Interpretations of Single Fiber, Bundle, and Yarn Tenacity Data

Sasser, P.E.; Shofner, F. M.; Chu, Youe T.; Shofner, C. Kyle; Townes, Mark G.

doi:10.1177/004051759106101108

Cited by 41 publications

(28 citation statements)

References 1 publication

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“…Dhavan et al 11 derived mathematical model to predict the strength properties of single cotton fibers on the basis of bundle load-elongation curves. Similar research has also been done by Sasser et al 12 . Virgin and Wakeham 13 conducted experiments on the tensile properties of single fibers and bundles of cotton and found that the single fiber breaking tenacity and breaking elongation were well correlated with the breaking tenacity and breaking elongation of bundles, respectively, and the correlations were better at the longer gauge length.…”

Section: Introductionsupporting

confidence: 84%

Modeling the tensile behavior of fiber bundles with irregular constituent fibers

Wang

2004

J of Applied Polymer Sci

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In this paper, the effect of fiber dimensional irregularities on the tensile behavior of fiber bundles is modeled, using the finite element method (FEM). Fiber dimensional irregularities are simulated with sine waves of different magnitude. The specific stress-strain curves of fiber bundles and the constituent single fibers are obtained and compared. The results indicate that fiber diameter irregularity along fiber length has a significant effect on the tensile behavior of the fiber bundle. For a bundle of uniform fibers of different diameters, all constituent fibers will break simultaneously regardless of the fiber diameter. Similarly, if fibers within a bundle have the same pattern and level of diameter irregularity along fiber length, the fibers will break at the same time also regardless of the difference in average diameter of each fiber. In these cases, the specific stress and strain curve for the bundle overlaps with that of the constituent fibers. When the fiber bundle consists of single fibers with different levels of diameter irregularity, the specific stress-strain and load-elongation curves of the fiber bundle exhibit a stepped or "ladder" shape. The fiber with the highest irregularity breaks first, even when the thinnest section of the fiber is still coarser than the diameter of a very thin but uniform fiber in the bundle. This study suggests that fiber diameter irregularity along fiber length is a more important factor than the fiber diameter itself in determining the tensile behavior of a fiber bundle consisting of irregular fibers.

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Section: Introductionsupporting

confidence: 84%

Modeling the tensile behavior of fiber bundles with irregular constituent fibers

Wang

2004

J of Applied Polymer Sci

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“…Those authors also reported correlations between bundle and single-fibre strength (r = 0.92) and bundle and single-fibre elongation (r = 0.63). Sasser et al (1991) also reported a correlation between bundle and single-fibre strength (r = 0.79), although in that case singlefibre strength was, on average (across 33 genotypes, no elongation data reported), higher than bundle strength by 9.1 g tex -1 . This is attributed to the smaller gauge length used (3.2 mm), which is the same as the HVI bundle gauge length.…”

Section: Strength and Elongationmentioning

confidence: 96%

“…5). Sasser et al (1991) also reported that correlations between fibre strength and yarn strength were improved when single-fibre tensile properties were used instead of stelometer or HVI bundle strength parameters; however, they did not report elongation results. Single-fibre testing is thought to offer a more complete measure of inherent fibre tensile properties, which will thus reflect more directly how fibres will affect the tensile properties of yarn.…”

Section: Models and Fqis Using Single-fibre Tensile Propertiesmentioning

confidence: 99%

“…Single-fibre tensile testing is more tedious and thus not undertaken routinely, and although it relates to bundle tensile properties (Thibodeaux et al 1998) it is seen to give a better indication of intrinsic fibre tensile properties (Huson et al 2000). Various single-fibre tensile testing devices have been developed, including prototype research-specific instruments (Sasser et al 1991) and those manufactured for commercial use. Such instruments include more manual devices (Lord 1961), and semi-automated instruments such as the Mantis (Hebert et al 1995), which normalises the strength of fibres to the width of each fibre, and the Favimat (Textechno, Mönchengladbach, Germany) (Foulk and McAlister 2002;Delhom et al 2010), which uses vibroscope-determined linear density as the normalising parameter (Patt 1958;ASTM International 2010a).…”

Section: Introductionmentioning

confidence: 99%

“…Although work has been published comparing single-fibre and bundle tensile measures and their relative relationship to yarn properties (e.g. Sasser et al 1991), there are few studies examining the relationship between single-fibre tensile properties determined by Favimat Robot and yarn performance.…”

Section: Introductionmentioning

confidence: 99%

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An assessment of alternative cotton fibre quality attributes and their relationship with yarn strength

et al. 2013

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Abstract. Knowing the yarn-strength performance potential of cotton fibre is advantageous to spinners during mill preparation, and to researchers developing new genotypes and management strategies to produce better fibre. Standard High Volume Instrument (HVI) fibre quality attributes include micronaire (a combined measure of fibre linear density and maturity) and bundle tensile properties. While these attributes relate well to yarn strength, alternative fibre quality attributes may better explain the variation in yarn strength. Two field experiments over two seasons were conducted to assess the fibre and yarn performance of some Australian cotton genotypes. The aim was to assess and compare alternative measures for micronaire, and to compare bundle and single-fibre tensile measurements, and assess the relative yarn-strength predictive performance of these attributes. Specific fibre measurement comparisons were for linear density (double-compression Fineness Maturity Tester (FMT) and gravimetric), maturity ratio (FMT, polarised light, calculated, and cross-sectional), and tensile properties (HVI bundle and Favimat Robot single fibre). Multiple linear regression models for yarn strength that included yarn manufacturing variables and standard HVI fibre quality parameters performed well (standard error of prediction (SEP) 2.40 cN tex -1 ). Multiple linear regression models performed better when alternatives to micronaire were used, e.g. using gravimetric linear density (SEP, 2.15 cN tex -1 ) or laser photometric determined ribbon width (SEP 1.71 cN tex -1 ). Yarn strength models were also better when single fibre tensile properties were substituted for bundle tensile properties (SEP 1.07 cN tex -1 ). The substitution of alternative fineness variables for micronaire or single-fibre strength for bundle strength in a simple fibre quality index also improved the prediction of yarn strength.

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