotton bales was evaluated on both HVI and AFIS. The AFIS length distributions are used to characterize the complete distribution of fiber length within each bale. A novel statistical technique is introduced and is used to characterize a set of multivariate axes that characterize the total within-bale variation in fiber length among the complete set of commercial bales. These results suggest that less than half of the variation in cotton fiber length captured by the AFIS length distributions is captured by the two length parameters provided by HVI testing. If an experimental factor has no significant impact on an HVI fiber quality parameter, an alternative cotton fiber length measurement such as the AFIS length distribution should be considered.

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