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

1982 ◽  
Vol 104 (2) ◽  
pp. 169-174 ◽  
Author(s):  
R. A. Taylor

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.

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

2019 ◽  
Vol 89 (21-22) ◽  
pp. 4491-4501 ◽  
Author(s):  
Yongliang Liu ◽  
B Todd Campbell ◽  
Christopher Delhom

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.


Author(s):  
Rony Mia ◽  
Sheikh Sad Habib-A-Rasul ◽  
Md Arif Saleh Tasin ◽  
Md Abdullah Al Mamun ◽  
Md Fahim Ahmed ◽  
...  

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.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Baneswar Sarker ◽  
Shankar Chakraborty

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.


2019 ◽  
Vol 19 (1) ◽  
pp. 68-73 ◽  
Author(s):  
Yuzheng Lu ◽  
Yang Wang ◽  
Weidong Gao

Abstract In this study, the wicking properties of ring and compact-siro ring spun staple yarns were compared. The twist level, which is related to the structure of the staple yarns, was found to significantly influence the wicking property of the two kinds of yarn. Polyester staple fibers with 1.33 dtex × 38 mm were selected as the staple fiber material, and the effect of the twist level on the wicking property was investigated using the capillary rise method. The results show that with a decreasing twist coefficient, the wicking height increases with a decrease in yarn compactness. The compact-siro spun yarn showed better wicking properties owing to it special ply yarn structure. Furthermore, the tension property of the yarns decreased significantly with a decrease in the twist coefficient. Compact-siro spinning was carried out to obtain staple yarns with lower twist coefficients, and the yarns showed great improvement in terms of yarn strength, fiber straightness, and wicking properties. Thus, compact-siro spinning is an efficient method to improve the wicking properties of staple yarns.


1988 ◽  
Vol 58 (8) ◽  
pp. 433-438 ◽  
Author(s):  
J. K. Dever ◽  
J. R. Gannaway ◽  
R. V. Baker

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.


2020 ◽  
Author(s):  
David D. Fang ◽  
Linghe Zeng ◽  
Gregory N. Thyssen ◽  
Christopher D. Delhom ◽  
Efrem Bechere ◽  
...  
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